bria-ai
Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds. Includes batch generation (multiple images concurrently), pipeline workflows (generate → edit → remove background), and parallel API patterns. Use for websites, presentations, e-commerce catalogs, or any task needing multiple AI-generated images.
Why use this skill?
Generate professional visual assets, edit images, and automate design workflows with Bria.ai integrated directly into your OpenClaw agent.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/galbria/bria-ai-apiWhat This Skill Does
The bria-ai skill is a powerful, enterprise-grade integration that empowers OpenClaw to generate and manipulate high-quality visual assets using Bria's commercially-safe AI models. It acts as a comprehensive visual studio within your terminal or chat interface, providing everything from image generation (FIBO) to advanced background removal (RMBG-2.0), outpainting, upscaling, and style transformations. Designed for workflows that require consistency and professional results, this skill allows users to programmatically handle batch generations, multi-step edit pipelines, and complex visual adjustments without ever leaving the OpenClaw environment.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/galbria/bria-ai-api
Ensure that you have your Bria API credentials ready, as the skill requires an api_token for authenticating requests to the Bria engine. After installation, you can initialize the skill by configuring your environment variables according to the provided documentation in the openclaw/skills repository.
Use Cases
- E-commerce Optimization: Automatically generate lifestyle shots for product catalogs by placing product images into various professional settings using the Lifestyle Shot feature.
- Content Creation: Quickly iterate on hero images for landing pages or social media banners, using consistent prompts and aspect ratios like 16:9 or 9:16.
- Design & Layout: Use the RMBG-2.0 tool to strip backgrounds from product photos, allowing for easy composition in UI/UX design tools or marketing materials.
- Asset Enhancement: Upgrade low-resolution assets using the Super Resolution (upscaling) feature to ensure brand quality across high-DPI displays.
- Creative Pipelines: Chain multiple effects together, such as generating an image, applying a style transfer, and finally removing the background, all within a single automated flow.
Example Prompts
- "Generate a 16:9 hero image of a clean, minimalist workspace with a laptop and a coffee mug on a wooden desk, photorealistic style."
- "Remove the background from the uploaded product image and upscale the remaining subject to 4x resolution."
- "Apply a warm sunset filter and change the background of this image to a blurred metropolitan balcony."
Tips & Limitations
- VGL for Precision: When natural language prompts are not specific enough, utilize VGL (Visual Generation Language) structured prompts. This JSON-based format provides deterministic control over lighting, object placement, and composition.
- Batching: Always look to utilize batching patterns when creating multiple assets to minimize latency and optimize your API credit usage.
- Consistency: Keep in mind that while Bria models are high-performing, complex modifications (like replacing specific objects) are most effective when provided with clear, isolated descriptions or masks for better accuracy.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-galbria-bria-ai-api": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api
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bria-ai
Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds. Includes batch generation (multiple images concurrently), pipeline workflows (generate → edit → remove background), and parallel API patterns. Use for websites, presentations, e-commerce catalogs, or any task needing multiple AI-generated images.
bria-ai
Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds. Includes batch generation (multiple images concurrently), pipeline workflows (generate → edit → remove background), and parallel API patterns. Use for websites, presentations, e-commerce catalogs, or any task needing multiple AI-generated images.
vgl
Maximum control over AI image generation — write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exact object placement, lighting direction, camera angle, lens focal length, composition, color scheme, and artistic style as deterministic JSON instead of ambiguous natural language. Use this skill when you need reproducible image generation, precise control over scene composition, or want to convert a natural language image request into a structured JSON schema for Bria FIBO models. Triggers on requests for structured prompts, controllable generation, VGL JSON, deterministic image descriptions, or Bria/FIBO structured_prompt format.
Bria Ai
Skill by galbria