Here you can find various pages for guides, info and lessons learned

• For SD3 and Flux (gated models in general) training you need a read token from HuggingFace (In HF go in your settings and create a read token) and set it in as an environment variable named "HF_TOKEN". Other solutions exist like a Command line instruction (Discord discussion) or using a local copy (Discord discussion) of the HF folder.
• Caption tokens limit: actually, most of them are limited to 77 tokens (75 without start and end tokens) because of clip. The only exceptions are: pixart (alpha/sigma): 120, sana: 300. May change in the future.
• Common Mistakes Coming From Kohya If you're failing to get similar results that you could get in Kohya.
• Validation explained by its author

• Overview
• Diffusion Models
• Flux.1-Dev
• Chroma

• OneTrainer March 2024 Guide A more exhaustive guide on OneTrainer built as a checklist. Now outdated but still relevant in some points.
• Cloud Training The OT native and supported way of running on Runpod or any remote Linux server to train.
• Manually setup OneTrainer in Runpod Outdated since we now natively support it in the UI, but still an option.

Other Tools - Helpful Links

• Frequently Asked Questions
• Lessons Learnt and Tutorials