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Bria Ai

Organization
Bria-AI
bria-ai

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.

Overview

PublisherBria-AI
Repositorybria-skill
Skill namebria-ai
Stars
74
Forks
7
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Bria-AI on GitHub. Read the source before you install it.

Installation

Install the Bria Ai AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Bria-AI/bria-skill/tree/dev/bria-ai-openclaw/skills/bria-ai
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Bria-AI/bria-skill.git /tmp/bria-skill
mkdir -p .claude/skills
cp -r /tmp/bria-skill/bria-ai-openclaw/skills/bria-ai .claude/skills/bria-ai
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bria Ai in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bria Ai on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bria Ai is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

bash
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:

bash
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

bash
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.
  • READY — BRIA_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)

Combine 2-4 images — outfit, product, logo, style, or background from one into another?
  → /v2/image/edit  (--key images, then one --image per extra reference)

Remove an object and its shadow or reflection ("remove the bike and its shadow")?
  → /v2/image/edit/erase  ("composite": false, mask only the object)

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

bash
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')

# Generate with a photographic look (style: kodak_film, hard_flash, hazy_dreamy or rough_realism)
RESULT=$(bria_call /v2/image/generate "" '"prompt": "a woman reading on a city bus", "style": "kodak_film", "seed": 5555, "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"')

# Edit with reference images — each --image adds the next one, in order
RESULT=$(bria_call /v2/image/edit "https://example.com/man.jpg" --key images \
  --image "https://example.com/santa.png" \
  '"instruction": "dress the man in image 1 in the santa outfit from image 2"')

# Upscale
RESULT=$(bria_call /v2/image/edit/increase_resolution "https://example.com/img.jpg" '"desired_increase": 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
  • Add --image <url_or_path> once per extra reference image (--key images, up to 4 in total). Order is preserved: the positional image is "image 1", the first --image is "image 2", …
  • Returns the result image URL on success, or prints an error to stderr

Editing with several images (2-4): put the image being edited first, references after it, and address them by position — "dress the man in image 1 in the santa outfit from image 2". Say what each reference contributes, in plain prose. Single-image edits need no positional wording.

Generation options: Aspect ratios 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, plus 16:10, 10:16, 2:1, 1:2, 21:9, 9:21, 3:1, 1:3, 4:1, 1:4, 5:1, 1:5 (not with 4MP, a style_id, or a reference image beside a VGL). Resolution 1MP (default) or 4MP (more detail, +30s). For a photographic look, add "style": kodak_film, hard_flash, hazy_dreamy or rough_realism. It is text-to-image only, so not with style_id, a VGL, reference images, 4MP or lite. Pass "sync": true for a single generated image. Editing endpoints are the other way round — they answer with a status_url you poll, and "sync": true on an edit fails with a gateway timeout.

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


Common Failures

  • bria_call returns empty / no URL → BRIA_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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Bria Ai AI skill do?

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.

Why use Bria Ai on TypingMind?

Because you install it once and use it with any model. Bria Ai is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bria Ai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Bria-AI/bria-skill/tree/dev/bria-ai-openclaw/skills/bria-ai. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bria Ai?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bria Ai?

As many as you like. As long as a model supports skills, you can use Bria Ai with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bria Ai AI skill free?

Yes. It is published on GitHub by Bria-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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