README.md

metadata

tags:
  - ml-intern

Comic Character Extractor

Overview

This space automatically extracts all characters from a comic page image and re-renders each with a neutral reference prompt (plain background, no emotion, no pose, no action).

Built by cloning the prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast studio UI and adding an automatic multi-character workflow.

How It Works

1. Character Detection — Grounding DINO (tiny) detects all people/characters in the comic page.
2. Segmentation — Segment Anything Model (SAM, vit-base) segments each detected character.
3. Extraction — Each character is cropped onto a plain white background.
4. Neutral Re-render — Qwen Image Edit 2511 renders each character with a neutral prompt:

   white_background clean flat neutral character portrait, front_view face forward standing_pose neutral_expression, no_emotion no_action no_gesture

Features

• Auto-detects all characters — No need to specify how many characters are on the page.
• Neutral reference output — Plain background, no emotions, no poses, no actions.
• Studio UI — Dark-themed interface with canvas view, filmstrip, and inspector panel.
• Keyboard shortcuts — Ctrl+Enter to auto-extract, Escape to close zoom.

Usage

1. Upload a comic page image (PNG/JPG).
2. Click "Auto-Extract Characters" or press Ctrl+Enter.
3. Each character appears as a separate image in the filmstrip.
4. Click any character in the filmstrip to view it on the canvas.
5. Use the Download button to save individual character images.

Models Used

Component	Model
Character Detector	facebook/grounding-dino-tiny
Segmenter	facebook/sam-vit-base
Image Editor	Qwen/Qwen-Image-Edit-2511

Citation

This project uses:

• Grounding DINO
• Segment Anything Model (SAM)
• Qwen-Image-Edit

License

MIT