Empower your agent to generate and edit commercially-safe, high-quality visual assets using Bria AI models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bria-ai-client
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bria-ai-client using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Bria Visual Asset Generator?
The Bria Visual Asset Generator skill enables developers to integrate professional-grade image generation and editing into their automated workflows. Leveraging Bria's commercially-safe AI models, this skill provides a robust suite of tools for creating hero images, product photography, and marketing materials. It is a vital addition to the library of Openclaw Skills for teams requiring legally compliant and high-fidelity visual content.
From simple text-to-image generation using FIBO to complex pipeline workflows like background removal and lifestyle shot placement, this skill covers the entire asset production lifecycle. Whether you are automating e-commerce catalog creation or building dynamic web content, these Openclaw Skills ensure your AI agent can handle sophisticated visual tasks with precision and scale.
Bria Visual Asset Generator Use Cases
- Automating e-commerce product photography with consistent studio lighting and transparent backgrounds.
- Generating high-resolution hero banners and social media assets for digital marketing campaigns.
- Creating transparent PNG icons and logos using advanced RMBG-2.0 background removal.
- Developing complex image processing pipelines including upscaling, restyling, and colorization.
- Building internal tools that require commercially-safe AI image generation for corporate presentations.
How Bria Visual Asset Generator Works
- The AI agent sends a generation or edit request to the Bria API with specific prompts, aspect ratios, and parameters.
- Bria processes the request asynchronously and returns a unique request ID along with a status URL.
- The skill implementation polls the status URL at regular intervals to monitor the generation progress.
- Once the status reaches COMPLETED, the skill retrieves the final production-ready image URL.
- For multi-stage workflows, the resulting image is passed to subsequent endpoints such as background removal or lifestyle shot placement.
Bria Visual Asset Generator Setup
Prerequisites
Obtain your API key from the Bria.ai dashboard and ensure it is accessible to your environment.
Authentication
All requests must include the api_token header for authentication.
Basic Generation Command
To generate an image, use the following bash command:
curl -X POST "https://engine.prod.bria-api.com/v2/image/generate" \
-H "api_token: $BRIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Modern tech startup workspace, bright natural lighting",
"aspect_ratio": "16:9"
}'
Bria Visual Asset Generator Data Schema & Taxonomy
The skill manages visual assets and request metadata through a structured schema:
| Attribute | Description | Example |
|---|---|---|
request_id |
Unique UUID for tracking async operations | 550e8400-e29b-41d4-a716... |
image_url |
Publicly accessible URL of the generated asset | https://bria-api.com/result.png |
status |
Current lifecycle state of the request | IN_PROGRESS, COMPLETED, FAILED |
aspect_ratio |
The defined dimensions of the output image | 1:1, 16:9, 9:16 |
pipeline_stage |
Current step in a multi-operation workflow | generate, rmbg, upscale |
Bria Visual Asset Generator Advanced Features
- Parallel Batch Generation: Concurrently process multiple image prompts using async patterns to maximize throughput for large asset libraries.
- Automated Pipeline Chaining: Seamlessly link operations such as generation, background removal, and lifestyle shot placement into a single automated execution.
- Precision Mask Editing: Use GenFill with specific masks for localized image manipulation, allowing for object replacement or inpainting within existing assets.
- Deterministic Control: Integrate with VGL (Visual Generation Language) for precise, JSON-based control over every visual attribute in the generation process.
- Enterprise-Grade Compliance: Access models trained exclusively on licensed data to ensure legal safety across all Openclaw Skills applications.
SKILL.md
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