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license: agpl-3.0
tags:
- minecraft
- image-to-skin
- dense-uv
---
# Sking: Image To Minecraft Skin Generator
**Sking** is an image-to-Minecraft-skin generation model designed to transform character images, portraits, avatars, or concept art into Minecraft-style skin textures. Given a reference image, the model learns to preserve key visual features such as clothing, colors, hairstyle, and character identity while adapting them into the compact pixel-art structure used by Minecraft skins.
## SKING_DDJ_v101c β recommended production UV release (2026-09-16)
The portable v101c render-to-UV bundle is available in [`SKING_DDJ_v101c/`](SKING_DDJ_v101c). It contains privacy-sanitized inference checkpoints with tensor weights identical to the deployed v101 crown-geometry release, the trained foreground model, pinned offline dependencies, UV mappings, source code, checksums, and a portable launcher.
See the [v101c download and inference instructions](SKING_DDJ_v101c/README.md). Download the complete directory rather than only `parser.pt`. The older v104 release remains available below for reproducibility.
## SKING_DDJ_v104 β production UV release (2026-09-08)
The full v104 render-to-UV bundle is available in [`SKING_DDJ_v104/`](SKING_DDJ_v104). It includes the dense UV parser, trained foreground model, BiRefNet and SigLIP2 dependencies, pinned runtime, UV mappings, and a portable inference launcher. It produces a 64Γ64 RGBA Minecraft skin from the combined front/back edited render.
See the [v104 download and inference instructions](SKING_DDJ_v104/README.md). Download the complete directory rather than only `parser.pt`. Earlier model versions remain available below. The root `infer.py` is the earlier image-generation entry point; use `SKING_DDJ_v104/infer.py` for this release.
## π Resources
* **π Online Demo**: [EntropyDrop Web Portal](https://entropydrop.com)
* **ποΈ Dataset**: [Hugging Face Sking Dataset](https://huggingface.co/datasets/EntropyDrop/Sking)
* **π§ Trained Model**: [Hugging Face Sking Model](https://huggingface.co/EntropyDrop/Sking)
* **π Technical Report**: [Technical Architecture](https://entropydrop.com/public/blog/skingen)
* **YouTube**: [YouTube](https://youtu.be/n5t48aNm9Ew)
## Examples


























## Delopy locally
```
python ./infer.py
```
## License
This project is licensed under the GNU Affero General Public License v3.0 - see the [LICENSE](LICENSE) file for details.
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