Acerca de
Esta habilidad utiliza el modelo Bria RMBG 2.0 para eliminar fondos de imágenes, creando PNGs transparentes, recortes y máscaras. Es la herramienta dedicada y optimizada para cualquier tarea de eliminación de fondos, como la extracción de sujetos o recortes de productos, y siempre debe preferirse sobre habilidades de imagen de propósito general para esta función.
Instalación rápida
Claude Code
Recomendadonpx skills add Bria-AI/bria-skill -a claude-code/plugin add https://github.com/Bria-AI/bria-skillgit clone https://github.com/Bria-AI/bria-skill.git ~/.claude/skills/remove-backgroundCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
Remove Background — Transparent PNGs & Cutouts with RMBG 2.0
Remove the background from any image and get a transparent PNG. Powered by Bria's RMBG 2.0 model — commercially safe, royalty-free, production-ready background removal and foreground segmentation.
When to Use This Skill
Use this skill when the user wants to:
- Remove a background — "remove the background", "make the background transparent", "delete the background"
- Create a transparent PNG — "give me a PNG with no background", "transparent version", "cutout"
- Create a cutout — "cut out the person", "cutout of the product", "photo cutout", "image cutout"
- Extract the foreground subject — "isolate the product", "extract the object", "foreground extraction"
- Product cutout for e-commerce — "product photo with transparent background", "packshot cutout", "catalog cutout image"
- Portrait and headshot cutout — "remove background from headshot", "portrait with no background"
- Batch background removal — "remove backgrounds from all these images", "process in bulk"
- Image segmentation — "segment the foreground", "separate foreground and background", "foreground segmentation"
- Prepare cutouts for compositing — "I need a cutout to paste onto another image", "layer separation"
- Background eraser — "erase the background", "background eraser tool", "clean background removal"
When NOT to Use This Skill
For other image operations, use the bria-ai skill instead:
- Replace background with a new scene → bria-ai (
replace_background) - Blur background → bria-ai (
blur_background) - Generate images from text → bria-ai (
generate) - Edit images with instructions → bria-ai (
edit)
This skill does one thing: remove backgrounds to produce transparent PNGs and cutouts.
Setup — Authentication
Before making any API call, you need a valid Bria access token.
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
If the output is READY, skip straight to making API calls — no introspection needed.
If the output is CREDENTIALS_FOUND, skip to Step 3.
If the output is NO_CREDENTIALS, proceed to Step 2.
Step 2: Authenticate via device authorization
Start the device authorization flow:
2a. Request a device code:
DEVICE_RESPONSE=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/device/authorize" \
-H "Content-Type: application/json")
echo "$DEVICE_RESPONSE"
Parse the response fields:
device_code— used to poll for the token (keep this, don't show to user)user_code— the code the user must enter (e.g.BRIA-XXXX)interval— seconds between poll attempts
2b. Show the user a single sign-in link. Tell them exactly this — nothing more:
Connect your Bria account: Click here to sign in Your code is {user_code} — it's already filled in.
Do NOT show two links. Do NOT show the raw URL separately. Do NOT use verification_uri from the API response. Keep it to one clickable link.
2c. Poll for the token. After showing the user the code, immediately start polling. Try up to 60 times with the given interval (default 5 seconds):
for i in $(seq 1 60); do
TOKEN_RESPONSE=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/token" \
-d "grant_type=urn:ietf:params:oauth:grant-type:device_code" \
-d "device_code=$DEVICE_CODE")
ACCESS_TOKEN=$(printf '%s' "$TOKEN_RESPONSE" | sed -n 's/.*"access_token" *: *"\([^"]*\)".*/\1/p')
if [ -n "$ACCESS_TOKEN" ]; then
BRIA_ACCESS_TOKEN="$ACCESS_TOKEN"
REFRESH_TOKEN=$(printf '%s' "$TOKEN_RESPONSE" | sed -n 's/.*"refresh_token" *: *"\([^"]*\)".*/\1/p')
mkdir -p ~/.bria
printf 'access_token=%s\nrefresh_token=%s\n' "$BRIA_ACCESS_TOKEN" "$REFRESH_TOKEN" > "$HOME/.bria/credentials"
echo "AUTHENTICATED"
break
fi
sleep 5
done
If the output contains AUTHENTICATED, proceed to Step 3. Otherwise the code expired — start over from Step 2a.
Do not proceed with any API call until authentication is confirmed.
Step 3: Verify billing status and resolve API key
Introspect the bearer token to check billing status and obtain the real API key for Bria API calls:
INTROSPECT=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/token/introspect" \
-d "token=$BRIA_ACCESS_TOKEN")
BILLING_STATUS=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"billing_status" *: *"\([^"]*\)".*/\1/p')
if [ "$BILLING_STATUS" = "blocked" ]; then
BILLING_MSG=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"billing_message" *: *"\([^"]*\)".*/\1/p')
echo "BILLING_ERROR: $BILLING_MSG"
fi
ACTIVE=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"active" *: *\([^,}]*\).*/\1/p' | tr -d ' ')
if [ "$ACTIVE" = "false" ]; then
# Clear stale tokens so re-auth starts fresh (credentials file is re-created in Step 2c)
printf '' > "$HOME/.bria/credentials"
echo "TOKEN_EXPIRED"
fi
BRIA_API_KEY=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"api_token" *: *"\([^"]*\)".*/\1/p')
if [ -n "$BRIA_API_KEY" ]; then
grep -v '^api_token=' "$HOME/.bria/credentials" > "$HOME/.bria/credentials.tmp" 2>/dev/null || true
printf 'api_token=%s\n' "$BRIA_API_KEY" >> "$HOME/.bria/credentials.tmp"
mv "$HOME/.bria/credentials.tmp" "$HOME/.bria/credentials"
fi
Interpret the output:
- If it prints
BILLING_ERROR: ...— relay the message to the user exactly as shown and stop. Do not make any API calls. - If it prints
TOKEN_EXPIRED— the session is no longer valid. Tell the user their session expired and restart from Step 2. - Otherwise,
BRIA_API_KEYnow contains the real API key and is cached for future calls. Proceed to the next section.
How to Remove a Background
Use bria_call for the API call. It handles URL passthrough, local file base64 encoding, JSON construction, the API call, and async polling — all in a single function call. The API key is auto-loaded from ~/.bria/credentials.
source ~/.agents/skills/remove-background/references/code-examples/bria_client.sh
# Remove background from a local file — get transparent PNG cutout
RESULT_URL=$(bria_call /v2/image/edit/remove_background "/path/to/image.png")
echo "$RESULT_URL" # → https://...transparent.png
# Remove background from a URL — get transparent PNG cutout
RESULT_URL=$(bria_call /v2/image/edit/remove_background "https://example.com/photo.jpg")
echo "$RESULT_URL" # → https://...transparent.png
That's it. One function call. The result is a URL to a transparent PNG with the background removed.
Input
- Local file path — any image file (JPEG, PNG, WEBP). Automatically base64-encoded and uploaded.
- Image URL — any publicly accessible image URL. Passed directly to the API.
Supported formats: JPEG, PNG, WEBP. Supports CMYK and RGBA input.
Output
A URL to a PNG with transparency — the background is fully removed, leaving only the foreground subject with an alpha channel.
Download the result to save it locally:
curl -sL "$RESULT_URL" -o output.png
Examples
Product cutout for e-commerce
Create a transparent product cutout for online stores, catalogs, and marketplaces:
source ~/.agents/skills/remove-background/references/code-examples/bria_client.sh
RESULT_URL=$(bria_call /v2/image/edit/remove_background "/path/to/product.jpg")
curl -sL "$RESULT_URL" -o product_cutout.png
echo "Transparent product cutout saved to product_cutout.png"
Portrait and headshot background removal
Remove backgrounds from headshots and portraits for team pages, social profiles, and compositing:
source ~/.agents/skills/remove-background/references/code-examples/bria_client.sh
RESULT_URL=$(bria_call /v2/image/edit/remove_background "https://example.com/headshot.jpg")
curl -sL "$RESULT_URL" -o headshot_cutout.png
Batch background removal
Process entire directories — remove backgrounds in bulk for e-commerce catalogs and asset pipelines:
source ~/.agents/skills/remove-background/references/code-examples/bria_client.sh
mkdir -p cutouts
for img in images/*.{jpg,png,webp}; do
[ -f "$img" ] || continue
name=$(basename "${img%.*}")
RESULT_URL=$(bria_call /v2/image/edit/remove_background "$img")
if [ -n "$RESULT_URL" ] && [ "$RESULT_URL" != "ERROR"* ]; then
curl -sL "$RESULT_URL" -o "cutouts/${name}_cutout.png"
echo "Done: $name"
else
echo "Failed: $name" >&2
fi
done
Extract foreground subject for compositing
Segment and extract the foreground from any photo to create a cutout for layering and compositing:
source ~/.agents/skills/remove-background/references/code-examples/bria_client.sh
RESULT_URL=$(bria_call /v2/image/edit/remove_background "/path/to/scene.jpg")
curl -sL "$RESULT_URL" -o foreground_cutout.png
How RMBG 2.0 Works
- You provide an image (local file path or URL)
bria_callsends it to Bria's RMBG 2.0 background removal endpoint- The RMBG model performs foreground-background segmentation with pixel-level accuracy
- Background pixels become transparent (alpha = 0)
- You get back a PNG URL with full transparency — a clean cutout
RMBG 2.0 handles complex edges with production-grade accuracy:
- Hair and fur — fine strands and wispy edges preserved
- Transparent and semi-transparent objects — glass, veils, smoke
- Complex backgrounds — busy scenes, gradients, similar colors
- Multiple subjects — groups of people, product arrangements
- Fine details — jewelry, lace, intricate patterns
Additional Resources
- API Endpoints Reference — Full endpoint documentation with request/response format
- Shell Client (bria_client.sh) — Single-function helper:
bria_callhandles auth, base64, JSON, polling
Related Skills
- bria-ai — Full Bria API access: generate images, edit photos, replace/blur backgrounds, upscale, restyle, product photography, and 20+ more endpoints
- image-utils — Post-processing with Python Pillow: resize, crop, composite, watermarks, format conversion
Repositorio GitHub
Preguntas frecuentes
¿Qué es el Skill remove-background?
remove-background es un Skill de Claude creado por Bria-AI. Los Skills agrupan instrucciones y recursos que Claude carga cuando los necesita para realizar tareas relacionadas con remove-background sin indicaciones adicionales.
¿Cómo instalo remove-background?
Usa los comandos de instalación de esta página: añade remove-background a Claude Code como plugin o clona su repositorio en tu directorio de skills y reinicia Claude para cargarlo.
¿A qué categoría pertenece remove-background?
remove-background pertenece a la categoría Meta.
¿Se puede usar remove-background gratis?
Sí. remove-background aparece en AIMCP y se puede instalar gratis.
Habilidades relacionadas
Esta habilidad proporciona una configuración probada en producción para Content Collections, una herramienta centrada en TypeScript que transforma archivos Markdown/MDX en colecciones de datos con tipado seguro mediante validación Zod. Úsala al construir blogs, sitios de documentación o aplicaciones Vite + React con mucho contenido para garantizar seguridad de tipos y validación automática de contenido. Abarca todo, desde la configuración del plugin de Vite y compilación MDX hasta la optimización de despliegue y validación de esquemas.
Esta habilidad permite a los desarrolladores crear aplicaciones con la plataforma de mercados de predicción Polymarket, incluyendo la integración de API para operaciones y datos de mercado. También proporciona transmisión de datos en tiempo real a través de WebSocket para monitorear operaciones en vivo y actividad del mercado. Úsela para implementar estrategias de trading o crear herramientas que procesen actualizaciones de mercado en tiempo real.
Esta habilidad ayuda a los desarrolladores a crear complementos de OpenCode que se conectan a más de 25 tipos de eventos, como comandos, archivos y operaciones LSP. Proporciona la estructura del complemento, las especificaciones de la API de eventos y los patrones de implementación para módulos en JavaScript/TypeScript. Úsala cuando necesites interceptar, monitorear o extender el ciclo de vida del asistente de IA de OpenCode con lógica personalizada basada en eventos.
SGLang es un framework de alto rendimiento para el servicio de LLM que se especializa en generación rápida y estructurada para JSON, expresiones regulares y flujos de trabajo de agentes utilizando su caché de prefijos RadixAttention. Ofrece una inferencia significativamente más rápida, especialmente para tareas con prefijos repetidos, lo que lo hace ideal para salidas complejas y estructuradas, y conversaciones multiturno. Elige SGLang sobre alternativas como vLLM cuando necesites decodificación restringida o estés construyendo aplicaciones con uso extensivo de prefijos compartidos.
