---
license: apache-2.0
language:
- en
base_model:
- stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
tags:
- art
---
# SDXL-ProteusSigma Training with ZTSNR and NovelAI V3 Improvements
- [x] 10k dataset proof of concept (completed)[link](https://huggingface.co/dataautogpt3/ProteusSigma)
- [x] 500k+ dataset finetune (completed)
- [ ] 12M million dataset finetune (planned)
## Example Outputs
# Combined Proteus and Mobius datasets with ZTSNR and NovelAI V3 Improvements
## Model Details
- **Model Type:** SDXL Fine-tuned with ZTSNR and NovelAI V3 Improvements
- **Base Model:** stabilityai/stable-diffusion-xl-base-1.0
- **Training Dataset:** 500,000 high-quality images
- **License:** Apache 2.0
## Key Features
- Zero Terminal SNR (ZTSNR) implementation
- Increased σ_max ≈ 20000.0 (NovelAI research)
- High-resolution coherence enhancements
## Training Details
### Training Configuration
- **Learning Rate:** 4e-7
- **Batch Size:** 8
- **Gradient Accumulation Steps:** 8
- **Epochs:** 80
- **Optimizer:** AdamW
- **Precision:** bfloat16
## Repository and Resources
- **GitHub Repository:** [SDXL-Training-Improvements](https://github.com/DataCTE/SDXL-Training-Improvements)
- **Training Code:** Available in the repository
- **Documentation:** [Implementation Details](https://github.com/DataCTE/SDXL-Training-Improvements/blob/main/README.md)
- **Issues and Support:** [GitHub Issues](https://github.com/DataCTE/SDXL-Training-Improvements/issues)
## Citation
```bibtex
@article{ossa2024improvements,
title={Improvements to SDXL in NovelAI Diffusion V3},
author={Ossa, Juan and Doğan, Eren and Birch, Alex and Johnson, F.},
journal={arXiv preprint arXiv:2409.15997v2},
year={2024}
}
```