mirror of https://github.com/bmaltais/kohya_ss
26 lines
1.0 KiB
Markdown
26 lines
1.0 KiB
Markdown
# LoRA Resource Guide
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This guide is a resource compilation to facilitate the development of robust LoRA models.
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Access EDG's tutorials here: https://ko-fi.com/post/EDGs-tutorials-P5P6KT5MT
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## Guidelines for SDXL LoRA Training
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- Set the `Max resolution` to at least 1024x1024, as this is the standard resolution for SDXL.
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- Use a GPU that has at least 12GB memory for the LoRA training process.
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- We strongly recommend using the `--network_train_unet_only` option for SDXL LoRA to avoid unforeseen training results caused by dual text encoders in SDXL.
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- PyTorch 2 tends to use less GPU memory than PyTorch 1.
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Here's an example configuration for the Adafactor optimizer with a fixed learning rate:
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```
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optimizer_type = "adafactor"
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optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False" ]
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lr_scheduler = "constant_with_warmup"
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lr_warmup_steps = 100
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learning_rate = 4e-7 # This is the standard learning rate for SDXL
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```
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## Resource Contributions
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If you have valuable resources to add, kindly create a PR on Github. |