Spaces:
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| title: Sketch To Photo AI | |
| emoji: 📊 | |
| colorFrom: green | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 6.10.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Sketch-to-Photo AI | |
| This project uses **ControlNet (Scribble)** and Stable Diffusion to transform hand-drawn sketches into realistic photographic images. | |
| ### Tech Used | |
| - **Model:** `sd-controlnet-scribble` | |
| - **API:** Hugging Face Inference API (Serverless) | |
| - **UI:** Gradio Blocks | |
| ### How it works | |
| ControlNet adds a "spatial map" to the diffusion process. Instead of the AI guessing where objects should go based only on text, it uses the lines of your sketch as a structural guide, ensuring the output matches your original drawing perfectly. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |