background-removalRemove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-...
Install via ClawdBot CLI:
clawdbot install okaris/background-removalRemove backgrounds from images via inference.sh CLI.
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.
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"
}'
# 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>"
}'
Returns a PNG with transparent background.
# 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
Generated Mar 1, 2026
Online retailers can automatically remove backgrounds from product images to create clean, consistent listings with transparent PNGs, improving visual appeal and conversion rates on platforms like Amazon or Shopify. This streamlines catalog management and reduces manual editing costs.
Marketing agencies and photographers use this skill to quickly generate transparent background headshots for corporate websites, social media profiles, and promotional materials, ensuring a polished, professional look without extensive manual labor.
Content creators and influencers leverage background removal to isolate subjects from images, enabling easy composition of engaging visuals for posts, stories, and ads on platforms like Instagram and TikTok, enhancing brand consistency.
Graphic designers and creative teams utilize this skill to extract image elements with transparent backgrounds for use in compositions, advertisements, or digital art, speeding up workflow and enabling seamless integration into various projects.
Small businesses, such as local photographers or online sellers, automate background removal to handle high volumes of images efficiently, reducing reliance on expensive software or outsourcing while maintaining quality for customer deliverables.
Offer a cloud API that processes background removal requests on a pay-per-use or monthly subscription basis, targeting developers and businesses needing scalable, automated image editing without infrastructure management. Revenue is generated through tiered pricing based on usage volume.
License the background removal technology to e-commerce platforms or SaaS providers as an integrated feature, enabling them to offer automated photo editing to their users. Revenue comes from licensing fees or revenue-sharing agreements based on user adoption.
Provide a free basic version of the skill for casual users, with advanced features like batch processing, higher resolution outputs, or priority support available through a premium plan. Revenue is driven by upgrades and one-time purchases for enhanced capabilities.
đŹ Integration Tip
Integrate this skill into existing workflows by using the CLI commands in automated scripts or linking it with cloud storage services for batch processing of images.
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äœżçšć çœź image_generate.py èæŹçæćŸç, ć〿ž æ°ć ·äœç `prompt`ă
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