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If I understand the approach correctly the in blocks of SD 2.1 were frozen during training.
Yet, when I compare the weights between the checkpoint shared here vs the SD 2.1 on huggingface the weights, don't match. What am I missing?
For example the keys I am comparing from the 2 state dicts:
Anydoor checkpoint: model.diffusion_model.input_blocks.0.0.weight vs. SD 2.1 loaded as UNet2DConditionModel: conv_in.weight
The text was updated successfully, but these errors were encountered:
I figured out what was happening, the link in the README points to SD-v2.1 however you used SD-2.1-base. I recommend to update the README :)
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If I understand the approach correctly the in blocks of SD 2.1 were frozen during training.
Yet, when I compare the weights between the checkpoint shared here vs the SD 2.1 on huggingface the weights, don't match. What am I missing?
For example the keys I am comparing from the 2 state dicts:
Anydoor checkpoint: model.diffusion_model.input_blocks.0.0.weight
vs.
SD 2.1 loaded as UNet2DConditionModel: conv_in.weight
The text was updated successfully, but these errors were encountered: