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Background Removal

Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-...

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Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.5

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

Background Removal

Remove backgrounds from images via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login infsh app run infsh/birefnet --input '{"image_url": "https://your-photo.jpg"}' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

How To

Use Reve for image editing including background changes: infsh app run falai/reve --input '{ "prompt": "remove the background, make it transparent", "image_url": "https://portrait.jpg" }' Or change background directly: infsh 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 infsh app run falai/flux-dev-lora --input '{"prompt": "a cute robot mascot"}' > robot.json # 2. Edit with Reve infsh 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 150+ apps) npx skills add inference-sh/skills@inference-sh # 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: infsh 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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc