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Use when the user needs fashion content, model photography, or virtual try-on.\n\nTags: latest:0.1.0\n\nVersion history:\n\nv0.1.0 | 2026-02-09T02:20:32.069Z | auto\n\nInitial release of EachLabs Fashion AI.\n\n- Generate fashion model images, virtual try-on visuals, runway/catwalk videos, and campaign assets using EachLabs models.\n- Comprehensive model/table reference for image generation, editing, training, and video workflows.\n- Clear API prediction flow, with sample curl commands for fashion tasks.\n- Authentication via API key environment variable (`EACHLABS_API_KEY`).\n- Includes prompt tips and parameter references for best results.\n\nArchive index:\n\nArchive v0.1.0: 2 files, 2428 bytes\n\nFiles: SKILL.md (5798b), _meta.json (138b)\n\nFile v0.1.0:SKILL.md\n\n---\nname: eachlabs-fashion-ai\ndescription: Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. Use when the user needs fashion content, model photography, or virtual try-on.\nmetadata:\n  author: eachlabs\n  version: \"1.0\"\n---\n\n# EachLabs Fashion AI\n\nGenerate AI fashion model imagery, virtual try-on experiences, runway content, and campaign visuals using EachLabs models.\n\n## Authentication\n\n```\nHeader: X-API-Key: <your-api-key>\n```\n\nSet the `EACHLABS_API_KEY` environment variable. Get your key at [eachlabs.ai](https://eachlabs.ai).\n\n## Recommended Models\n\n### Image Generation & Editing\n\n| Task | Model | Slug |\n|------|-------|------|\n| Fashion model generation | GPT Image v1.5 | `gpt-image-v1-5-text-to-image` |\n| Virtual try-on (best) | Kolors Virtual Try-On | `kling-v1-5-kolors-virtual-try-on` |\n| Virtual try-on (alt) | IDM VTON | `idm-vton` |\n| Garment on model | Wan v2.6 Image-to-Image | `wan-v2-6-image-to-image` |\n| Model photoshoot | Product Photo to Modelshoot | `product-photo-to-modelshoot` |\n| Photoshoot styling | Nano Banana Pro Photoshoot | `nano-banana-pro-photoshoot` |\n| Face/look consistency | Omni Zero | `omni-zero` |\n| Character consistency | Ideogram Character | `ideogram-character` |\n| Photomaker | Photomaker | `photomaker` |\n| Photomaker Style | Photomaker Style | `photomaker-style` |\n| Avatar generation | Instant ID | `instant-id` |\n| Soul styling | Higgsfield AI Soul | `higgsfield-ai-soul` |\n| Become image | Become Image | `become-image` |\n\n### Training\n\n| Task | Model | Slug |\n|------|-------|------|\n| Brand style training | Z Image Trainer | `z-image-trainer` |\n| Portrait LoRA | Flux LoRA Portrait Trainer | `flux-lora-portrait-trainer` |\n\n### Video\n\n| Task | Model | Slug |\n|------|-------|------|\n| Runway video | Pixverse v5.6 Image-to-Video | `pixverse-v5-6-image-to-video` |\n| Catwalk animation | Bytedance Omnihuman v1.5 | `bytedance-omnihuman-v1-5` |\n| Motion reference | Kling v2.6 Pro Motion | `kling-v2-6-pro-motion-control` |\n\n## Prediction Flow\n\n1. **Check model** `GET https://api.eachlabs.ai/v1/model?slug=<slug>` — validates the model exists and returns the `request_schema` with exact input parameters. Always do this before creating a prediction to ensure correct inputs.\n2. **POST** `https://api.eachlabs.ai/v1/prediction` with model slug, version `\"0.0.1\"`, and input matching the schema\n3. **Poll** `GET https://api.eachlabs.ai/v1/prediction/{id}` until status is `\"success\"` or `\"failed\"`\n4. **Extract** output URL from response\n\n## Workflows\n\n### AI Fashion Model Generation\n\n```bash\ncurl -X POST https://api.eachlabs.ai/v1/prediction \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: $EACHLABS_API_KEY\" \\\n  -d '{\n    \"model\": \"gpt-image-v1-5-text-to-image\",\n    \"version\": \"0.0.1\",\n    \"input\": {\n      \"prompt\": \"Professional fashion model wearing a tailored navy blazer, editorial photography, studio lighting, full body shot, neutral background\",\n      \"image_size\": \"1024x1536\",\n      \"quality\": \"high\"\n    }\n  }'\n```\n\n### Virtual Try-On\n\nCombine a garment image with a model image:\n\n```bash\ncurl -X POST https://api.eachlabs.ai/v1/prediction \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: $EACHLABS_API_KEY\" \\\n  -d '{\n    \"model\": \"wan-v2-6-image-to-image\",\n    \"version\": \"0.0.1\",\n    \"input\": {\n      \"prompt\": \"The person in image 1 wearing the clothing from image 2, professional fashion photography, editorial style\",\n      \"image_urls\": [\"https://example.com/model.jpg\", \"https://example.com/garment.jpg\"],\n      \"image_size\": \"portrait_4_3\"\n    }\n  }'\n```\n\n### Runway / Catwalk Video\n\n```bash\ncurl -X POST https://api.eachlabs.ai/v1/prediction \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: $EACHLABS_API_KEY\" \\\n  -d '{\n    \"model\": \"pixverse-v5-6-image-to-video\",\n    \"version\": \"0.0.1\",\n    \"input\": {\n      \"image_url\": \"https://example.com/fashion-model.jpg\",\n      \"prompt\": \"Fashion model walking confidently on a runway, camera follows from front, professional fashion show lighting\",\n      \"duration\": \"5\",\n      \"resolution\": \"1080p\"\n    }\n  }'\n```\n\n### Catwalk with Motion Reference\n\nUse a real runway walk as motion reference:\n\n```bash\ncurl -X POST https://api.eachlabs.ai/v1/prediction \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: $EACHLABS_API_KEY\" \\\n  -d '{\n    \"model\": \"kling-v2-6-pro-motion-control\",\n    \"version\": \"0.0.1\",\n    \"input\": {\n      \"image_url\": \"https://example.com/fashion-model.jpg\",\n      \"video_url\": \"https://example.com/runway-walk-reference.mp4\",\n      \"character_orientation\": \"video\"\n    }\n  }'\n```\n\n### Brand Style Training\n\nTrain a LoRA on your brand's visual style for consistent campaign imagery:\n\n```bash\ncurl -X POST https://api.eachlabs.ai/v1/prediction \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: $EACHLABS_API_KEY\" \\\n  -d '{\n    \"model\": \"z-image-trainer\",\n    \"version\": \"0.0.1\",\n    \"input\": {\n      \"image_data_url\": \"https://example.com/brand-photos.zip\",\n      \"default_caption\": \"brand editorial fashion photography style\",\n      \"training_type\": \"style\",\n      \"steps\": 1500\n    }\n  }'\n```\n\n## Prompt Tips for Fashion\n\n- Specify pose: \"full body shot\", \"half body\", \"close-up on garment details\"\n- Include lighting: \"editorial studio lighting\", \"natural light\", \"dramatic side lighting\"\n- Mention style: \"editorial\", \"street style\", \"haute couture\", \"casual lookbook\"\n- For diversity: specify body types, skin tones, and ages in prompts\n- For consistency: use the same style keywords across a campaign series\n\n## Parameter Reference\n\nSee the [eachlabs-image-generation](../eachlabs-image-generation/references/MODELS.md) and [eachlabs-video-generation](../eachlabs-video-generation/references/MODELS.md) references for complete model parameters.\n\nFile v0.1.0:_meta.json\n\n{\n  \"ownerId\": \"kn7daknf647gdfdwzpyq5scnvn80tq7d\",\n  \"slug\": \"eachlabs-fashion-ai\",\n  \"version\": \"0.1.0\",\n  \"publishedAt\": 1770603632069\n}","readmeExcerpt":"Skill: Eachlabs Fashion Ai Owner: eftalyurtseven Summary: Generate fashion model imagery, virtual try-on, runway videos, and campaign visuals using EachLabs AI. 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Use when the user needs fashion content, model photography, or virtual try-on.\nmetadata:\n  author: eachlabs\n  version: \"1.0\"\n---\n\n# EachLabs Fashion AI\n\nGenerate AI fashion model imagery, virtual try-on experiences, runway content, and campaign visuals using EachLabs models.\n\n## Authentication\n\n```\nHeader: X-API-Key: <your-api-key>\n```\n\nSet the `EACHLABS_API_KEY` environment variable. Get your key at [eachlabs.ai](https://eachlabs.ai).\n\n## Recommended Models\n\n### Image Generation & Editing\n\n| Task | Model | Slug |\n|------|-------|------|\n| Fashion model generation | GPT Image v1.5 | `gpt-image-v1-5-text-to-image` |\n| Virtual try-on (best) | Kolors Virtual Try-On | `kling-v1-5-kolors-virtual-try-on` |\n| Virtual try-on (alt) | IDM VTON | `idm-vton` |\n| Garment on model | Wan v2.6 Image-to-Image | `wan-v2-6-image-to-image` |\n| Model photoshoot | Product Photo to Modelshoot | `product-photo-to-modelshoot` |\n| Photoshoot styling | Nano Banana Pro Photoshoot | `nano-banana-pro-photoshoot` |\n| Face/look consistency | Omni Zero | `omni-zero` |\n| Character consistency | Ideogram Character | `ideogram-character` |\n| Photomaker | Photomaker | `photomaker` |\n| Photomaker Style | Photomaker Style | `photomaker-style` |\n| Avatar generation | Instant ID | `instant-id` |\n| Soul styling | Higgsfield AI Soul | `higgsfield-ai-soul` |\n| Become image | Become Image | `become-image` |\n\n### Training\n\n| Task | Model | Slug |\n|------|-------|------|\n| Brand style training | Z Image Trainer | `z-image-trainer` |\n| Portrait LoRA | Flux LoRA Portrait Trainer | `flux-lora-portrait-trainer` |\n\n### Video\n\n| Task | Model | Slug |\n|------|-------|------|\n| Runway video | Pixverse v5.6 Image-to-Video | `pixverse-v5-6-image-to-video` |\n| Catwalk animation | Bytedance Omnihuman v1.5 | `bytedance-omnihuman-v1-5` |\n| Motion reference | Kling v2.6 Pro Motion | `kling-v2-6-pro-motion-control` |\n\n## Prediction Flow\n\n1. **Check model** `GET https://api.eachlabs.ai/v1/model?slug=<slug>` — validates the model exists and returns the `request_schema` with exact input parameters. 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