{"id":"67a25fc8-59ed-4457-a60c-3729bea3fc68","entityType":"agent","slug":"clawhub-pruna-ai-p-image","name":"p-image","canonicalUrl":"https://www.xpersona.co/agent/clawhub-pruna-ai-p-image","canonicalPath":"/agent/clawhub-pruna-ai-p-image","generatedAt":"2026-10-10T14:45:33.375Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T12:07:11.845Z","emptyReason":null},"description":"Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. Skill: p-image Owner: pruna-ai Summary: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. Tags: ai:1.0.14, generative:1.0.14, latest:1.0.14, pruna:1.0.14 Version history: v1.0.14 | 2026-09-29T15:33:09.072Z | auto - Version bump to 1.0.14 in SKILL.md (from 1.0.13). - Removed the file: skil","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. 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explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\n\nTags: ai:1.0.14, generative:1.0.14, latest:1.0.14, pruna:1.0.14\n\nVersion history:\n\nv1.0.14 | 2026-09-29T15:33:09.072Z | auto\n\n- Version bump to 1.0.14 in SKILL.md (from 1.0.13).\n- Removed the file: skill-card.md.\n- No functional or workflow changes—documentation and versioning update only.\n\nv1.0.13 | 2026-09-17T13:54:59.223Z | auto\n\nVersion 1.0.13\n\n- Updated SKILL.md content to reflect latest guidance and routing for related skills (notably p-video-2-pro and p-video-2).\n- Removed the file skill-card.md.\n- No changes to API or usage instructions.\n\nv1.0.12 | 2026-09-10T13:53:37.834Z | auto\n\np-image 1.0.12\n\n- Updated references from `p-video` to `p-video-2` where appropriate for video routing and skill recommendations.\n- Removed the `skill-card.md` file.\n- No changes to API, usage, or prompt craft.\n\nv1.0.11 | 2026-09-03T14:08:41.741Z | auto\n\n- Version bumped to 1.0.11.\n- Documentation updated in SKILL.md with no content changes detected except metadata version increment.\n- skill-card.md file removed.\n\nv1.0.10 | 2026-08-28T07:54:56.098Z | auto\n\np-image 1.0.10\n\n- Updated version metadata to 1.0.10 in SKILL.md.\n- Removed outdated skill-card.md file.\n- No functional or interface changes to prompts or APIs.\n\nv1.0.9 | 2026-08-04T06:16:53.986Z | auto\n\n**Clarified routing and use case for `p-image` vs. `p-image-ideogram`.**\n\n- Made it explicit that `p-image` is for the fastest, cheapest photo generation, not for photoreal, text-in-image, or structured outputs.\n- Added guidance on when to use `p-image-ideogram` or other related skills instead.\n- Updated agent instructions for clearer routing and first-reply intake.\n- Streamlined and expanded the \"When NOT to use\" section with new comparison language.\n- Removed obsolete reference file (skill-card.md).\n\nv1.0.8 | 2026-07-28T17:19:11.130Z | auto\n\np-image 1.0.8\n\n- Updated skill version to 1.0.8 in documentation.\n- First reply pattern now calls for open intake using `generation-diversity` for clarification, aligning prompt intake to latest standards.\n- Minor edit to agent habit section for clarity and intake alignment.\n- Removed redundant or outdated documentation file: skill-card.md.\n\nv1.0.7 | 2026-07-23T12:33:51.279Z | auto\n\n- Major refactor: streamlined documentation and consolidated prompts and scenario guidance to core skills.\n- Added explicit prerequisites section, instructing to install and use `generation-diversity`, `image-prompting`, and `pruna-api` skills before generating images.\n- Moved detailed prompting, generation diversity, photoreal persona, and scenario matrix rules into shared skills and guides; this skill now refers out, not repeats.\n- Removed standalone references and checklists for diversity, prompt quality, seed rituals, and persona scenarios.\n- Clarified agent habits: confirm model, credential, and prompt with user up front, always following prompt fidelity rules.\n- Expanded related/next-step skills table in markdown for paste-friendly install guidance.\n\nv1.0.6 | 2026-07-16T20:58:39.713Z | auto\n\np-image 1.0.6\n\n- Updated documentation links to use new `/references/policies/` directory and centralized shared documentation.\n- Added a \"Shared generation policy\" section outlining required quality and diversity steps before running image generation.\n- Shortened and clarified the description for broader, more accessible use cases.\n- Removed the obsolete skill-card.md file.\n- Revised references and examples to ensure consistency with new documentation structure.\n\nv1.0.2 | 2026-07-16T13:26:23.985Z | auto\n\n- Dropped reference and recommendation for the \"p-image-ideogram\" skill; now focused solely on p-image for fast text-to-image needs.\n- Clarified that dense readable typography is not supported; prompts should avoid copy-heavy scenes.\n- Minor updates to documentation for clarity and focus, removing unnecessary alternate suggestions and extra workflow descriptions.\n- Removed the redundant skill-card.md file.\n\nv1.0.1 | 2026-07-14T15:46:55.677Z | auto\n\n**Expanded documentation, clarified usage, and updated quality guidance for p-image skill.**\n\n- Rewrote documentation to highlight \"good quality, extremely fast\" generation, and clarified that p-image is fastest for bulk/draft/mood board stills—not the best for photoreal hero plates.\n- Added explicit guidance on when NOT to use this skill, with clear links to alternative skills for photoreal images, editing, or try-on.\n- Updated references and examples: improved prompt examples, removed recommendations to pass seed except for reproducibility, and added a self-contained example prompt file.\n- Removed obsolete files (pspm.json, skill-card.md), updated references, and improved navigation to related workflows.\n- Revised checklists and instructions for production quality outputs, diversity, and realism for downstream tasks.\n\nv0.0.1 | 2026-07-14T15:03:16.068Z | auto\n\n- Initial release of the p-image skill for Pruna.\n- Provides extremely fast, good-quality text-to-image generation optimized for speed and low latency over maximum photorealism.\n- Ideal for mood boards, draft stills, and fast bulk panel creation.\n- Supports both asynchronous (recommended) and synchronous modes via Pruna P-API.\n- Detailed guidance on input options, best practices, scenario planning, and integration with related skills for image editing, try-on, upscaling, and animation.\n\nv1.0.0 | 2026-06-30T14:47:43.893Z | auto\n\n- Initial release of the p-image skill for ultra-fast text-to-image generation via Pruna.\n- Supports both asynchronous (recommended) and quick synchronous generation methods.\n- Allows customizable parameters: prompt, aspect_ratio, seed, and advanced options.\n- Includes best practices for prompt engineering, scenario coverage, and quality checks.\n- Provides guidance for downstream workflows: editing, try-on, upscaling, and video/animation integration.\n\nArchive index:\n\nArchive v1.0.14: 4 files, 5008 bytes\n\nFiles: skill-card.md (1687b), skill.manifest.json (23b), SKILL.md (8911b), _meta.json (127b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.14\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video-2` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video-2-pro` | Use when someone wants a cinematic clip from text or start/end frames — product ads, documentary shots, or dialogue with generated audio. Not for 1080p, imported audio tracks, or talking-head-only hosts. | `npx skills add PrunaAI/pruna-skills@p-video-2-pro -y` |\n| `p-video-2` | Use when someone wants a polished short clip from text, images, or imported audio — 1080p B-roll, start/end frame animation, or a motion shot with a mixed track. Not for cinematic generated-audio clips or talking-head-only hosts. | `npx skills add PrunaAI/pruna-skills@p-video-2 -y` |\n| `p-video` | Use when someone wants a simple short clip from text or images — quick B-roll, drafts, or start/end frame animation. Not when the brief needs cinematic generation, highest quality, tight lip-sync, or imported audio at 1080p. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.14:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1790695989072\n}\n\nFile v1.0.14:skill-card.md\n\n## Description:\n\nUse when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate quick photos, mood-board images, and batches of visual variations from text prompts through Pruna's image API.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Optional companion-skill installation commands can fetch changing versions.\n\nMitigation: Review or pin companion skill versions before installation.\n\nRisk: Image prompts and generation parameters are sent to Pruna's API.\n\nMitigation: Avoid confidential prompts and use the API only when this data sharing is acceptable.\n\n## Reference(s):\n\n- [p-image on ClawHub](https://clawhub.ai/pruna-ai/skills/p-image)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Shell commands, Image links]\n\n**Output Format:** [Markdown with prompts, bash commands, and generated image links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Prompts and aspect ratios are confirmed before generation; image retrieval may require polling.]\n\n## Skill Version(s):\n\n1.0.14 (source: frontmatter, server release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.14:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.13: 4 files, 5125 bytes\n\nFiles: skill-card.md (1926b), skill.manifest.json (23b), SKILL.md (8911b), _meta.json (127b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.13\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video-2` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video-2-pro` | Use when someone wants a cinematic clip from text or start/end frames — product ads, documentary shots, or dialogue with generated audio. Not for 1080p, imported audio tracks, or talking-head-only hosts. | `npx skills add PrunaAI/pruna-skills@p-video-2-pro -y` |\n| `p-video-2` | Use when someone wants a polished short clip from text, images, or imported audio — 1080p B-roll, start/end frame animation, or a motion shot with a mixed track. Not for cinematic generated-audio clips or talking-head-only hosts. | `npx skills add PrunaAI/pruna-skills@p-video-2 -y` |\n| `p-video` | Use when someone wants a simple short clip from text or images — quick B-roll, drafts, or start/end frame animation. Not when the brief needs cinematic generation, highest quality, tight lip-sync, or imported audio at 1080p. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.13:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1789653299223\n}\n\nFile v1.0.13:skill-card.md\n\n## Description:\n\nUse when someone explicitly wants fast, low-cost photo generation for mood boards, bulk panels, or quick iterations, rather than controlled photoreal output or in-image text.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, developers, and agents use this skill to route simple photo-generation requests to Pruna's p-image model, craft faithful prompts, choose aspect ratios, and call the Pruna API for quick still-image outputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts, private images, or sensitive tokens may be sent to Pruna's API.\n\nMitigation: Do not submit confidential prompts, private images, or sensitive tokens unless the user accepts sharing them with Pruna's API.\n\nRisk: Installer commands load Pruna skills from an external source.\n\nMitigation: Confirm the Pruna skill source is trusted and prefer pinned or otherwise verified installer commands before installation.\n\n## Reference(s):\n\n- [ClawHub p-image skill page](https://clawhub.ai/pruna-ai/skills/p-image)\n- [Pruna predictions API endpoint](https://api.pruna.ai/v1/predictions)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Shell commands, API calls, Configuration]\n\n**Output Format:** [Markdown with inline bash commands and JSON payload examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY and sends prompt and aspect-ratio inputs to Pruna's API.]\n\n## Skill Version(s):\n\n1.0.13 (source: server release evidence and artifact metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.13:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.12: 4 files, 5096 bytes\n\nFiles: skill-card.md (2088b), skill.manifest.json (23b), SKILL.md (8577b), _meta.json (127b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.12\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video-2` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video-2` | Use when someone wants the best-quality short clip from text, images, or audio — polished B-roll, start/end frame animation, or a motion shot with stronger lip-sync. Not for full multi-scene films or talking-head-only hosts. | `npx skills add PrunaAI/pruna-skills@p-video-2 -y` |\n| `p-video` | Use when someone wants a simple short clip from text or images — quick B-roll, drafts, or start/end frame animation. Not when the brief needs the highest quality or tight lip-sync. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.12:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1789048417834\n}\n\nFile v1.0.12:skill-card.md\n\n## Description:\n\nUse when someone explicitly wants the fastest, cheapest photo generation - mood boards, bulk panels, or quick iterations - not when controlled photoreal or in-image text is needed.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to route simple, fast image-generation requests through Pruna, draft faithful still-image prompts, and produce API calls with aspect-ratio options.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill recommends unpinned remote skill installs, including a full-suite install path.\n\nMitigation: Pin or inspect referenced PrunaAI/pruna-skills packages before installation and avoid the full-suite install unless it is needed.\n\nRisk: The skill exposes disable_safety_checker as an optional field.\n\nMitigation: Do not use disable_safety_checker unless there is a clearly authorized and policy-compliant reason.\n\nRisk: The skill requires PRUNA_API_KEY for API calls.\n\nMitigation: Keep PRUNA_API_KEY scoped and private, and run the skill in a sandboxed agent environment.\n\n## Reference(s):\n\n- [ClawHub p-image skill page](https://clawhub.ai/pruna-ai/skills/p-image)\n- [Pruna AI publisher profile](https://clawhub.ai/user/pruna-ai)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown with inline shell commands and API request examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY for API execution; image prompts should preserve the user's requested subject and settings.]\n\n## Skill Version(s):\n\n1.0.12 (source: server release metadata and frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.12:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.11: 4 files, 4927 bytes\n\nFiles: skill-card.md (1862b), skill.manifest.json (23b), SKILL.md (8273b), _meta.json (127b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.11\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.11:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1788444521741\n}\n\nFile v1.0.11:skill-card.md\n\n## Description:\n\nUse when someone explicitly wants the fastest, cheapest photo generation -- mood boards, bulk panels, or quick iterations -- not when controlled photoreal or in-image text is needed.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal developers and agents use this skill to route simple photo-generation requests to Pruna's hosted p-image model, draft faithful prompts, choose aspect ratios, and produce API calls for image generation.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts are sent to Pruna's hosted API using PRUNA_API_KEY.\n\nMitigation: Avoid including secrets, private documents, or sensitive personal data in prompts, and install only if sending prompts to Pruna is acceptable.\n\nRisk: The optional full-suite install may add additional Pruna-related skills.\n\nMitigation: Review the optional full-suite install before running it and install only the needed skills when minimizing scope matters.\n\n## Reference(s):\n\n- [p-image on ClawHub](https://clawhub.ai/pruna-ai/skills/p-image)\n- [Pruna Predictions API](https://api.pruna.ai/v1/predictions)\n\n## Skill Output:\n\n**Output Type(s):** [guidance, shell commands, configuration]\n\n**Output Format:** [Markdown guidance with bash/curl examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY and sends prompts to Pruna's hosted API.]\n\n## Skill Version(s):\n\n1.0.11 (source: release evidence and frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.11:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.10: 4 files, 5066 bytes\n\nFiles: skill-card.md (2194b), skill.manifest.json (23b), SKILL.md (8273b), _meta.json (127b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.10\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.10:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1787903696098\n}\n\nFile v1.0.10:skill-card.md\n\n## Description:\n\nUse when someone explicitly wants the fastest, cheapest photo generation -- mood boards, bulk panels, or quick iterations -- not when controlled photoreal or in-image text is needed.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external agent users use this skill to route simple still-image requests to Pruna's p-image API, draft faithful prompts, confirm prompt and aspect ratio before generation, and produce curl commands for async or quick test calls.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill uses a Pruna API key for network image-generation requests.\n\nMitigation: Confirm PRUNA_API_KEY is configured only in the execution environment and avoid exposing it in prompts, logs, or shared command output.\n\nRisk: Image-generation requests may consume paid or limited quota.\n\nMitigation: Show the drafted prompt and aspect ratio before making API calls unless the user has already locked the wording.\n\nRisk: Simple image generation may be a poor fit for controlled photorealism, readable in-image text, edits, or video.\n\nMitigation: Route those requests to the more specific Pruna skills named by the artifact instead of re-running p-image.\n\n## Reference(s):\n\n- [ClawHub p-image release page](https://clawhub.ai/pruna-ai/skills/p-image)\n- [Pruna predictions API endpoint](https://api.pruna.ai/v1/predictions)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Markdown, Shell commands, Configuration]\n\n**Output Format:** [Markdown with inline bash code blocks and API request examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY for API calls; image generation can consume paid quota.]\n\n## Skill Version(s):\n\n1.0.10 (source: server release evidence and skill frontmatter)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.10:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.9: 4 files, 5039 bytes\n\nFiles: skill-card.md (2182b), skill.manifest.json (23b), SKILL.md (8272b), _meta.json (126b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.9\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-ideogram` | Use when photo generation needs more control — photoreal results, text in the image, or structured JSON with hex colors and bounding boxes. Simpler photo generation, edits, and video use other skills in the suite. | `npx skills add PrunaAI/pruna-skills@p-image-ideogram -y` |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Photo approved → edit:** hand off to `p-image-edit` on the output URL — do not run photo generation again for the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1785824213986\n}\n\nFile v1.0.9:skill-card.md\n\n## Description: <br>\nUse when someone explicitly wants the fastest, cheapest photo generation - mood boards, bulk panels, or quick iterations - not when controlled photoreal or in-image text is needed. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[pruna-ai](https://clawhub.ai/user/pruna-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, developers, and agent operators use this skill to route simple, quick photo-generation requests to Pruna's p-image API, draft faithful prompts, choose an aspect ratio, and produce the curl command pattern for asynchronous generation. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Generated prompts and related image data may be sent to Pruna's external API, and API usage may incur cost. <br>\nMitigation: Confirm PRUNA_API_KEY setup, review prompts before submission, and use the asynchronous generation flow intentionally before making paid API calls. <br>\nRisk: Companion Pruna skills can affect credential handling and upload, polling, or download behavior. <br>\nMitigation: Review companion skills separately before installation or use, especially the API helper skill. <br>\n\n\n## Reference(s): <br>\n- [ClawHub p-image skill page](https://clawhub.ai/pruna-ai/skills/p-image) <br>\n- [Pruna predictions API endpoint](https://api.pruna.ai/v1/predictions) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [guidance, markdown, shell commands, configuration] <br>\n**Output Format:** [Markdown with inline bash curl commands and API request parameters] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY and may use optional image-generation parameters such as aspect_ratio and seed.] <br>\n\n## Skill Version(s): <br>\n1.0.9 (source: server release evidence and SKILL.md frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.9:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.8: 4 files, 4675 bytes\n\nFiles: skill-card.md (1979b), skill.manifest.json (23b), SKILL.md (7387b), _meta.json (126b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt.\nlicense: MIT\nmetadata:\n  version: \"1.0.8\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Hero approved → tweak:** hand off to `p-image-edit` on the hero URL — do not text-to-image re-roll the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1785259151130\n}\n\nFile v1.0.8:skill-card.md\n\n## Description: <br>\nUse when someone wants a fast AI image, such as product shots, hero visuals, mood boards, or draft photos from a text prompt. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[pruna-ai](https://clawhub.ai/user/pruna-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers and creative operators use this skill to guide agents through Pruna text-to-image generation, including prompt intake, aspect-ratio selection, API request construction, and follow-on image workflows. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill uses Pruna's external API and requires a PRUNA_API_KEY credential. <br>\nMitigation: Keep the API key out of prompts, logs, and committed files, and review generated curl commands before execution. <br>\nRisk: The optional disable_safety_checker field can reduce model safety controls. <br>\nMitigation: Use disable_safety_checker only for clearly authorized, policy-compliant work; otherwise leave safety checking enabled. <br>\n\n\n## Reference(s): <br>\n- [Pruna predictions API endpoint](https://api.pruna.ai/v1/predictions) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [guidance, markdown, shell commands, configuration, API calls] <br>\n**Output Format:** [Markdown guidance with curl commands and JSON request bodies] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY and can pass prompt, aspect_ratio, seed, LoRA, Hugging Face token, and safety-checker options to the Pruna API.] <br>\n\n## Skill Version(s): <br>\n1.0.8 (source: server release metadata and skill frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.8:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.7: 4 files, 4602 bytes\n\nFiles: skill-card.md (1863b), skill.manifest.json (23b), SKILL.md (7321b), _meta.json (126b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt.\nlicense: MIT\nmetadata:\n  version: \"1.0.7\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio. When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording | Silent regen with a different subject than approved |\n\n**Fidelity check (before pay):** if you remove the user’s named subject/product/setting from the prompt, the job is wrong — rewrite. Free axes only fill what the brief left open.\n\nWhen showing a drafted prompt, still name `` `p-image` `` (guides help craft; this tool owns the call).\n\n**Pruna note:** `p-image` has **no prompt upsampling** — concrete language is the whole craft. Avoid dense readable typography unless the user explicitly asked for copy on a surface.\n\n## When NOT to use\n\nUse a different skill instead:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: follow `pruna-api`.\n\nComplete the random seed ritual from `generation-diversity` before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Generation flow\n\nFollow `generation-diversity` **still-image prompt flow** every time:\n\n1. **Lock brief** — user subject, product, format, any copy-on-surface.\n2. **Ritual seed** — fresh string; derive free axes (camera, lighting, `render_category_tag`, **`aspect_ratio`** when unset).\n3. **Draft explicit prompt** — **Prompt craft (dynamic + faithful)** + `image-prompting` golden rules; **fidelity check** before pay.\n4. **Confirm** — show `prompt` + `aspect_ratio` unless wording is locked.\n5. **POST** — async curl below; poll via `pruna-api`; run `p-image` quality checklist before upscale/video.\n\n**Aspect ratio:** pass `aspect_ratio` in `input`; if output dimensions do not match (e.g. asked `16:9`, got portrait), retry once with explicit `horizontal wide` / `vertical` wording in the prompt.\n\n**Mood board / batch:** new ritual per independent still; different **`aspect_ratio`** per panel when format not locked.\n\n**Hero approved → tweak:** hand off to `p-image-edit` on the hero URL — do not text-to-image re-roll the same subject.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n## Typical next steps\n\nCommon follow-ons after this skill:\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `p-image-edit` | Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits. | `npx skills add PrunaAI/pruna-skills@p-image-edit -y` |\n| `p-image-try-on` | Use when someone wants virtual try-on — dress a person in clothes from reference photos for fashion or ecommerce. | `npx skills add PrunaAI/pruna-skills@p-image-try-on -y` |\n| `p-image-upscale` | Use when someone wants to upscale or sharpen an existing image for print, large crops, or higher-quality delivery. | `npx skills add PrunaAI/pruna-skills@p-image-upscale -y` |\n| `p-video` | Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts. | `npx skills add PrunaAI/pruna-skills@p-video -y` |\n| `avatar-single-scene` | Use when someone wants one polished host-on-camera beat — a speaking person with intake and approval gates before generation. | `npx skills add PrunaAI/pruna-skills@avatar-single-scene -y` |\n| `avatar-multi-scene` | Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity. | `npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y` |\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1784810031279\n}\n\nFile v1.0.7:skill-card.md\n\n## Description: <br>\nUse when someone wants a fast AI image - product shots, hero visuals, mood boards, or draft photos from a text prompt. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[pruna-ai](https://clawhub.ai/user/pruna-ai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, creators, and external users use this skill to draft prompts, choose aspect ratios, and call Pruna's p-image model for fast text-to-image generation. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill exposes a disable_safety_checker option, which could bypass normal provider safety controls. <br>\nMitigation: Review the skill before installing, avoid using disable_safety_checker, and provide external tokens or custom weights only when their purpose and destination are understood. <br>\n\n\n## Reference(s): <br>\n- [p-image on ClawHub](https://clawhub.ai/pruna-ai/skills/p-image) <br>\n- [Pruna predictions API endpoint](https://api.pruna.ai/v1/predictions) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown with inline bash commands and JSON request bodies] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Requires PRUNA_API_KEY; required input is prompt, with optional aspect ratio, seed, LoRA settings, Hugging Face token, and safety-checker control.] <br>\n\n## Skill Version(s): <br>\n1.0.7 (source: server release metadata and skill frontmatter) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.7:skill.manifest.json\n\n{\n  \"references\": []\n}\n\nArchive v1.0.6: 13 files, 36962 bytes\n\nFiles: README-INSTALL.md (878b), references/api-credentials.md (3128b), references/generation-diversity.md (25978b), references/generation-quality-checklists.md (10290b), references/p-image-quality-checklist.md (2269b), references/pruna-api.md (5074b), references/random-seed-ritual.md (4011b), references/realistic-persona-example-prompt.md (6724b), references/realistic-persona-showcase.md (22925b), skill-card.md (2727b), skill.manifest.json (240b), SKILL.md (7881b), _meta.json (126b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: p-image\ndescription: Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt.\nlicense: MIT\nmetadata:\n  version: \"1.0.6\"\n  pruna_model: p-image\n---\n\n## Shared generation policy\n\n<!-- shared-generation-policy -->\n\nBefore any paid `POST /v1/predictions`:\n\n1. **[Random seed ritual](./references/random-seed-ritual.md)** — always first; derive axes via sum-mod.\n2. **[Generation diversity](./references/generation-diversity.md)** — explicit prompts; rotate ≥2 scenario axes per session.\n3. **[Quality checklists](./references/generation-quality-checklists.md)** — open output files and judge pass/fail before advancing.\n\n# p-image (Pruna)\n\n**Good quality, extremely fast** text-to-image via Pruna P-API. Full parameters: [p-image model docs](https://docs.api.pruna.ai/guides/models/p-image).\n\n## When NOT to use\n\n- Editing an existing image → [p-image-edit](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-edit/skills/p-image-edit/SKILL.md)\n- Virtual try-on on a person plate → [p-image-try-on](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-try-on/skills/p-image-try-on/SKILL.md)\n\n**Dynamic persona & scenarios:** [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/realistic-persona-showcase.md) · examples: [example-prompt.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/realistic-persona-example-prompt.md)\n\nShared HTTP patterns: [pruna-api.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/pruna-api.md) (upload, [poll](#poll), [download](#download))\n\n## HTTP (curl)\n\n### Create (async — recommended)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'\n```\n\nPoll and download: [pruna-api.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/pruna-api.md#poll).\n\nComplete the [random seed ritual](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/random-seed-ritual.md) (SSoT) before writing prompts — **do not** pass the ritual string as API `seed`. Optional `api_seed` only when the user requests reproducibility.\n\n### Create (sync — quick test only)\n\n```bash\ncurl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'\n```\n\n## Before generating\n\n1. **[Generation diversity](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/generation-diversity.md)** — ritual seed (SSoT) + [explicit prompt structure](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/generation-diversity.md#explicit-prompt-structure-required) (specific people/animals, objects, actions, setting). **`p-image` has no prompt upsampling** — follow [text hygiene](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/generation-diversity.md#text--typography-by-model). **Multi-example batches:** different **`aspect_ratio`** per still.\n2. Confirm **`prompt`** and **`aspect_ratio`** with the user. Run [p-image-quality-checklist.md](./references/p-image-quality-checklist.md) on outputs before downstream steps.\n\n## Production quality — photoreal personas\n\nDefault demos often look **AI sloppy** (generic white background, plastic skin, same face). For **`p-video-avatar`**, **`p-image-try-on`**, or public playground examples, art-direct plates explicitly:\n\n| Goal | Prompt discipline |\n|------|-------------------|\n| **Photoreal** | `documentary portrait, natural skin pores, not CGI, not illustration` |\n| **Stylized / anime** | Named `visual_style_tag` — cinematic cel, cyberpunk anime, clay, CG 3D; mouth visible for avatars |\n| **Diverse cast** | Specific age, ethnicity, archetype — rotate across example sets |\n| **Dynamic worlds** | Named setting + lighting + **camera angle** — not one template repeated |\n| **Scenario matrix** | Plan medium × angle × setting × **aspect_ratio** per row before generating |\n| **Avatar-ready** | Face large; **mouth clearly visible**; hands away from mouth |\n| **Try-on-ready** | Full-body or region coverage for garment type (feet for shoes, etc.) |\n\nFull scenario generation (photographic styles, anime sub-styles, camera ladder, 8-slot matrix): [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/realistic-persona-showcase.md). Variety planning: [visual-variety-bible.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/visual-variety-bible.md).\n\nLock **hero plate URL** at hero generation when the same identity continues to **`p-image-edit`**, **`p-image-try-on`**, or **`p-video-avatar`**.\n\n## Required input\n\n- `prompt` (string)\n\n## Common optional fields\n\n- `aspect_ratio`: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `custom` (with `width` / `height` multiples of 16, 256–1440)\n- `seed`, `lora_weights`, `lora_scale`, `hf_api_token`, `disable_safety_checker`\n\n**No prompt upsampling** on this model — keep prompts concrete per [generation-diversity](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/generation-diversity.md#text--typography-by-model). Avoid dense readable typography; prefer scenes without copy.\n\n## Example: synchronous\n\n(See **Create (sync)** above.)\n\n## Example: asynchronous (batch / multi-panel)\n\nOmit `Try-Sync`. For N panels with no shared dependency, **POST all jobs in parallel**, then poll every `get_url`. See [parallel-execution.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/parallel-execution.md).\n\n## Typical next steps\n\n- Refine or composite: [p-image-edit](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-edit/skills/p-image-edit/SKILL.md)\n- Virtual try-on on a photoreal person plate: [p-image-try-on](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-try-on/skills/p-image-try-on/SKILL.md) — see [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/realistic-persona-showcase.md)\n- Upscale output: [p-image-upscale](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-upscale/skills/p-image-upscale/SKILL.md)\n- Animate still: [p-video](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-video/skills/p-video/SKILL.md) — prefer [scene anchor triple](https://github.com/PrunaAI/pruna-skills/tree/main/references/shared/scene-anchor-triple.md) (`image` + `last_frame_image` + `audio`) for narrated beats; or [p-video-avatar](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-video-avatar/skills/p-video-avatar/SKILL.md) for talking head\n- Scripted workflows (intake first): [avatar-single-scene](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-single-scene/skills/avatar-single-scene/SKILL.md), [avatar-multi-scene](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-multi-scene/skills/avatar-multi-scene/SKILL.md)\n- Full pipeline: [pruna-generative-pipeline](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md)\n\n## Related workflow\n\nAvatar + animate reels: [avatar-multi-scene](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-multi-scene/skills/avatar-multi-scene/SKILL.md) — bundled scripts live in workflow skills, not here.\n\nFile v1.0.6:_meta.json\n\n{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.6\",\n  \"publishedAt\": 1784235519713\n}\n\nFile v1.0.6:references/api-credentials.md\n\n# API credentials (Pruna + Replicate)\n\n**Agent rule:** Before any `POST /v1/predictions`, Replicate prediction, or paid runner — check env vars. If a required key is **missing or empty**, **stop** and tell the user how to sign up. Do not guess, mock, or skip with placeholder keys.\n\n## Pruna P-API\n\n| | |\n|--|--|\n| **Env var** | `PRUNA_API_KEY` |\n| **Header** | `apikey: ${PRUNA_API_KEY}` (not `Authorization: Bearer`) |\n| **Sign up / get key** | [Pruna dashboard](https://dashboard.pruna.ai/) |\n| **Docs** | [Quickstart](https://docs.api.pruna.ai/guides/quickstart) · [pruna-api.md](./pruna-api.md) |\n\n**Used by:** all `p-image*`, `p-video*` tool skills and Pruna workflow runners.\n\n### If `PRUNA_API_KEY` is missing — agent message template\n\n> Pruna generation needs an API key. Sign up or sign in at **[dashboard.pruna.ai](https://dashboard.pruna.ai/)**, create an API key, then set:\n>\n> ```bash\n> export PRUNA_API_KEY=\"your_key_here\"\n> ```\n>\n> Add that to your shell profile or project `.env` (never commit the key). Reply when it’s set and we can continue.\n\n## Replicate\n\n| | |\n|--|--|\n| **Env var** | `REPLICATE_API_TOKEN` |\n| **Header** | `Authorization: Bearer ${REPLICATE_API_TOKEN}` |\n| **Sign up / get token** | [Replicate API tokens](https://replicate.com/account/api-tokens) ([sign in](https://replicate.com/signin) first if needed) |\n| **Docs** | [replicate-api.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/replicate-api/SKILL.md) |\n\n**Used by:** `music-2.5`, `gemini-3.1-flash-tts`, `stable-audio-2.5`, `whisperx`, and workflow beds/TTS/song phases.\n\n### If `REPLICATE_API_TOKEN` is missing — agent message template\n\n> This step uses Replicate (song, TTS, transcription, or background bed). Create a token at **[replicate.com/account/api-tokens](https://replicate.com/account/api-tokens)**, then set:\n>\n> ```bash\n> export REPLICATE_API_TOKEN=\"r8_...\"\n> ```\n>\n> Reply when it’s set and we can continue.\n\n## Which key does this job need?\n\n| Task | Keys required |\n|------|----------------|\n| `p-image`, `p-image-edit`, `p-image-upscale`, `p-image-try-on` | `PRUNA_API_KEY` |\n| `p-video`, `p-video-avatar`, `p-video-animate`, `p-video-replace` | `PRUNA_API_KEY` |\n| Music 2.5 song generation | `REPLICATE_API_TOKEN` |\n| Gemini TTS narration | `REPLICATE_API_TOKEN` |\n| Stable Audio background bed | `REPLICATE_API_TOKEN` |\n| WhisperX transcription | `REPLICATE_API_TOKEN` |\n| Music video / explainer (full pipeline) | **Both** — Pruna for stills/video; Replicate for song/TTS/bed as needed |\n\nWhen only one key is missing, suggest **only** that provider’s signup link — not both.\n\n## Security\n\n- Never print full keys in chat or commit them to git.\n- `.env` is gitignored; prefer env vars over hardcoding in plans or manifests.\n- Never embed keys in prompts, manifests, plan JSON, logs, or **subagent task text**.\n- Prefer the **parent agent** to own API calls; do not fan credentials across parallel subagents unless the host documents isolated secret injection.\n- Full rules: [agent-safety.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/agent-safety/SKILL.md).\n\nFile v1.0.6:references/generation-diversity.md\n\n# Generation diversity (all models)\n\nOne checklist so **every** Pruna output — **`p-image`**, **`p-video`**, try-on, avatar, replace, animate — is as **diverse** as the brief allows. Details live in linked docs; this page is the agent shortcut.\n\nUse the **full** checklist here for every generation.\n\n## Contents\n\n- [Three steps (every job)](#three-steps-every-job)\n- [Explicit prompt structure](#explicit-prompt-structure-required)\n- [Text & typography by model](#text--typography-by-model)\n- [SSoT axis derivation](#ssot-axis-derivation-sum-mod)\n- [Scenario axes](#scenario-axes-rotate-across-outputs)\n- [Render categories](#render-categories)\n- [Crowded scenes](#crowded-scenes-p-image)\n- [Body type spread](#body-type-spread)\n- [Location-matched crowds](#location-matched-crowds)\n- [Group classes](#group-classes--courses)\n- [Framing & camera](#framing--camera)\n- [Scene spice](#scene-spice-when-it-fits)\n- [Photoreal anti-slop](#photoreal-anti-slop-neon--stylized-briefs)\n- [Aspect ratio](#aspect-ratio-multi-example-sets)\n- [By model](#by-model-minimum-diversity)\n- [When not to maximize diversity](#when-not-to-maximize-diversity)\n- [Anti-patterns](#anti-patterns)\n\n## Three steps (every job)\n\n1. **[Random seed ritual](./random-seed-ritual.md) (SSoT)** — **always first**, before the prompt. Generate a fresh random string, **state it in the turn**, derive axes via [sum-mod](#ssot-axis-derivation-sum-mod). **Do not** pass the ritual string to API `seed`. **One new ritual string per independent generation**; reuse only on same-brief slop retry.\n2. **Write an [explicit prompt](#explicit-prompt-structure-required)** — name specific people, animals, objects, actions, setting, and camera/light. Add text/typography only when the brief needs it — see [text rules by model](#text--typography-by-model).\n3. **Diversify the scenario row** — change at least **two axes** from the previous output in the same session (cast, setting, camera, **`render_category_tag`**, **aspect_ratio**, creatures, props, … — unless user asked for continuity).\n4. **Log** — `ritual_seed`, axes chosen, prediction id (manifest or turn text).\n\n## Explicit prompt structure (required)\n\n**Vague prompts produce generic AI slop.** After the ritual and axis picks, every still prompt must be **specific and dynamic** — concrete nouns, frozen actions, named places. Prefer playground/creative briefs over marketing abstractions.\n\n**Name at least four of these per prompt (log tags in manifest):**\n\n| Clause | Log as | Agent must specify |\n|--------|--------|-------------------|\n| **People** | `cast_descriptor` | Named role + age band + expression (`fearless grandmother in floral apron`, not `woman`) |\n| **Animals / creatures** | `creature_tag` | Species + attitude (`otter DJ`, `luna moth knight`, `VIP anglerfish`) |\n| **Objects** | `prop_tag` | Concrete props (`vinyl record`, `chrome rocket sled`, `velvet rope`, `tiny boombox`) |\n| **Action** | `action_tag` | Frozen mid-motion verb (`scratching vinyl`, `lassoing runaway taco truck`, `cape mid-swing`) |\n| **Duration** | `duration_tag` | When timing matters (`1970s`, `8PM`, `45-minute spin class`, `Saturday-morning cartoon`) |\n| **Setting** | `setting_tag` | Named place + era + materials (`packed 1970s roller rink`, `abyss-depth jellyfish nightclub`, `Monument Valley dust storm`) |\n| **Text / typography** | `text_spec` | Only when brief needs readable type — exact strings + surface (see [by model](#text--typography-by-model)) |\n| **Camera + light** | `camera_tag`, `lighting_tag` | `fish-eye lens`, `tilt-shift macro`, `teal-magenta cinematic`, `golden hour sparkle` |\n| **Style** | `render_category_tag` | Medium (`cel-shaded anime`, `baroque oil painting`, `ink-wash storybook`, `photoreal documentary`) |\n\n**Template:**\n\n```text\n{people and/or creatures} {action} with/at {specific objects} in {named setting},\n{style or era cues}, {camera_tag}, {lighting_tag}\n```\n\n**Good examples (dynamic / specific):**\n\n```text\nDisco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink,\nfish-eye lens, glitter confetti mid-air, funky energy\n```\n\n```text\nBioluminescent jellyfish nightclub at abyss depth, VIP anglerfish in sunglasses at velvet rope,\nteal-magenta cinematic lighting\n```\n\n```text\nCorgi cowboy lassoing a runaway taco truck through Monument Valley dust storm,\npulp western poster energy, dynamic diagonal composition\n```\n\n**Anti-pattern:** `cool cyberpunk portrait, neon vibes` — no subject, no action, no place. **Right:** name who, what they're doing, where, with which props.\n\n## Text & typography by model\n\n**Never use negation to suppress text** — `no text`, `without signs`, `no typography` often **invoke** the thing you are trying to avoid. Describe surfaces positively when you want blank walls (`plain unmarked walls`, `matte unprinted props`).\n\n| Model | Prompt upsampling | Typography in prompt |\n|-------|-------------------|----------------------|\n| **`p-image`** | **No** effective prompt upsampling | **Avoid** dense readable-type requests unless user explicitly wants `text_rendering`. Short prompts; skip `readable`, `legible`, `headline`, multi-sign lists — they drift to gibberish. Collage triggers still apply: [interactive-explainer-prompts.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/interactive-explainer-prompts.md) (`flat lay`, `grid`, `collage`, …). |\n\n**`p-image` text hygiene:** prefer scenes without copy. If a screen appears: `monitor soft colorful blur glow only` — not legible UI unless the user explicitly asked for readable text (then simplify the brief or drop copy).\n\n**Collage triggers (all T2I models):** still avoid `flat lay`, `packshot`, `grid`, `collage`, `montage`, `contact sheet`, `split`, `before and after` — use `single frame`, `one camera angle` instead. Full table: [interactive-explainer-prompts.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/interactive-explainer-prompts.md).\n\n## SSoT axis derivation (sum-mod)\n\nAfter stating `ritual_seed` (random string), derive prompt choices — sum Unicode/ASCII char codes, mod list length:\n\n```text\nRATIOS = [\"1:1\", \"16:9\", \"9:16\", \"4:3\", \"3:4\", \"3:2\", \"2:3\"]\naspect_ratio  ← RATIOS[ sum(codes(ritual_seed)) % 7 ]\ncamera_tag    ← camera_tags[ sum(codes(ritual_seed[0:4])) % len(camera_tags) ]\nrender_tag    ← render_tags[ sum(codes(ritual_seed[4:8])) % len(render_tags) ]\n```\n\n`camera_tags` and `render_tags` — see [framing & camera](#framing--camera) and [render categories](#render-categories). State derived picks in the turn (*\"Aspect ratio: 16:9, camera: over-shoulder\"*).\n\n**User `api_seed`:** when the user supplies an integer for reproducibility, pass it as `input.seed` — separate from the ritual string.\n\n## Scenario axes (rotate across outputs)\n\n| Axis | Vary with | Applies to |\n|------|-----------|------------|\n| **Cast** | age, ethnicity, gender, archetype, **hairstyle**, **body type** (rotate — see [below](#body-type-spread)), disability aids (wheelchair, cane), visible age band twice in prompt | all person/content gens |\n| **Medium** | `render_category_tag` — rotate across [render categories](#render-categories) | `p-image`, avatar stills |\n| **Setting** | unique `setting_tag` — specific room/street/venue/era, not repeat adjacent rows | stills + video plates |\n| **Camera** | `camera_tag` — rotate across [framing ladder](#framing--camera); never default MC facing lens | stills, `video_prompt` |\n| **Lighting** | `lighting_tag` — golden hour · neon · overcast · practical | stills, video mood |\n| **Motion** | unique `video_prompt` per clip | `p-video`, `p-video-avatar`, animate |\n| **Voice** | natural `voice_script`; one `voice` preset per character | avatar, TTS-led video |\n| **Seed** | new ritual string per **independent** job; reuse only on same-brief slop retry | all generation skills |\n| **Aspect ratio** | different `aspect_ratio` per independent still in a batch — see [below](#aspect-ratio-multi-example-sets) | `p-image`, `p-image-edit` |\n| **Crowd density** | layered background population + activity cues — see [below](#crowded-scenes-p-image) | `p-image` plates with busy worlds |\n\nFull style/camera/lighting ladders: [visual-variety-bible.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/visual-variety-bible.md). Persona + try-on bar: [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md).\n\n## Render categories\n\nRotate **`render_category_tag`** (and log it) so diversity batches cover more than photoreal portraits or anime. Category families below mirror arena leaderboards — pick a **different tag per independent output**.\n\n**Random seed ritual still applies** to every generation in [step 1](#three-steps-every-job); categories describe *what* to vary, not *when* to pick `seed`.\n\n### Text-to-image — `p-image`\n\nSources: [Arena text-to-image](https://arena.ai/leaderboard/text-to-image) · [AA text-to-image](https://artificialanalysis.ai/image/leaderboard/text-to-image)\n\n**Unified `render_category_tag`** (Arena bucket = tag — pick one per still):\n\n`product_branding_commercial` · `3d_imaging_modeling` · `cartoon_anime_fantasy` · `photoreal_cinematic` · `art` · `portraits` · `nature_environment` · `animals_creature` · `text_rendering`\n\n| Tag | Typical prompt lane |\n|-----|---------------------|\n| `product_branding_commercial` | single product on seamless studio, person + product in named setting, showroom (not `flat lay` / `packshot` words) |\n| `3d_imaging_modeling` | CG film still, clay/stop-motion, rounded 3D forms |\n| `cartoon_anime_fantasy` | cel anime, fantasy character, crowded stylized world |\n| `photoreal_cinematic` | documentary crowd scenes, film-scale wide, urban march |\n| `art` | oil, watercolor, gouache, charcoal, flat vector |\n| `portraits` | single-subject editorial or documentary portrait (crowd optional behind) |\n| `nature_environment` | landscape-wide; subject small in frame |\n| `animals_creature` | named species + handler; crowded market/park when it fits |\n| `text_rendering` | **user-requested only** — otherwise no readable text |\n\nLog `render_category_tag` in manifest. Combine with [crowded scenes](#crowded-scenes-p-image), [body type](#body-type-spread), and [scene spice](#scene-spice-when-it-fits) when the brief allows.\n\n### Image edit — `p-image-edit`\n\nSources: [Arena image edit](https://arena.ai/leaderboard/image-edit) · [AA image editing](https://artificialanalysis.ai/image/leaderboard/editing)\n\nArena modalities: `single_image_edit` · `multi_image_edit`\n\nEdit diversity tags: `background_swap` · `relight` · `wardrobe_on_plate` · `pose_or_angle_delta` · `multi_ref_composite` · `region_inpaint`\n\nVary **instruction** and **what changes** while identity URL stays fixed on character arcs.\n\n### Text-to-video — `p-video`\n\nSources: [Arena text-to-video](https://arena.ai/leaderboard/text-to-video) · [AA text-to-video](https://artificialanalysis.ai/video/leaderboard/text-to-video)\n\nMotion/scene tags: `character_performance` · `landscape_broll` · `urban_street` · `product_demo` · `abstract_mood` · `crowd_scene` · `dialogue_beat`\n\nRotate `video_prompt` grammar, start plate world, and `camera_tag` per clip.\n\n### Image-to-video — `p-video` (+ plate upload)\n\nSources: [Arena image-to-video](https://arena.ai/leaderboard/image-to-video) · [AA image-to-video](https://artificialanalysis.ai/video/leaderboard/image-to-video)\n\nPlate-driven tags: `animate_hero_still` · `camera_move_on_plate` · `environmental_parallax` · `avatar_lip_sync` · `hands_or_prop_motion`\n\nMatch motion to what the **still** already shows — do not contradict the plate.\n\n### Video edit — `p-video-replace` (and edit-style video)\n\nSource: [Arena video edit](https://arena.ai/leaderboard/video-edit)\n\nEdit tags: `face_recast` · `wardrobe_swap` · `accessory_swap` · `background_replace` · `object_in_hand_swap` · `style_transfer_on_subject`\n\nSame-gender / identity rules for talking-head beats still apply — see [visual-variety-bible.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/visual-variety-bible.md).\n\n## Crowded scenes (`p-image`)\n\nWhen the brief asks for **busy**, **crowded**, or **lively** worlds — not a lone subject on a blank wall — stack density in the prompt:\n\n1. **Three depth layers** — sharp foreground subject · readable midground faces/hands/props · landmark bokeh (stage, temple, billboards, ferris wheel).\n2. **Named population count** — `hundreds of pedestrians`, `dozens of faces in midground`, `20+ tiny clay figures` (stylized sets need explicit counts; models under-deliver on vague \"busy\").\n3. **Activity verbs** — raised hands, umbrellas open, food steam, confetti, market haggling, commuters pressed shoulder-to-shoulder.\n4. **Shallow DOF + single subject** — `single subject one frame` keeps one identity readable while the crowd stays behind them.\n5. **Age & angle lock** — repeat age band twice (`woman in her late 50s, visibly fifty`) and use [framing & camera](#framing--camera) — models drift younger, center-frame, and front-facing without it.\n\n| Crowd family | Density cues |\n|--------------|--------------|\n| **Urban rush** | crosswalk stripes, wet reflections, umbrellas, billboard bokeh |\n| **Festival / parade** | confetti, raised hands, costume layers, smoke haze |\n| **Market / bazaar** | overflowing stalls, hanging goods, steam, price tags as color blobs |\n| **Transit crush** | strap hangers, door windows, blurred faces pressed together |\n| **Stylized miniature** | counted clay/figurine shoppers (`20+`), cramped aisle, stacked crates |\n| **Institutional / ER** | framed oil portraits on beige walls, triage number board, wall sanitizer, vending machine, scuffed linoleum, TV blur, mixed-age seated patients |\n| **Urban march / protest** | named city, local landmarks, multiracial crowd cues separate from hero — see [location-matched crowds](#location-matched-crowds) |\n| **Group fitness class** | class name + duration, mixed-gender riders, realistic warm studio light — see [group classes](#group-classes--courses) |\n\n**Anti-pattern:** one blurred smear behind a portrait — name **what** the crowd is doing and **where** layers sit. **Institutional** scenes (ER, airport, classroom) need `benches full`, `standing room only`, or `shoulder-to-shoulder` — otherwise models default to a quiet hallway. Name **set dressing** too: framed portraits on walls, triage number board, vending machine glow, scuffed linoleum — generic mint corridors read AI-empty.\n\n## Body type spread\n\nModels default to one “average fitness” body. In diversity batches, **name build on the hero and vary background bodies**:\n\n| Build tag | Prompt cue |\n|-----------|------------|\n| **Plus-size / curvy** | `plus-size`, `curvy build`, `full-figured` |\n| **Athletic / muscular** | `broad shoulders`, `muscular arms`, `athletic build` |\n| **Petite / slim** | `petite frame`, `slim build`, `narrow shoulders` |\n| **Tall / lanky** | `tall and lanky`, `6-foot frame`, `long limbs` |\n| **Stocky / heavyset** | `stocky build`, `heavyset`, `barrel chest` |\n| **Lean wiry** | `lean wiry frame`, `weathered thin face` |\n\n**Rule:** rotate build across independent panels in a session — not every hero “athletic build”. Background crowd should mix ages **and** silhouettes (`elderly thin woman`, `heavyset man`, `pregnant woman seated`, `toddler on lap`).\n\n## Location-matched crowds\n\nWhen the prompt names a **real city or country**, background faces must match that place’s **demographic mix** — not clone the hero’s ethnicity.\n\n| Wrong | Right |\n|-------|--------|\n| South Asian hero + only South Asian protesters in “New York” | Hero is one identity; crowd explicitly `multiracial NYC march — Black, Latino, white, East Asian protesters` |\n| “Dense city march” with no geography | Name city + 3–4 crowd ethnicity cues + local landmarks (yellow cabs, art deco towers, steam vent) |\n| Festival in Lagos with only Nordic faces | Match crowd to `setting_tag` region |\n\n**Prompt pattern:** lock hero cast in sentence 1; sentence 2 lists **four+ distinct background silhouettes** unrelated to hero ethnicity; sentence 3 names **local landmarks** so the plate cannot read as generic stock.\n\n**Applies to:** protests, airports, transit, street markets, sports crowds — any scene where “crowded” implies a real place.\n\n## Group classes & courses\n\nWhen the scene is a **class, workshop, or team activity**, name the **course type** and **who else is in the room** — models default to monochrome crowds (all men, all one age).\n\n| Specify | Example cues |\n|---------|----------------|\n| **Class type** | `45-minute evening spin class`, `beginner yoga flow`, `HIIT bootcamp circuit` |\n| **Room realism** | warm overhead track lights, mirror wall, rubber floor, water bottles, towels — **not** magenta-cyan neon strips unless brief is explicitly nightclub |\n| **Gender mix** | hero is one person; crowd `mixed-gender class — women with ponytails, men with beards, nonbinary cyclist` |\n| **Body + age mix** | plus-size rider, petite woman, athletic man, woman in her 50s — same as [body type spread](#body-type-spread) |\n\n**Lighting rule for fitness:** real boutique studios are **dim warm overhead** or **single spotlight on instructor** — avoid `split gel`, `neon LED strips`, `magenta-cyan` on photoreal gym plates; those read AI-fake.\n\n**Prompt pattern:** `Documentary fitness portrait` + class name + instructor on bike at front + `20+ mixed-gender cyclists` with 3–4 named background silhouettes + realistic room props.\n\n## Framing & camera\n\nModels default to **centered subject, eyes at camera**. In diversity batches, **rotate `camera_tag` and frame placement** every row — log both in manifest.\n\n**Gaze rule:** `glance off-lens`, `profile`, `back to camera`, `looking down at [prop]`, or `watching the crowd` — **not** `facing camera` or `looking at viewer` unless the user asked for a direct-address avatar plate.\n\n**Placement rule:** name where the subject sits in frame — `left third`, `right third`, `lower right corner`, `edge of frame`, `small in environmental wide` — **not** centered mugshot every time.\n\n| `camera_tag` | Prompt cue |\n|--------------|------------|\n| **Overhead / bird's eye** | `overhead aerial view`, `top-down`, `drone shot looking straight down` |\n| **High corner** | `high angle from corner`, `surveillance-style downward angle` |\n| **Worm's eye** | `ground-level worm's eye`, `camera on pavement` |\n| **Crane-down** | `slight high angle crane-down` |\n| **Over-shoulder** | `over-shoulder from behind`, `seen past someone's shoulder` |\n| **Profile / side** | `profile side angle`, `walking across frame` |\n| **From behind** | `back to camera`, `three-quarter from behind` |\n| **Dutch tilt** | `dutch tilt` — tension scenes only |\n| **Through crowd** | `subject visible through gap in crowd`, `foreground heads out of focus` |\n\n**Batch rule:** no two adjacent stills share the same `camera_tag` **and** placement corner (e.g. don't do `left third` twice in a row).\n\nAvatar / lip-sync exception: face must stay readable and mouth visible — use `slight angle from the side` or `three-quarter`, still **off-center** and **off-lens gaze** when not delivering VO to camera.\n\n## Scene spice (when it fits)\n\nDefault plates are person + crowd + place. Add **one or two specific attributes** when the setting naturally supports them — not random clutter on every row.\n\n| Spice type | When to add | Example |\n|------------|-------------|---------|\n| **Animals** | setting implies them | dog park → `golden retriever on leash`; harbor → `seagulls overhead`; rooftop → `pigeons on water tower`; parade → `police horse midground` |\n| **Held / worn props** | role or weather | `red umbrella tucked under arm`, `wire beekeeper smoker`, `chipped ceramic mug`, `sample strawberry basket` |\n| **Micro-detail** | one thumb-stopping oddity | `muddy paw prints on pavement`, `honey jar on crate`, `green parade beads on fence` |\n\nCamera and placement live in [framing & camera](#framing--camera) — not optional spice.\n\n**Rule:** pick **at most two** spice items per prompt. They must answer “what would a photographer notice here?” — not a checklist dump.\n\n**Skip spice when:** product hero, avatar MC talking head, try-on full-body (garment is the focus), or minimal studio brief.\n\n## Photoreal anti-slop (neon / stylized briefs)\n\nStylized settings still need **documentary skin discipline** or outputs go waxy:\n\n- Lead with `documentary portrait, natural skin pores, not CGI, not illustration` even for neon/cyberpunk worlds.\n- Prefer **worn real materials** — matte leather, faded denim, scratched CRT bezels, sticky carpet — over `holographic puffer`, `chrome armor`, `HUD`.\n- Name **gritty location cues** — basement arcade, wet alley, scuffed linoleum — not abstract `neon corridor`.\n- Background crowd faces need **imperfect texture**; blur is fine, plastic skin in midground is not.\n\n## Aspect ratio (multi-example sets)\n\nWhen generating **two or more** stills in one session (playground grid, demo batch, mood board), give each independent output a **different** `aspect_ratio` unless the user locked a format.\n\n**Allowed `p-image` values:** `1:1` · `16:9` · `9:16` · `4:3` · `3:4` · `3:2` · `2:3`\n\n**How to pick:** after the [random seed ritual](./random-seed-ritual.md), use [sum-mod](#ssot-axis-derivation-sum-mod) on `ritual_seed` — state it in the turn (*\"Aspect ratio: 16:9\"*). Do **not** default every example to `9:16` or `1:1`.\n\n| Ratio | Typical use |\n|-------|-------------|\n| `9:16` | vertical UGC, full-body fashion, avatar talking head |\n| `16:9` | environmental wide, cinematic landscape plate |\n| `3:4` | editorial portrait, try-on full-body |\n| `4:3` | classic portrait, product + person |\n| `1:1` | packshot grid, social tile |\n| `3:2` · `2:3` | magazine / poster crops |\n\nMatch prompt framing to ratio (e.g. `16:9 horizontal wide shot`, `9:16 vertical full body`). **`p-image-try-on`** inherits plate size when `preserve_input_size: true` — diversify person plates first.\n\n**Same character arc:** one ratio for the whole chain unless the user asks for reframes.\n\n## By model (minimum diversity)\n\n| Model | Besides ritual seed, always vary |\n|-------|-----------------------------------|\n| **`p-image`** | cast/creature + objects + action + setting + camera + **`render_category_tag`** + **aspect_ratio**; [explicit structure](#explicit-prompt-structure-required); [text hygiene](#text--typography-by-model) (no upsampling) |\n| **`p-image-edit`** | edit tag + setting/angle delta; same identity URL |\n| **`p-image-try-on`** | person plate world + garment complexity; preserve scene |\n| **`p-image-upscale`** | N/A on prompt — diversify **source** stills |\n| **`p-video`** | motion/scene tag + `video_prompt`; differ start plates per scene |\n| **`p-video-avatar`** | `video_prompt` + still world per scene; lock voice per character |\n| **`p-video-animate`** | persona still style/setting per slider ref |\n| **`p-video-replace`** | video-edit tag + full cast spread on showcase reels |\n\n## When **not** to maximize diversity\n\n- **Same character arc** — lock hero plate URL, one `voice`, cast descriptor; vary only setting/angle/motion per scene.\n- **User asked for continuity** — match their cast and approved plates.\n- **Draft → final** — same prompt; change only `draft: false`. Use `api_seed` only if user locked API reproducibility.\n\n## Anti-patterns\n\n| Wrong | Right |\n|-------|--------|\n| Copy doc example ritual strings | [Random seed ritual](./random-seed-ritual.md) — fresh string each time |\n| Pass ritual string as API `seed` | Ritual is SSoT planning only; `api_seed` when user requests |\n| White wall + MC CU on every demo | Rotate setting + camera + cast |\n| One `video_prompt` for whole reel | Unique motion per scene row |\n| New ritual string mid avatar chain on same brief | Reuse `ritual_seed` until recast or new independent output |\n| Same aspect ratio on every playground example | Rotate `1:1` · `16:9` · `9:16` · `4:3` · `3:4` · `3:2` · `2:3` per [aspect ratio rules](#aspect-ratio-multi-example-sets) |\n| Every hero same athletic body | Rotate [body type spread](#body-type-spread) |\n| Generic hospital hallway | Named ER set dressing + mixed body types in crowd |\n| `holographic` / `chrome` on photoreal cyber scenes | Worn leather, scratched cabinets, documentary skin cues |\n| Monoculture crowd in a named global city | [Location-matched crowds](#location-matched-crowds) — hero ≠ background ethnicity |\n| Magenta-cyan neon on photoreal gym | Warm overhead studio light, mirror wall, real spin bikes |\n| All-male or all-female group class | [Group classes](#group-classes--courses) — mixed-gender background cues |\n| Centered subject every frame | [Framing & camera](#framing--camera) — rotate `camera_tag` + placement |\n| Subject facing camera / at viewer | Off-lens gaze, profile, from behind, or watching crowd |\n| Random animals with no setting reason | Animals only when place implies them |\n| Every stylized panel is anime | Rotate [render categories](#render-categories) — use `cartoon_anime_fantasy` at most once per batch |\n| Vague `cool portrait, neon vibes` | [Explicit structure](#explicit-prompt-structure-required) — named subject, action, objects, setting |\n| `no text` / `without signage` in prompt | Negation invokes text — use [text rules by model](#text--typography-by-model) |\n| Dense typography on **`p-image`** | Drop copy or simplify the brief — `p-image` has no prompt upsampling |\n\n## Related\n\n- [generation-quality-checklists.md](./generation-quality-checklists.md) — core + model checklists\n- [staged-generation-gate.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/staged-generation-gate.md) — approval phases\n\nFile v1.0.6:references/generation-quality-checklists.md\n\n# Generation quality checklist hub\n\nUse this as the shared quality gate across models and workflows.\nRun the **Core checklist** for every generation job, then run the model-specific checklist.\n\n## Who applies these checklists?\n\n**The coding agent** — by **opening the real output files** (images, video, or audio) and reviewing them with vision. These checklists are **not** automated test scripts. There is no separate scoring service: the agent reads each item and judges pass or fail from what it sees and hears.\n\nTypical flow:\n\n1. **Generate or download** the asset to a local path (`stills/`, `clips/`, etc.).\n2. **Inspect the file** — view the image, watch the video clip, or listen to narration when the checklist covers audio.\n3. Run the **Core checklist** (below), then the **model-specific checklist** for that job.\n4. **If something fails** — note which items failed, adjust prompt / settings / seed, and regenerate **only that asset** (do not advance to expensive video steps on a bad still).\n5. **If it passes** — show the user the file paths (and previews when helpful). In workflows, still follow [staged-generation-gate.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/staged-generation-gate.md): agent checklist review happens **before** you ask the user to approve stills or clips.\n\nThe user's **approve plan / approve stills / approve clips** gates are separate. Agent checklists catch obvious problems early so the user is not asked to sign off on broken outputs.\n\nMaintenance rule: keep tool/workflow mapping only in this file to avoid link drift.\n\n## Match map (tool -> checklist -> workflows)\n\n| Tool/model | Checklist | Common workflows |\n|------------|-----------|---------------|\n| `p-image` | [`p-image-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-quality-checklist.md) · persona bar: [`realistic-persona-showcase.md`](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md) | [`image-to-video`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/image-to-video/skills/image-to-video/SKILL.md), [`narrated-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/narrated-multi-scene/skills/narrated-multi-scene/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md) |\n| `p-image-edit` | [`p-image-edit-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-edit-quality-checklist.md) | [`avatar-single-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-single-scene/skills/avatar-single-scene/SKILL.md), [`avatar-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-multi-scene/skills/avatar-multi-scene/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md) |\n| `p-image-upscale` | [`p-image-upscale-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-upscale-quality-checklist.md) | [`image-to-video`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/image-to-video/skills/image-to-video/SKILL.md), [`narrated-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/narrated-multi-scene/skills/narrated-multi-scene/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md), [`generate_upscale_comparison.py`](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/_shared/scripts/generate_upscale_comparison.py) |\n| `p-image-try-on` | [`p-image-try-on-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-try-on-quality-checklist.md) | [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md), [`p-image-try-on`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-image-try-on/skills/p-image-try-on/SKILL.md), [`realistic-persona-showcase.md`](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md) |\n| `p-video` | [`p-video-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-quality-checklist.md) | [`image-to-video`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/image-to-video/skills/image-to-video/SKILL.md), [`narrated-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/narrated-multi-scene/skills/narrated-multi-scene/SKILL.md), [`interactive-explainer`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/interactive-explainer/skills/interactive-explainer/SKILL.md), [`visual-transition-reel`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/visual-transition-reel/skills/visual-transition-reel/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md) |\n| `p-video-avatar` | [`p-video-avatar-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-avatar-quality-checklist.md) · persona bar: [`realistic-persona-showcase.md`](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md) | [`avatar-single-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-single-scene/skills/avatar-single-scene/SKILL.md), [`avatar-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-multi-scene/skills/avatar-multi-scene/SKILL.md), [`interactive-explainer`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/interactive-explainer/skills/interactive-explainer/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md) |\n| `p-video-animate` | [`p-video-animate-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-animate-quality-checklist.md) | [`avatar-multi-scene`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/avatar-multi-scene/skills/avatar-multi-scene/SKILL.md), [`WORKFLOW-RECIPES`](https://github.com/PrunaAI/pruna-skills/tree/main/docs/WORKFLOW-RECIPES.md) |\n| `p-video-replace` | [`p-video-replace-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-replace-quality-checklist.md) | [`p-video-replace`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/p-video-replace/skills/p-video-replace/SKILL.md), [`generate_video_comparison.py`](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/_shared/scripts/generate_video_comparison.py) |\n| `music-2.5` + music video assembly | [`music-video-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/music-video-quality-checklist.md) | [`music-video`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/music-video/skills/music-video/SKILL.md), [`music-2.5`](https://github.com/PrunaAI/pruna-skills/tree/main/plugins/music-2.5/skills/music-2.5/SKILL.md) |\n\n## Core checklist (all models)\n\n- **[Generation diversity](./generation-diversity.md)** — ritual seed + rotate scenario axes on **every** model (image, video, try-on, avatar, …).\n- **[Random seed ritual](./random-seed-ritual.md) (SSoT)** — generate and state a ritual string **before** every generation; derive prompt axes via sum-mod; never copy example strings from docs.\n- Goal and acceptance criteria are explicit (what \"good\" looks like is written down).\n- Input assets are valid and licensed (URL/file reachable, rights cleared).\n- Prompt and settings match the intended output format (`aspect_ratio`, duration, resolution, style lock). **Video default:** `720p`, `24` fps unless the brief asks for final `1080p` / `48`.\n- Output contains no accidental watermarks, UI overlays, or stray text unless requested.\n- Brand, legal, and safety constraints are satisfied before handoff.\n- Manifest/log captures model, input fields, prediction id, output URL, and **`ritual_seed`** for traceability.\n\n## Model-specific checklists\n\n- [`p-image-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-quality-checklist.md)\n- [`p-image-edit-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-edit-quality-checklist.md)\n- [`p-image-upscale-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-upscale-quality-checklist.md)\n- [`p-image-try-on-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/image/p-image-try-on-quality-checklist.md)\n- [`p-video-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-quality-checklist.md)\n- [`p-video-avatar-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-avatar-quality-checklist.md)\n- [`p-video-animate-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-animate-quality-checklist.md)\n- [`p-video-replace-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/video/p-video-replace-quality-checklist.md)\n- [`music-video-quality-checklist.md`](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/music-video-quality-checklist.md)\n\n## Visual variety (launch reels)\n\nBefore **any** generation, run [generation-diversity.md](./generation-diversity.md). Launch reels: also [visual-variety-bible.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/visual-variety-bible.md) **Variety checklist**. Persona/playground bar: [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md).\n\nFor phased human review before expensive video jobs, see [staged-generation-gate.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/staged-generation-gate.md) and the per-skill index [workflow-feedback-gates.md](https://github.com/PrunaAI/pruna-skills/tree/main/references/policies/workflow-feedback-gates.md).\n\n## Workflow note\n\nFor multi-scene projects, run these checks per scene and add a final continuity pass\n(style, character identity, voice, and pacing consistency across scenes).\n\n**Narrated cinematic B-roll:** validate [scene anchor triple](https://github.com/PrunaAI/pruna-skills/tree/main/video/scene-anchor-triple.md) inputs before `p-video` — start still, end still, uploaded narration URL per row.\n\nFile v1.0.6:references/p-image-quality-checklist.md\n\n# p-image quality checklist\n\nAfter each `p-image` output is saved, **open the file and review it visually** against this checklist (agent vision review — see [generation-quality-checklists.md](https://github.com/PrunaAI/pruna-skills/tree/main/policies/generation-quality-checklists.md#who-applies-these-checklists)).\n\n## Applies to\n\nSee the canonical mapping in [`generation-quality-checklists.md`](https://github.com/PrunaAI/pruna-skills/tree/main/policies/generation-quality-checklists.md).\n\n## Composition and prompt fidelity\n\n- Main subject and action match the prompt intent.\n- Framing and `aspect_ratio` fit destination (`9:16`, `16:9`, etc.).\n- Style bible is present and respected (no unrequested style drift).\n\n## Persona plates (avatar / try-on / showcase)\n\nWhen the output feeds **`p-video-avatar`**, **`p-image-try-on`**, or a public example set:\n\n- **Style tagged** — matches planned `visual_style_tag` / `render_medium_tag` (photoreal, cel anime, clay, etc.).\n- **Photoreal intent** (when photoreal) — natural skin texture; not waxy CGI unless stylized brief.\n- **Cast specificity** — matches planned age, ethnicity, archetype — not generic “model”.\n- **Dynamic world** — unique `setting_tag`; named lighting; **distinct `camera_tag`**; **distinct `aspect_ratio`** in multi-example batches — not default MC facing camera every row.\n- **Avatar-ready** (when lip-sync next) — face large; mouth clearly visible; hands not covering mouth.\n- **Try-on-ready** (when dressing next) — body regions for garment types visible (full-body, feet, head as needed).\n- **`seed`** recorded when identity continues downstream.\n\nScenario matrix and style ladders: [realistic-persona-showcase.md](https://github.com/PrunaAI/pruna-skills/tree/main/shared/realistic-persona-showcase.md).\n\n## Visual integrity\n\n- No major anatomy defects (extra fingers, warped limbs, broken symmetry where it matters).\n- No obvious rendering artifacts (mush textures, duplicated objects, clipped elements).\n- Background supports the scene and does not distract from the subject.\n\n## Cleanliness and delivery\n\n- No accidental logos, watermarks, UI elements, or stray text unless requested.\n- Image is acceptable as-is or marked for `p-image-edit` / `p-image-upscale` next.\n\nFile v1.0.6:references/pruna-api.md\n\n# Pruna P-API (shared reference)\n\nOfficial docs: [Developer Portal](https://docs.api.pruna.ai/), [Quickstart](https://docs.api.pruna.ai/guides/quickstart), [Models](https://docs.api.pruna.ai/guides/models).\n\n**Before first upload or paid call:** [agent-safety.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/agent-safety/SKILL.md) — privacy, credentials, local disk, locale.\n\n## Authentication\n\nSend your API key in the **`apikey`** header on every request (not `Authorization: Bearer`).\n\n```bash\n-H \"apikey: ${PRUNA_API_KEY}\"\n```\n\nUse the same header on delivery URLs when downloading bytes.\n\n## Base URL\n\n- Predictions: `https://api.pruna.ai/v1/predictions`\n- File upload: `https://api.pruna.ai/v1/files` (multipart form field `content=@file`)\n- Status: `https://api.pruna.ai/v1/predictions/status/{id}`\n- Delivery: use `generation_url` from a succeeded status (may be relative; prefix with `https://api.pruna.ai` if needed)\n\n## Request shape\n\nAll generative calls use:\n\n- `POST /v1/predictions`\n- Headers: `Content-Type: application/json`, `apikey`, **`Model: <model-id>`** (for example `p-image`, `p-image-edit`, `p-image-try-on`, `p-video`, `p-video-avatar`, `p-video-animate`, `p-video-replace`, `p-image-upscale`)\n- JSON body: `{ \"input\": { ... } }` where `input` fields match the model page (see each skill).\n\n## Sync vs async\n\n| Mode | Header | When to use |\n|------|--------|--------------|\n| Synchronous | `Try-Sync: true` | Fast jobs (many images, simple edits). Completes within ~60s or may time out. |\n| Asynchronous | omit `Try-Sync` | Video, long edits, production reliability. Poll `get_url` / status until `succeeded` or `failed`. |\n\nOfficial guidance: prefer **async for video**; sync is acceptable for quick **p-image** / **p-image-edit** / **p-image-upscale** / **p-image-try-on** when latency is low.\n\n## Parallel async (multi-scene / batch)\n\nWhen several predictions **do not depend on each other's outputs**, create them **in parallel** (async, no `Try-Sync`), then **poll all** `get_url` endpoints until every job finishes. Use **phased** execution when later steps need URLs from earlier steps (hero → scene edits → avatars).\n\nFull patterns, phase diagrams, subagent splits, and script shapes: [parallel-execution.md](https://github.com/PrunaAI/pruna-skills/tree/main/policies/parallel-execution.md).\n\n## Scene anchor triple (multi-scene `p-video`)\n\nNarrated story films pass three uploads per scene — **`image`**, **`last_frame_image`**, **`audio`** — in one prediction. Omit `duration` when `audio` is set.\n\nFull spec: [scene-anchor-triple.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/scene-anchor-triple/SKILL.md).\n\n## File uploads\n\nLocal files leave the machine and are processed at `https://api.pruna.ai/` — see [agent-safety.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/agent-safety/SKILL.md).\n\n1. `POST /v1/files` with `-F \"content=@/path/to/file.jpg\"` and `apikey` header.\n2. Use `urls.get` from the response (or construct `https://api.pruna.ai/v1/files/{id}`) as the **`image`**, **`last_frame_image`**, **`images[]`**, **`person_image`**, **`garment_images[]`**, **`audio`**, etc. value in `input`.\n\nUploaded files expire (see upload response `expires_at`).\n\n## File upload (curl)\n\n```bash\ncurl -X POST \"https://api.pruna.ai/v1/files\" \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -F \"content=@/path/to/local/file.jpg\"\n```\n\nUse `urls.get` from the JSON response in prediction `input` fields.\n\n## Poll async job {#poll}\n\nAfter an async `POST /v1/predictions` (no `Try-Sync`), poll until `status` is `succeeded` or `failed`:\n\n```bash\ncurl -s -H \"apikey: ${PRUNA_API_KEY}\" \\\n  \"https://api.pruna.ai/v1/predictions/status/PREDICTION_ID\"\n```\n\nUse the `get_url` from the create response. Repeat every few seconds until done.\n\n## Download output {#download}\n\n`-o` writes (or overwrites) a local file — confirm the path with the user ([agent-safety.md](https://github.com/PrunaAI/pruna-skills/tree/main/workflows/agent-safety/SKILL.md)).\n\n```bash\ncurl -L -H \"apikey: ${PRUNA_API_KEY}\" \\\n  \"GENERATION_URL_FROM_STATUS\" \\\n  -o output.bin\n```\n\nIf `generation_url` is relative, prefix with `https://api.pruna.ai`.\n\n## Typical success response\n\n- **Sync:** `{ \"status\": \"succeeded\", \"generation_url\": \"...\" }`\n- **Async (create):** `{ \"id\": \"...\", \"get_url\": \"https://api.pruna.ai/v1/predictions/status/...\" }`\n- **Async (poll):** eventually `{ \"status\": \"succeeded\", \"generation_url\": \"...\" }`\n\nDownload binary output with `GET` to `generation_url` and the same `apikey` header.\n\n## Environment variable\n\nSkills in this repo assume **`PRUNA_API_KEY`** is set in the shell when running `curl` examples.\n\n**Missing key:** agents must stop and point the user to [api-credentials.md](./api-credentials.md) — sign up at [dashboard.pruna.ai](https://dashboard.pruna.ai/), create an API key, then `export PRUNA_API_KEY=...`.\n\n**Agent discipline:** [generation-diversity.md](https://github.com/PrunaAI/pruna-skills/tree/main/policies/generation-diversity.md) before every `POST /v1/predictions`.\n\nFile v1.0.6:references/random-seed-ritual.md\n\n# Random seed ritual (SSoT — mandatory before every generation)\n\nThe random seed ritual is a lean [String Seed of Thought](https://pub.sakana.ai/ssot/) (DAG) protocol. **Every** Pruna generation — every prompt, every `POST /v1/predictions`, every scene row — starts here.\n\nThis prevents copy-pasting example strings (`k7Qm2xP9`, `482901`, …) and reduces accidental duplicate outputs across sessions.\n\n## The ritual (do this first)\n\nBefore writing prompts, curl, or runner JSON:\n\n1. **Generate a random string** in-agent (8–16 chars, mixed case + digits).\n2. **Log it** as `ritual_seed` in the manifest / internal plan. Do **not** require a user-visible *\"Ritual seed: …\"* line unless the user asks for transparency.\n3. **Derive prompt choices** from the string — sum char codes, mod N — pick axes from [generation-diversity.md](./generation-diversity.md) (`aspect_ratio`, `camera_tag`, `render_category_tag`, …).\n4. **Write the prompt** using [explicit prompt structure](./generation-diversity.md#explicit-prompt-structure-required) and derived axes.\n5. **Record** axes chosen and prediction id in the manifest alongside `ritual_seed`.\n\n**Do not pass the ritual string to API `seed`.** API runs without `seed` unless the user explicitly requests reproducibility (`api_seed`).\n\n**Never** proceed to `POST /v1/predictions` without completing steps 1–2 (unless the user supplied an explicit `api_seed` — see below).\n\n## Reuse rules\n\n| Situation | Action |\n|-----------|--------|\n| **New hero / independent still / mood-board panel** | Fresh ritual string |\n| **Same-brief slop retry** | Reuse same `ritual_seed`; note `retry_ritual_seed` in manifest |\n| **Same character arc** | Lock **hero plate URL** + cast descriptor; reuse `ritual_seed` only on same-brief regen |\n| **User says \"lock seed\" / provides integer** | Pass **their** number as `api_seed` → `input.seed`; skip new ritual for that chain |\n\nCharacter continuity = approved plate URL + cast descriptor — **not** the ritual string on the API.\n\n## Anti-patterns\n\n| Wrong | Right |\n|-------|--------|\n| Copy example strings from SKILL.md | Fresh ritual string each independent generation |\n| Pass ritual string as API `seed` | Ritual is planning-only; `api_seed` only when user asks |\n| One ritual string for entire mood board | New ritual per independent **`p-image`** |\n| Skip ritual because API `seed` is optional | Ritual always; API omits `seed` by default |\n\n## Example (internal plan / optional user-visible)\n\nManifest: `\"ritual_seed\": \"k7Qm2xP9\"`. Derived: aspect_ratio 16:9, camera_tag fish-eye, render_category_tag cartoon_anime_fantasy.  \nPrompt: Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy.  \n…then curl / runner **without** `\"seed\"` in `input`.\n\n## Manifest snippet\n\n```json\n{\n  \"ritual_seed_policy\": \"ssot_dag_before_every_generation\",\n  \"ritual_seed\": \"k7Qm2xP9\",\n  \"seed_log\": [\n    { \"phase\": \"hero_p_image\", \"ritual_seed\": \"k7Qm2xP9\", \"creature_tag\": \"otter_dj\", \"setting_tag\": \"1970s_roller_rink\", \"prompt_hash\": \"…\" },\n    { \"phase\": \"scene_2_avatar\", \"ritual_seed\": \"k7Qm2xP9\", \"scene_id\": 2 }\n  ]\n}\n```\n\n## Where this applies\n\nAll Pruna generation skills and workflow runners — **every invocation**:\n\n- **`p-image`**, **`p-image-edit`**, **`p-image-try-on`**, **`p-image-\n\nArchive v1.0.2: 13 files, 36866 bytes\n\nFiles: README-INSTALL.md (682b), references/api-credentials.md (3138b), references/generation-diversity.md (25952b), references/generation-quality-checklists.md (10487b), references/p-image-quality-checklist.md (2210b), references/pruna-api.md (5049b), references/random-seed-ritual.md (4019b), references/realistic-persona-example-prompt.md (6714b), references/realistic-persona-showcase.md (22784b), skill-card.md (3464b), skill.manifest.json (340b), SKILL.md (6899b), _meta.json (126b)","readmeExcerpt":"Skill: p-image Owner: pruna-ai Summary: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. Tags: ai:1.0.14, generative:1.0.14, latest:1.0.14, pruna:1.0.14 Version history: v1.0.14 | 2026-09-29T15:33:09.072Z | auto - Version bump to 1.0.14 in SKILL.md (from 1.0.13). - Removed the file: skil","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{"},{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'"},{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'"},{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -H 'Try-Sync: true' \\\n  -d '{\"input\":{\"prompt\":\"Corgi cowboy lassoing a runaway taco truck through Monument Valley dust storm, pulp western poster energy, dynamic diagonal composition\",\"aspect_ratio\":\"16:9\"}}'"},{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{"},{"language":"bash","snippet":"curl -X POST 'https://api.pruna.ai/v1/predictions' \\\n  -H 'Content-Type: application/json' \\\n  -H \"apikey: ${PRUNA_API_KEY}\" \\\n  -H 'Model: p-image' \\\n  -d '{\n    \"input\": {\n      \"prompt\": \"Disco ball reflections on an otter DJ scratching vinyl at a packed 1970s roller rink, fish-eye lens, glitter confetti mid-air, funky energy\",\n      \"aspect_ratio\": \"9:16\"\n    }\n  }'"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: p-image\ndescription: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\nlicense: MIT\nmetadata:\n  version: \"1.0.14\"\n  package: pruna-skills\n  pruna_model: p-image\n---\n\n## Prerequisites\n\nInstall and load these skills before generating (skip if already in context via `@pruna`):\n\n| Skill | Description | Install |\n| --- | --- | --- |\n| `generation-diversity` | Use when writing any generative prompt — ritual seed, explicit structure, scenario axes, and quality gates before paid API calls. | `npx skills add PrunaAI/pruna-skills@generation-diversity -y` |\n| `image-prompting` | Use when crafting still-image prompts for any generative model — composition, identity sheets, edits, try-on, and photoreal personas. | `npx skills add PrunaAI/pruna-skills@image-prompting -y` |\n| `pruna-api` | Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety. | `npx skills add PrunaAI/pruna-skills@pruna-api -y` |\n\nOr install the full suite once: `npx skills add PrunaAI/pruna-skills@pruna -y`\n\nFollow each skill's **Before generating** / craft sections — do not restate guide content here.\n\n## Agent habit\n\n**Routing:** Use `` `p-image` `` for **simple, quick** photo generation from a short prompt. When photo generation needs **more control** (text in the image, structured JSON with hex/bbox, high-detail photoreal), use `` `p-image-ideogram` `` (defaults **`thinking: high`**, **`prompt_upsampling: true`**; **`low`** + **`prompt_upsampling: false`** + explicit prompt for a faster pass on the same model). For edits or video, use `` `p-image-edit` `` or `` `p-video-2` `` — not a new photo generation re-roll.\n\nIn the **first reply**, name `` `p-image` `` in backticks, confirm `PRUNA_API_KEY` is set (or stop with signup links from `pruna-api`), then ask for prompt / aspect ratio (open intake → **`generation-diversity`** clarification intake). When drafting the prompt, follow **Prompt craft (dynamic + faithful)** — do not paste skill examples.\n\n## Prompt craft (dynamic + faithful)\n\nEvery `input.prompt` must be **fresh and specific**, and must **keep the user's request**. Diversity never overrides the brief.\n\n| Do | Don't |\n| --- | --- |\n| Run the `generation-diversity` random seed ritual; state it; rotate ≥2 free axes (camera, lighting, setting texture, render category) | Copy curl examples from this skill (`otter DJ`, `corgi cowboy`, …) or reuse a prior session's prompt |\n| Lock user-required facts first (subject, product, brand cues, must-keep props, readable text if asked) | Swap the subject for a “cooler” scene that ignores the request |\n| Expand with concrete nouns, frozen action, materials, placement (`image-prompting` golden rules) | Vague mood-only strings (`cool product vibe, neon`) |\n| Show the drafted prompt + `aspect_ratio` before `POST` when the user has not locked wording |"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7cagwf7q3t0cxrgteb7xk0bh81j0eb\",\n  \"slug\": \"p-image\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1790695989072\n}"},{"path":"skill-card.md","content":"## Description:\n\nUse when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[pruna-ai](https://clawhub.ai/user/pruna-ai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate quick photos, mood-board images, and batches of visual variations from text prompts through Pruna's image API.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Optional companion-skill installation commands can fetch changing versions.\n\nMitigation: Review or pin companion skill versions before installation.\n\nRisk: Image prompts and generation parameters are sent to Pruna's API.\n\nMitigation: Avoid confidential prompts and use the API only when this data sharing is acceptable.\n\n## Reference(s):\n\n- [p-image on ClawHub](https://clawhub.ai/pruna-ai/skills/p-image)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Shell commands, Image links]\n\n**Output Format:** [Markdown with prompts, bash commands, and generated image links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Prompts and aspect ratios are confirmed before generation; image retrieval may require polling.]\n\n## Skill Version(s):\n\n1.0.14 (source: frontmatter, server release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"skill.manifest.json","content":"{\n  \"references\": []\n}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. Skill: p-image Owner: pruna-ai Summary: Use when someone explicitly wants the fastest, cheapest photo generation — mood boards, bulk panels, or quick iterations — not when controlled photoreal or in-image text is needed. 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