What problem does it solve? Removing backgrounds from images manually requires photo editing software and tedious masking work. This Skill automates background removal through the inference.sh CLI, producing transparent PNGs from any image URL. ## Core Features & Use Cases - BiRefNet Background Removal: Run the BiRefNet model via belt app run infsh/birefnet to cut out subjects and return transparent PNGs. - Prompt-Based Editing with Reve: Use the falai/reve app to remove or replace backgrounds with natural language prompts, such as changing a backdrop to a beach scene. - Generation-to-Edit Workflows: Chain image generation (e.g., FLUX) with background removal in a single pipeline. - Use Case: An e-commerce seller needs clean product photos. Pass each product image URL to the BiRefNet app and receive transparent PNGs ready for storefront listings. ## Quick Start Ask the assistant to remove the background from your image URL using the background-removal skill, and it will run the BiRefNet app through the belt CLI and return a transparent PNG.