Model Configuration Guide

Here you define the base model you use for training and the output model you want to achieve. model

Base Model (default: hugging face link to base): either provide the path of a saved base model or provide a link to it in the huggingface format (example: stabilityai/stable-diffusion-xl-base-1.0).
Vae (default: blank): If you want to use a custom VAE, it must be a huggingface link (example: madebyollin/sdxl-vae-fp16-fix).
Model Output destination: set any local folder with its name and type (e.g., C:/OneTrainer/Output/xxx.safetensors). Note - models that produce diffusor outputs expect a directory, not a safetensor file. This currently includes Pixart Alpha.
Output Format (default: safetensors): Here you can choose between the default safetensors and the optional checkpoint format.
Data Type: 4 options are available. From the least to most precise they are: float8, bfloat16, float16, and float32. The more precision you use, the more VRAM you will require to load the weights.

Recommended Values for DType Usage (To be checked, work in progress)

DType for	Fine Tune	LoRA	Embedding	Fine Tune VAE	Comment
Output	All	All	All	All	Comment
Weight	All	All	All	All	Comment
Override Text Encoder	float32	All	Not relevant	Not relevant	Comment
Override Unet	All	All	Not relevant	Not relevant	Comment
Override VAE	float32, bfloat16	float32, bfloat16	float32, bfloat16	float32, bfloat16	Comment

If all samples are black, try to set the VAE data type to float32 or bfloat16, or use the VAE override to load the fixed VAE.

Note: The presets (top left dropdown: #SD1.5 LoRA, #SD1.5 Embedding, …) will set up default values, you can stick to them, they are working.