higgsfield-generate
SolidGenerate 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: train
Install
Quality Score: 86/100
Skill Content
Details
- Author
- OpenCoven
- Repository
- OpenCoven/coven
- Created
- 3 months ago
- Last Updated
- today
- Language
- Rust
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
ai-generated-media-pipeline
Turn AI-generated clips and stills into production web hero assets — generate via Higgsfield/Runway/Sora/Veo/Kling (video) and Nano Banana/Flux/Seedream (image), ideally through an MCP so the agent produces assets in-loop, then encode them web-ready (AV1/H.264, faststart, poster extraction, frame sequences) within a weight and licensing budget. Use when sourcing a hero video/background loop/scroll frame-sequence from AI tools, or preparing any generated media for the web. Feeds cinematic-hero-sections (which consumes the assets). Triggers on "Higgsfield", "Nano Banana", "AI hero video", "generate a background video", "Runway/Sora/Veo/Kling", "encode video for web", "ffmpeg hero", "loopable clip", "poster frame".
image-generation
Generate images through the Hyper MCP with the unified `images_generate` tool — text-to-image, image-to-image, and branded ad creatives — choosing the model (gpt-image-2, nano-banana, nano-banana-pro, seedream-4.5) per task. Use when the user asks to generate an image, create an ad creative, do an image-to-image edit, render text inside an image, or produce a print-quality poster.
video-generator
Execute production video generation from shot-specifier outputs through the Higgsfield Model Context Protocol (MCP). Use when prompts, storyboard frames, media roles, model routing, Higgsfield MCP uploads, generate_video calls, status polling, retakes, resume behaviour, or final assembly order are needed. Bridges structured [TAG] prompt files to model-native plain text prompts, validates model duration/aspect constraints, decomposes key-frame shots into supported start/end image clips, tracks uploaded media and job IDs, and writes generation logs.