What makes Higgsfield Generate notable?

2.2K downloads. Trust evidence available

How should Higgsfield Generate be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Higgsfield Generate

Generate images and videos via Higgsfield AI through 30+ models including Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, GPT Image 2, plus... Skill: Higgsfield Generate Owner: higgsfield Summary: Generate images and videos via Higgsfield AI through 30+ models including Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, GPT Image 2, plus... Tags: latest:1.0.0 Version history: v1.0.0 | 2026-05-04T16:20:37.784Z | user - Initial release of higgsfield-generate for image and video generation via Higgsfield AI, supporting 30+ models. - Supports a w

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.0.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.0release · observed May 4, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17f8fwnpnszqskag8vjqhx1ts862976:higgsfield-generate

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-higgsfield-higgsfield-generate/snapshot"

Documentation

CLAWHUB

39,300 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
version: 0.3.0
name: higgsfield-generate
description: |
  Generate images and videos via Higgsfield AI through 30+ models including
  Nano Banana 2, Soul V2, Veo 3.1, Kling 3.0, Seedance 2.0, Flux 2, GPT Image 2,
  plus Marketing Studio for branded ad video/image with curated avatars and
  imported products.
  Use when: "generate an image", "make a picture", "create artwork",
  "make a video", "animate this photo", "image-to-video", "img2vid",
  "edit this image with AI", "stylize a photo", "remix this image",
  "produce a clip", "render a scene", "create an ad", "make a UGC video",
  "generate marketing video", "make a product demo", "create unboxing",
  "TV spot", "virtual try-on", "product showcase", "brand video",
  "presenter video for product", "import product from URL",
  "create avatar for ad".
  Supports text-to-image, image-to-image, image-to-video, reference-based
  generation, and Marketing Studio (avatars + products + ad modes).
  Auto-detects whether passed IDs are uploads or previous jobs.
  Chain with higgsfield-soul-id when the user wants their face in the output.
  NOT for: training Soul Character (use higgsfield-soul-id), professional product
  photoshoots with mode-specific prompt enhancement (use
  higgsfield-product-photoshoot), text-only / chat / TTS tasks.
argument-hint: "[prompt] [--model <name>] [--image <path-or-id>]"
allowed-tools: Bash
---

# Higgsfield Generate

Submit jobs to any Higgsfield model. Wraps the `higgsfield` CLI. Covers generic image/video gen and Marketing Studio (branded ads, avatars, products).

## Step 0 — Bootstrap

Before any other command, make sure the CLI is installed and authenticated:

1. If `higgsfield` is not on `$PATH`, install it:
   ```bash
   curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh
   ```
2. If `higgsfield account status` fails with `Session expired` / `Not authenticated`, ask the user to run `higgsfield auth login` (interactive, opens a browser) and wait for them to confirm before continuing.

Skip both checks if `higgsfield account status` already prints account info.

## UX Rules

1. Be concise. No raw IDs, no JSON dumps in chat. Print result URL when ready.
2. No internal jargon. Don't narrate "calling higgsfield cost", "polling job".
3. Detect the user's language from the first message and reply in it. Technical args (`--aspect_ratio 16:9`) stay English.
4. Don't batch-ask. Pick a sane default model and ask one thing at a time only if genuinely missing.
5. Don't pre-estimate cost. Just submit unless the user asks.
6. Pass `--wait` to `generate create` so the command blocks until done and prints the result URL itself. Avoid the two-step `create` → `wait` pattern.

## Workflow — generic generation

1. **Pick a model.** Practical defaults from production use:

   **Image:**
   - Brand product visual (Pinterest pin, lifestyle, hero banner, ad pack, virtual try-on) → use `higgsfield-product-photoshoot` instead. NOT this skill.
   - Branded

_meta.json

{
  "ownerId": "kn75nbcv2e6k6p0qdc2tkn0dvn862nys",
  "slug": "higgsfield-generate",
  "version": "1.0.0",
  "publishedAt": 1777911637784
}

references/marketing-avatars.md

# Avatars

## Preset vs Custom

| | Preset | Custom |
|---|---|---|
| Source | Curated by Higgsfield | User-uploaded |
| Cost | None for selection | Cost of upload |
| Diversity | Limited but professional | Unlimited |
| Use when | Generic ad, fast turnaround | Brand-specific face, founder, employee |

## Listing presets

```bash
higgsfield marketing-studio avatars list
higgsfield marketing-studio avatars list --json | jq '.[] | select(.gender=="female")'
```

Filter by `name`, `gender`, etc. on the JSON output.

## Creating a custom avatar

```bash
ID=$(higgsfield upload create founder.png)
URL=$(higgsfield upload create founder.png --json | jq -r .url)   # if you need cloudfront URL
higgsfield marketing-studio avatars create --name "Founder" --image $ID --image-url $URL
```

`--image-url` is the cloudfront URL from the upload. Required by the API.

## Passing to video

```bash
higgsfield generate create marketing_studio_video \
  --avatars '[{"id":"<avatar_id>","type":"preset"}]' \
  ... \
  --wait
```

`type` is `preset` for curated, `custom` for user-created.

references/marketing-modes.md

# Marketing Studio Modes

Canonical mode values for `marketing_studio_video` `--mode`. Mirrored from the MCP server (`fnf-mcp-server/src/provider/fnf-client/generation/marketing-studio-video.ts`). All slugs below are accepted by the API.

| `--mode` slug | Human-readable label | Best for |
|---|---|---|
| `ugc` | UGC | Default. Casual, organic-feel content from a presenter. |
| `ugc_how_to` | Tutorial | "Here's how to use this." Tutorial / explainer. |
| `ugc_unboxing` | Unboxing | "Just got this in the mail." Unboxing reveal. |
| `product_showcase` | Hyper Motion | Clean product highlight, polished. |
| `product_review` | Product Review | Presenter giving an opinion on the product. |
| `tv_spot` | TV Spot | Broadcast-style commercial. Higher production. |
| `wild_card` | Wild Card | Experimental, model picks the vibe. |
| `ugc_virtual_try_on` | UGC Virtual Try On | Person trying on clothing/accessories — UGC vibe. |
| `virtual_try_on` | Pro Virtual Try On | Same but more polished, model-driven. |

**Default when the user doesn't specify:** `ugc`.

## Picking flow

- "Looks like a real person filmed on phone" → `ugc` family (`ugc`, `ugc_unboxing`, `ugc_virtual_try_on`, `ugc_how_to`)
- "Polished broadcast commercial" → `tv_spot`
- "Show the product itself, less presenter" → `product_showcase`
- "Presenter giving an opinion" → `product_review`
- "Try clothing on someone" → `virtual_try_on` (polished) or `ugc_virtual_try_on` (organic feel)
- "Surprise me / something different" → `wild_card`

## Other parameters

For `marketing_studio_video`, the API accepts:

- `aspect_ratio`: `auto`, `21:9`, `16:9`, `4:3`, `1:1`, `3:4`, `9:16` (default `16:9`).
- `duration`: integer ≥ 4 seconds. No fixed cap; check `higgsfield model get marketing_studio_video` for the current upper bound.
- `resolution`: `480p` or `720p` (default `720p`).
- `generate_audio`: boolean (default `false`). Generates audio for the video.
- `avatars`: array of `{id, type}` where `type` is `preset` or `custom`. See `marketing-avatars.md`.
- `product_ids`: array of product UUIDs (from `higgsfield marketing-studio products fetch` or `create`). See `marketing-products.md`.
- `medias`: optional reference images with role `image`, `start_image`, or `end_image`.
- `feature: "click_to_ad"`: when generating from a single landing-page URL (Click-to-Ad flow).
- `product: { id?, url? }`: alternative single-product reference; the URL flow auto-fetches.

## URL-driven Click-to-Ad shortcut

For `marketing_studio_video` driven by a product URL (no manual product create / fetch), the MCP-side flow is:

1. Call `higgsfield marketing-studio products fetch --url <url> --wait` (or use `show_marketing_studio` widget action `fetch`).
2. Call `higgsfield generate create marketing_studio_video --url <same url>` — the backend looks up / reuses the entity and submits.

Repeated fetches for the same URL dedupe — the backend reuses any existing non-failed entity.

references/marketing-products.md

# Products

Two ways to register a product: URL fetch (auto-imports title, description, images) or manual (provide your own).

## URL fetch (default)

```bash
ID=$(higgsfield marketing-studio products fetch --url https://shop.example.com/sneakers --wait --json | jq -r .id)
```

`--wait` polls until `status` is `completed` or `failed`. Default timeout 90s.

If `failed`, check `fail_reason` — usually invalid URL or scrape blocked.

App Store URLs auto-route to `webproducts` (different endpoint). Use:

```bash
higgsfield marketing-studio webproducts fetch --url https://apps.apple.com/... --wait
```

## Manual

When the user has product photos and details:

```bash
A=$(higgsfield upload create shoe1.png)
B=$(higgsfield upload create shoe2.png)
higgsfield marketing-studio products create \
  --title "AeroRun Pro" \
  --description "Lightweight running shoe" \
  --image $A --image $B
```

Returns the product entity directly (no polling needed).

## Manual webproduct

For App Store / web pages without URL fetch:

```bash
higgsfield marketing-studio webproducts create \
  --url "https://example.com" \
  --title "MyApp" \
  --subtitle "Productivity for teams" \
  --description "..." \
  --favicon-url "https://example.com/favicon.png" \
  --desktop "https://cdn/screenshot1.png" \
  --mobile "https://cdn/mobile-screenshot.png"
```

## Listing

```bash
higgsfield marketing-studio products list
higgsfield marketing-studio webproducts list
```

Github ReposUpdated 2h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.