101-skills/superpowers

background-removal

Remove backgrounds from images with BiRefNet via inference.sh CLI.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/101-skills/superpowers --skill background-removal

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Install the belt CLI skill: npx skills add belt-sh/cli

Background Removal

Remove backgrounds from images via inference.sh CLI.

Background Removal
Background Removal

Quick Start

Requires inference.sh CLI (belt). Install instructions
bash
belt login

belt app run infsh/birefnet --input '{"image_url": "https://your-photo.jpg"}'

How To

Use Reve for image editing including background changes:

bash
belt app run falai/reve --input '{
  "prompt": "remove the background, make it transparent",
  "image_url": "https://portrait.jpg"
}'

Or change background directly:

bash
belt app run falai/reve --input '{
  "prompt": "change the background to a beach",
  "image_url": "https://product-photo.jpg"
}'

Workflow: Generate and Edit

bash
# 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

bash
# 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

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