SDXL-ProteusSigma Training with ZTSNR and NovelAI V3 Improvements

• 10k dataset proof of concept (completed)

• 500k+ dataset finetune (completed) [Note: not aesthetically tuned whatsoever]

• 12M million dataset finetune (planned)

ProteusΣ

ProteusΣ

Example Outputs

Combined Proteus and Mobius datasets with ZTSNR and NovelAI V3 Improvements

CUSTOM INFERENCE IS REQUIRED FOR BEST RESULTS!

https://github.com/DataCTE/SDXL-Training-Improvements/tree/main/Comfyui-zsnrnode

use this comfyui custom node from the training repo.

and the workflow here: https://github.com/DataCTE/SDXL-Training-Improvements/blob/main/Comfyui-zsnrnode/ztsnr%2Bv-pred.json

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
• Training Code: Available in the repository
• Documentation: Implementation Details
• Issues and Support: GitHub Issues

Citation

@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}
}