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README.md

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+---
+language:
+- en
+tags:
+- comfyui
+- inpainting
+- stable-diffusion
+- image-generation
+- computer-vision
+license: gpl-3.0
+library_name: comfyui-extension
+pipeline_tag: image-inpainting
+---
+
 <div align="center">
 
 # LanPaint: Universal Inpainting Sampler with "Think Mode"
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 [![Python Benchmark](https://img.shields.io/badge/🐍-Python_Benchmark-3776AB?logo=python)](https://github.com/scraed/LanPaintBench)
 [![ComfyUI Extension](https://img.shields.io/badge/ComfyUI-Extension-7B5DFF)](https://github.com/comfyanonymous/ComfyUI)
 [![Blog](https://img.shields.io/badge/📝-Blog-9cf)](https://scraed.github.io/scraedBlog/)
-[![GitHub stars](https://img.shields.io/github/stars/scraed/LanPaint)](https://github.com/scraed/LanPaint/stargazers)
+[![GitHub stars](https://img.shields.io/badge/GitHub-stars-yellow)](https://github.com/scraed/LanPaint/stargazers)
 </div>
 
 Universally applicable inpainting ability for every model. LanPaint sampler lets the model "think" through multiple iterations before denoising, enabling you to invest more computation time for superior inpainting quality.  

model-card.md

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+---
+language:
+- en
+tags:
+- comfyui
+- inpainting
+- stable-diffusion
+- image-generation
+- computer-vision
+- diffusion
+- image-editing
+license: gpl-3.0
+library_name: comfyui-extension
+pipeline_tag: image-inpainting
+datasets:
+- stable-diffusion
+- stable-diffusion-xl
+- stable-diffusion-3
+- qwen-image
+- hidream
+- flux
+metrics:
+- image-quality
+- inpainting-accuracy
+- consistency
+---
+
+# LanPaint: Universal Inpainting Sampler
+
+## Model Description
+
+LanPaint is a universal inpainting sampler that works with any Stable Diffusion model without requiring specialized training. It introduces a "think mode" that allows models to process multiple iterations before denoising, resulting in superior inpainting quality.
+
+- **Developed by:** LanPaint Team
+- **Model type:** ComfyUI Extension (Sampler)
+- **License:** GNU General Public License v3.0
+- **Repository:** [GitHub](https://github.com/scraed/LanPaint)
+- **Paper:** [LanPaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference](https://arxiv.org/abs/2502.03491)
+
+## Intended Use
+
+LanPaint is designed for:
+- **Image Inpainting:** Fill in masked areas of images with contextually appropriate content
+- **Image Outpainting:** Extend images beyond their original boundaries
+- **Character Consistency:** Generate consistent character views and variations
+- **Universal Compatibility:** Work with any Stable Diffusion model (SD 1.5, XL, 3.5, Flux, HiDream, Qwen-Image)
+
+## How to Use
+
+### Installation
+1. Install ComfyUI (version > 0.3.11)
+2. Install ComfyUI-Manager
+3. Install LanPaint via ComfyUI-Manager or clone to `custom_nodes` folder
+4. Restart ComfyUI
+
+### Basic Usage
+- Use LanPaint nodes in the "sampling" category
+- Same workflow as standard ComfyUI KSampler
+- Supports any mask shape, size, or position
+- Configurable "thinking" steps for quality vs. speed trade-off
+
+### Example Workflows
+- Qwen Image inpainting/outpainting
+- HiDream character consistency
+- SD 3.5 high-quality inpainting
+- Flux model inpainting (with low guidance)
+
+## Limitations
+
+- **Distillation Models:** Reduced performance on models like Flux.dev (use low guidance 1.0-2.0)
+- **Computation Time:** More thinking steps require more processing time
+- **Memory Usage:** May require significant GPU memory for high-resolution images
+
+## Training and Technical Details
+
+- **Training-free:** Works out-of-the-box with existing models
+- **No fine-tuning required:** Universal compatibility across model architectures
+- **Exact conditional inference:** Mathematically sound approach to inpainting
+- **Fast implementation:** Optimized for real-world usage
+
+## Evaluation
+
+LanPaint has been benchmarked against traditional inpainting methods:
+- VAE Encode for Inpainting
+- Set Latent Noise Mask
+- Standard KSampler approaches
+
+Results show significant improvements in:
+- Content consistency
+- Mask boundary handling
+- Overall image quality
+- Character preservation
+
+## Citation
+
+```bibtex
+@article{lanpaint2024,
+  title={LanPaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference},
+  author={LanPaint Team},
+  journal={arXiv preprint arXiv:2502.03491},
+  year={2024}
+}
+```
+
+## Additional Resources
+
+- [ComfyUI Documentation](https://docs.comfy.org/)
+- [LanPaintBench Repository](https://github.com/scraed/LanPaintBench)
+- [Blog Post](https://scraed.github.io/scraedBlog/)
+- [Community Examples](https://github.com/scraed/LanPaint/tree/master/examples)
+
+## License
+
+This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.