Jump to related tools in the same category or review the original source on GitHub.

Web & Frontend Development @galbria Updated 7/18/2026 2,568 downloads 4 stars Security: Pass

🖼 Bria Ai OpenClaw Plugin & Skill | ClawHub

Looking to integrate Bria Ai into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.

What this skill does

Bria.ai image API — generate from text prompts, edit with natural language, remove backgrounds for transparent PNGs, and create product lifestyle shots. Authenticates via OAuth device flow, caches credentials in ~/.bria/credentials, calls 20+ endpoints. Commercially safe, royalty-free. Triggers on: remove background, transparent PNG, cutout, generate image, create banner, edit photo, product photography, upscale, restyle, inpainting, outpainting, lifestyle shot, background replacement, object removal, photo restoration.

Install

ClawHub CLI
openclaw skills install @galbria/bria-ai
Node.js (npx)
npx clawhub@latest install bria-ai

Full SKILL.md

Open original
Metadata table.
namedescriptionlicensehomepage
bria-aiBria.ai image API — generate from text prompts, edit with natural language, remove backgrounds for transparent PNGs, and create product lifestyle shots. Authenticates via OAuth device flow, caches credentials in ~/.bria/credentials, calls 20+ endpoints. Commercially safe, royalty-free. Triggers on: remove background, transparent PNG, cutout, generate image, create banner, edit photo, product photography, upscale, restyle, inpainting, outpainting, lifestyle shot, background replacement, object removal, photo restoration. MIThttps://bria.ai

SKILL.md content below is scrollable.

Bria — AI Image Generation, Editing & Background Removal

Commercially safe, royalty-free image generation and editing through 20+ API endpoints.

For additional endpoint details, see the Bria API reference for agents.

When to Use This Skill

  • Generate images — "create an image of...", "make me a banner", "generate a hero image", "I need a product photo"
  • Edit images — "change the background", "make it look like winter", "add a vase to the table", "remove the person"
  • Remove/replace backgrounds — "make the background transparent", "cut out the product", "replace with a studio background"
  • Product photography — "create a lifestyle shot", "place this product in a kitchen scene", "e-commerce packshot"
  • Enhance/transform — "upscale this image", "make it higher resolution", "restyle as oil painting", "change the lighting"

Setup — Authentication

Step 1: Check for existing credentials

if [ -f ~/.bria/credentials ]; then
  BRIA_ACCESS_TOKEN=$(grep '^access_token=' "$HOME/.bria/credentials" | cut -d= -f2-)
  BRIA_API_KEY=$(grep '^api_token=' "$HOME/.bria/credentials" | cut -d= -f2-)
fi
if [ -z "$BRIA_ACCESS_TOKEN" ]; then
  echo "NO_CREDENTIALS"
elif [ -n "$BRIA_API_KEY" ]; then
  echo "READY"
else
  echo "CREDENTIALS_FOUND"
fi
  • READY → skip to making API calls
  • CREDENTIALS_FOUND → skip to Step 3
  • NO_CREDENTIALS → proceed to Step 2

Step 2: Authenticate via device flow

Source the auth helper and run bria_auth:

source ~/.agents/skills/bria-ai/references/code-examples/bria_auth.sh
bria_auth

bria_auth will print SIGN_IN_URL=... and USER_CODE=.... Show the user exactly this — nothing more:

Connect your Bria account: Click here to sign in Your code is {USER_CODE} — it's already filled in.

Then wait; bria_auth polls automatically and prints AUTHENTICATED when done.

If it prints an error, the code expired — run bria_auth again.

Do not proceed with any API call until authentication is confirmed.

Step 3: Verify billing status and resolve API key

source ~/.agents/skills/bria-ai/references/code-examples/bria_auth.sh
bria_introspect

Interpret output:

  • BILLING_ERROR: ... — relay the message to the user verbatim and stop. Do not make any API calls.
  • TOKEN_EXPIRED — tell the user their session expired and restart from Step 2.
  • READYBRIA_API_KEY is now cached in ~/.bria/credentials. Proceed.

Decision Tree — Which Endpoint to Use

Transparent PNG / cutout / remove background?
  → /v2/image/edit/remove_background

Generate image from scratch (text → image)?
  → /v2/image/generate

Edit existing image with text instruction?
  → /v2/image/edit  (use --key images)

Change / replace / blur background?
  → /v2/image/edit/replace_background  (prompt: "blur" or describe new bg)

Place product in a lifestyle scene?
  → /v1/product/lifestyle_shot_by_text

Upscale / increase resolution?
  → /v2/image/edit/increase_resolution  (scale: 2 or 4)

Anything else (restyle, relight, reseason, restore, colorize, sketch, blend, outpaint)?
  → See references/capabilities.md for the full endpoint list

How to Call Any Endpoint

source ~/.agents/skills/bria-ai/references/code-examples/bria_client.sh

# Generate (no image input)
RESULT=$(bria_call /v2/image/generate "" '"prompt": "your description", "aspect_ratio": "16:9", "sync": true')

# Remove background
RESULT=$(bria_call /v2/image/edit/remove_background "/path/to/local/image.png")

# Replace background
RESULT=$(bria_call /v2/image/edit/replace_background "https://example.com/img.jpg" '"prompt": "sunset beach"')

# Edit image (uses images array — pass --key images)
RESULT=$(bria_call /v2/image/edit "/path/to/image.png" --key images '"instruction": "make it look warmer"')

# Upscale
RESULT=$(bria_call /v2/image/edit/increase_resolution "https://example.com/img.jpg" '"scale": 4')

# Lifestyle shot
RESULT=$(bria_call /v1/product/lifestyle_shot_by_text "/path/to/product.png" '"scene_description": "modern kitchen countertop"')

echo "$RESULT"

Calling convention: bria_call <endpoint> <image_or_empty> [--key <json_key>] [extra JSON fields...]

  • Pass a URL, local file path, or "" for endpoints without image input
  • Use --key images when the endpoint expects an images array instead of image
  • Returns the result image URL on success, or prints an error to stderr

Generation options: Aspect ratios 1:1, 16:9, 4:3, 9:16, 3:4. Resolution 1MP (default) or 4MP (more detail, +30s). Pass "sync": true for single images.

Advanced: For precise control over generation, use the vgl skill for structured VGL JSON prompts.


Common Failures

  • bria_call returns empty / no URLBRIA_API_KEY was not set. Run Step 3 (bria_introspect) to cache it.
  • Async job times out → Some endpoints take 60–90s. If bria_call reports a timeout, retry once; the job may have been queued.
  • ERROR 401 → API key is stale. Delete ~/.bria/credentials and re-authenticate from Step 2.
  • BILLING_ERROR → Relay message to user verbatim, do not retry API calls.
  • Local file not found → Pass the absolute path; bria_client.sh handles base64 encoding automatically.
  • /v2/image/edit returns wrong result → Confirm --key images flag is present; this endpoint requires the images array format.

Resources

Related Skills

  • vgl — Structured VGL JSON prompts for precise, deterministic control over FIBO image generation
  • image-utils — Classic image manipulation (resize, crop, composite, watermarks) for post-processing
ClawHub Registry URL: https://clawhub.ai/galbria/skills/bria-ai

Related skills

If this matches your use case, these are close alternatives in the same category.