Troubleshooting LoRA Training on Stable Diffusion with CUDA Errors
Published:Dec 28, 2025 12:08
•1 min read
•r/StableDiffusion
Analysis
This Reddit post describes a user's experience troubleshooting LoRA training for Stable Diffusion. The user is encountering CUDA errors while training a LoRA model using Kohya_ss with a Juggernaut XL v9 model and a 5060 Ti GPU. They have tried various overclocking and power limiting configurations to address the errors, but the training process continues to fail, particularly during safetensor file generation. The post highlights the challenges of optimizing GPU settings for stable LoRA training and seeks advice from the Stable Diffusion community on resolving the CUDA-related issues and completing the training process successfully. The user provides detailed information about their hardware, software, and training parameters, making it easier for others to offer targeted suggestions.
Key Takeaways
- •CUDA errors are a common issue in LoRA training, especially with limited VRAM.
- •Overclocking can sometimes exacerbate CUDA errors if not done carefully.
- •Monitoring GPU temperature and power consumption is crucial for stable training.
Reference
“It was on the last step of the first epoch, generating the safetensor file, when the workout ended due to a CUDA failure.”