Open kakachiex2 opened 3 months ago
I have multi lora stack too WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.proj_in.weight WEIGHT NOT MERGED torch.Size([1280, 1280, 1, 1]) != torch.Size([640]) ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 ERROR lokr diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[640]' is invalid for input of size 409600 WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.proj_in.weight WEIGHT NOT MERGED torch.Size([1280, 1280, 1, 1]) != torch.Size([640, 640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.weight WEIGHT NOT MERGED torch.Size([1280]) != torch.Size([640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.weight WEIGHT NOT MERGED torch.Size([1280]) != torch.Size([640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight WEIGHT NOT MERGED torch.Size([1280, 1280]) != torch.Size([640, 640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight WEIGHT NOT MERGED torch.Size([1280, 1280]) != torch.Size([640, 640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight WEIGHT NOT MERGED torch.Size([1280, 1280]) != torch.Size([640, 640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight WEIGHT NOT MERGED torch.Size([640, 640]) != torch.Size([640]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight WEIGHT NOT MERGED torch.Size([1280, 1280]) != torch.Size([640]) ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight shape '[640]' is invalid for input of size 409600
During the generation process it throw all this errors it generates the first image but when I generate again it create a noised image.
This behavior happens with all model merge node including CRModel merge this wasn't happening before
I'm getting this error when using CR Model Merge workflow, it wasn't happening before yesterday start see this error.
WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.in_layers.2.weight WEIGHT NOT MERGED torch.Size([320, 640, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.in_layers.2.weight WEIGHT NOT MERGED torch.Size([320, 640, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.emb_layers.1.weight WEIGHT NOT MERGED torch.Size([320, 1280]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.emb_layers.1.weight WEIGHT NOT MERGED torch.Size([320, 1280]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.out_layers.3.weight WEIGHT NOT MERGED torch.Size([320, 320, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.out_layers.3.weight WEIGHT NOT MERGED torch.Size([320, 320, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.skip_connection.weight WEIGHT NOT MERGED torch.Size([320, 640, 1, 1]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.7.0.skip_connection.weight WEIGHT NOT MERGED torch.Size([320, 640, 1, 1]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.in_layers.2.weight WEIGHT NOT MERGED torch.Size([320, 640, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.in_layers.2.weight WEIGHT NOT MERGED torch.Size([320, 640, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.emb_layers.1.weight WEIGHT NOT MERGED torch.Size([320, 1280]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.emb_layers.1.weight WEIGHT NOT MERGED torch.Size([320, 1280]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.out_layers.3.weight WEIGHT NOT MERGED torch.Size([320, 320, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.out_layers.3.weight WEIGHT NOT MERGED torch.Size([320, 320, 3, 3]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.skip_connection.weight WEIGHT NOT MERGED torch.Size([320, 640, 1, 1]) != torch.Size([320]) WARNING SHAPE MISMATCH diffusion_model.output_blocks.8.0.skip_connection.weight WEIGHT NOT MERGED torch.Size([320, 640, 1, 1]) != torch.Size([320])