background-removal
Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, background remover, rembg, product photo editing, cutout, transparent png, bg removal, photo cutout
- Installs
- 42
- Last 24h
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/qu-skills/superpowers --skill background-removal- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads background-removal automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Install the belt CLI skill:
npx skills add belt-sh/cli
Background Removal
Remove backgrounds from images via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run infsh/birefnet --input '{"image_url": "https://your-photo.jpg"}'
How To
Use Reve for image editing including background changes:
belt app run falai/reve --input '{
"prompt": "remove the background, make it transparent",
"image_url": "https://portrait.jpg"
}'
Or change background directly:
belt app run falai/reve --input '{
"prompt": "change the background to a beach",
"image_url": "https://product-photo.jpg"
}'
Workflow: Generate and Edit
# 1. Generate an image
belt app run falai/flux-dev-lora --input '{"prompt": "a cute robot mascot"}' > robot.json
# 2. Edit with Reve
belt app run falai/reve --input '{
"prompt": "remove background, transparent",
"image_url": "<url-from-step-1>"
}'
Use Cases
- E-commerce: Clean product photos
- Portraits: Professional headshots
- Marketing: Assets for design
- Social Media: Profile pictures
- Design: Elements for compositions
Output
Returns a PNG with transparent background.
Related Skills
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# Image generation
npx skills add inference-sh/skills@ai-image-generation
# FLUX models (including inpainting)
npx skills add inference-sh/skills@flux-image
# Upscaling
npx skills add inference-sh/skills@image-upscaling
Browse all image apps: belt app list --category image
Documentation
- Running Apps - How to run apps via CLI
- Image Generation Example - Complete image workflow guide
- Apps Overview - Understanding the app ecosystem
FAQ
What does the background-removal skill do?
Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, background remover, rembg, product photo editing, cutout, transparent png, bg removal, photo cutout
How do I install background-removal?
Run npx skills add https://github.com/qu-skills/superpowers --skill background-removal in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/background-removal/ (personal) or .claude/skills/background-removal/ (project).
Which AI agents can use background-removal?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is background-removal safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains background-removal?
It is published by qu-skills in qu-skills/superpowers. It has 42 recorded installs.
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