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Hello, IP-Adapter is a great work. When I am reproducing the result and train tutorial_train.py, I find that when you use ./all_models/stable-diffusion-v1-5/ as the args.pretrained_model_name_or_path, the cross_attention_dim in Line 300 will None. This will call the original cross attention (AttnProcessor) but not IPAttnProcessor.
Therefor, I want to know that I want to train the IP-Adapter (IPAttnProcessor), how to set args.pretrained_model_name_or_path? Thank you!
The text was updated successfully, but these errors were encountered:
Hello, IP-Adapter is a great work. When I am reproducing the result and train tutorial_train.py, I find that when you use ./all_models/stable-diffusion-v1-5/ as the args.pretrained_model_name_or_path, the cross_attention_dim in Line 300 will None. This will call the original cross attention (AttnProcessor) but not IPAttnProcessor.
Therefor, I want to know that I want to train the IP-Adapter (IPAttnProcessor), how to set args.pretrained_model_name_or_path? Thank you!
The text was updated successfully, but these errors were encountered: