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, commercially-safe visual assets with Bria AI. From hero images to background removal, streamline your design workflow with OpenClaw.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/galbria/bria-ai-clientWhat This Skill Does
The Bria AI skill for OpenClaw is a powerful visual generation engine designed for professional-grade asset creation. It provides direct access to Bria's commercially-safe AI models, enabling users to generate, edit, and manipulate high-fidelity images directly from their workspace. The skill covers the entire lifecycle of visual production, from generating a prompt-based hero image to removing backgrounds, upscaling resolution, or transforming the visual style of a composition. It is built for scalability, supporting batch processing for e-commerce catalogs and complex pipeline workflows like multi-stage image editing.
Installation
To integrate this skill into your environment, use the OpenClaw command-line interface. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/galbria/bria-ai-client
Once installed, ensure your BRIA_API_KEY is configured in your environment variables to authenticate requests to the Bria engine.
Use Cases
This skill is indispensable for:
- E-commerce: Generating consistent lifestyle shots for product catalogs by placing items into custom scenes.
- Web & App Design: Producing standardized hero images, iconography, and backgrounds that match brand guidelines.
- Presentations: Creating custom diagrams, slide headers, and visual metaphors to enhance storytelling.
- Content Marketing: Rapidly generating social media assets in various aspect ratios (9:16 for stories, 1:1 for feed posts).
- Image Restoration: Cleaning up or enhancing damaged/old photographs and optimizing low-resolution assets for print.
Example Prompts
- "Generate a 16:9 hero image for a sustainable tech landing page, featuring a sleek, modern workstation with a soft, natural morning light, high resolution."
- "Take the uploaded product photo, remove the background, and place the watch onto a marble pedestal in a sunlit studio environment."
- "Upscale these 5 product photos to 4k resolution and apply a warm, professional lighting filter to all of them for the new catalog batch."
Tips & Limitations
- Precision Control: For complex requirements, move beyond natural language prompts and utilize VGL structured prompts to define lighting, object placement, and composition mathematically.
- Batching: Always group similar tasks in a single execution to optimize API throughput and reduce latency.
- Commercially Safe: All assets produced by Bria are trained on licensed, commercially-safe datasets, making them suitable for enterprise use without copyright concerns.
- Limitations: While powerful, generation times may fluctuate based on the complexity of the prompt and the current server load. Ensure image dimensions and aspect ratios are specified clearly to avoid cropping errors.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-galbria-bria-ai-client": {
"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.
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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