background-removelisted

# Background Remove Skill Remove backgrounds from images using AI (rembg/U2-Net) or built-in methods. **Output:** PNG or WebP with transparent background. ## Quick Examples | User Says | What Happens | |-----------|--------------| | "Remove the background from this photo" | AI removes background, outputs PNG | | "Make this image transparent" | Removes background, preserves subject | | "Cut out the product from this image" | Isolates subject with clean edges | | "Remove backgrounds from all images in /photos" | Batch processes multiple images | | "Quick background removal, white background" | Uses fast built-in method | ## Prerequisites - `rembg` - AI-based background removal (recommended) ```bash pip install rembg # Or with GPU acceleration (faster, requires CUDA) pip install rembg[gpu] ``` - `Pillow` - Required for image processing ```bash pip install Pillow ``` The first run will download the U2-Net model (~170MB) which is cached for future use. ## Methods | Method | Description | Best For | |--------|-------------|----------| | **rembg** | AI-based using U2-Net model | Complex images, photos, products (default) | | **builtin** | White-to-transparent conversion | Icons, graphics with clean white backgrounds | ## Workflow ### Step 1: Gather Requirements (REQUIRED) Use the `AskUserQuestion` tool for each question. Ask ONE question at a time. **Q1: Image Source** > "Which image(s) should I remove the background from? > > Please provide the file pa