fix sd 2.0/2.1 lora fine-tuning text encoder params mismatch issue by updating model_util.py #636
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Fix sd 2.0/2.1 lora fine-tuning text encoder params mismatch issue. With the original text encoder and its corresponding parser, stable diffusion 2.0/2.1/2.1-unclip all cannot be properly loaded due to the text encoder transformer version difference and checkpoints' state_dict key name difference. After this fix, all these three versions are tested to work well when executing lora fine tuning. Release it here as SD 2.x version has a 1024 text embedding, which is unique and a must for many related projects, like ImageBind-related works.
miracleyoo
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Passed the Lora fine-tuning trial using the following SD base models: |
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Fix sd 2.0/2.1 lora fine-tuning text encoder params mismatch issue. With the original text encoder and its corresponding parser, stable diffusion 2.0/2.1/2.1-unclip all cannot be properly loaded due to the text encoder transformer version difference and checkpoints' state_dict key name difference. After this fix, all these three versions are tested to work well when executing lora fine tuning. Release it here as SD 2.x version has a 1024 text embedding, which is unique and a must for many related projects, like ImageBind-related works.