Error occurred when executing SUPIR_Upscale:

[trai78]

Error occurred when executing SUPIR_Upscale:

Error(s) in loading state_dict for SUPIRModel:
size mismatch for model.diffusion_model.input_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.input_blocks.4.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.5.1.proj_in.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([640, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.input_blocks.5.1.proj_out.weight: copying a param with shape torch.Size([640, 640, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.input_blocks.7.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.input_blocks.7.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.8.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.input_blocks.8.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.middle_block.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([1280, 2048]).
size mismatch for model.diffusion_model.middle_block.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1280]).
size mismatch for model.diffusion_model.output_blocks.2.0.in_layers.0.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1920]).
size mismatch for model.diffusion_model.output_blocks.2.0.in_layers.0.bias: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1920]).
size mismatch for model.diffusion_model.output_blocks.2.0.in_layers.2.weight: copying a param with shape torch.Size([1280, 2560, 3, 3]) from checkpoint, the shape in current model is torch.Size([1280, 1920, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.2.0.skip_connection.weight: copying a param with shape torch.Size([1280, 2560, 1, 1]) from checkpoint, the shape in current model is torch.Size([1280, 1920, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.3.0.in_layers.0.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1920]).
size mismatch for model.diffusion_model.output_blocks.3.0.in_layers.0.bias: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1920]).
size mismatch for model.diffusion_model.output_blocks.3.0.in_layers.2.weight: copying a param with shape torch.Size([1280, 2560, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 1920, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.3.0.in_layers.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.0.emb_layers.1.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 1280]).
size mismatch for model.diffusion_model.output_blocks.3.0.emb_layers.1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.0.out_layers.0.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.0.out_layers.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.0.out_layers.3.weight: copying a param with shape torch.Size([1280, 1280, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.3.0.out_layers.3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.0.skip_connection.weight: copying a param with shape torch.Size([1280, 2560, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 1920, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.3.0.skip_connection.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.norm.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.norm.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_in.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight: copying a param with shape torch.Size([10240, 1280]) from checkpoint, the shape in current model is torch.Size([5120, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.bias: copying a param with shape torch.Size([10240]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.weight: copying a param with shape torch.Size([1280, 5120]) from checkpoint, the shape in current model is torch.Size([640, 2560]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm1.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.3.1.proj_out.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.in_layers.0.weight: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for model.diffusion_model.output_blocks.4.0.in_layers.0.bias: copying a param with shape torch.Size([2560]) from checkpoint, the shape in current model is torch.Size([1280]).
size mismatch for model.diffusion_model.output_blocks.4.0.in_layers.2.weight: copying a param with shape torch.Size([1280, 2560, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 1280, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.4.0.in_layers.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.emb_layers.1.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 1280]).
size mismatch for model.diffusion_model.output_blocks.4.0.emb_layers.1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.out_layers.0.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.out_layers.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.out_layers.3.weight: copying a param with shape torch.Size([1280, 1280, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.4.0.out_layers.3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.0.skip_connection.weight: copying a param with shape torch.Size([1280, 2560, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 1280, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.4.0.skip_connection.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.norm.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.norm.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_in.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight: copying a param with shape torch.Size([10240, 1280]) from checkpoint, the shape in current model is torch.Size([5120, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.bias: copying a param with shape torch.Size([10240]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight: copying a param with shape torch.Size([1280, 5120]) from checkpoint, the shape in current model is torch.Size([640, 2560]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.4.1.proj_out.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.in_layers.0.weight: copying a param with shape torch.Size([1920]) from checkpoint, the shape in current model is torch.Size([960]).
size mismatch for model.diffusion_model.output_blocks.5.0.in_layers.0.bias: copying a param with shape torch.Size([1920]) from checkpoint, the shape in current model is torch.Size([960]).
size mismatch for model.diffusion_model.output_blocks.5.0.in_layers.2.weight: copying a param with shape torch.Size([1280, 1920, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 960, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.5.0.in_layers.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.emb_layers.1.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 1280]).
size mismatch for model.diffusion_model.output_blocks.5.0.emb_layers.1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.out_layers.0.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.out_layers.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.out_layers.3.weight: copying a param with shape torch.Size([1280, 1280, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.5.0.out_layers.3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.0.skip_connection.weight: copying a param with shape torch.Size([1280, 1920, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 960, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.5.0.skip_connection.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.norm.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.norm.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_in.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_in.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight: copying a param with shape torch.Size([10240, 1280]) from checkpoint, the shape in current model is torch.Size([5120, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.bias: copying a param with shape torch.Size([10240]) from checkpoint, the shape in current model is torch.Size([5120]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.weight: copying a param with shape torch.Size([1280, 5120]) from checkpoint, the shape in current model is torch.Size([640, 2560]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight: copying a param with shape torch.Size([1280, 768]) from checkpoint, the shape in current model is torch.Size([640, 2048]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_out.weight: copying a param with shape torch.Size([1280, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([640, 640]).
size mismatch for model.diffusion_model.output_blocks.5.1.proj_out.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.5.2.conv.weight: copying a param with shape torch.Size([1280, 1280, 3, 3]) from checkpoint, the shape in current model is torch.Size([640, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.5.2.conv.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.6.0.in_layers.0.weight: copying a param with shape torch.Size([1920]) from checkpoint, the shape in current model is torch.Size([960]).
size mismatch for model.diffusion_model.output_blocks.6.0.in_layers.0.bias: copying a param with shape torch.Size([1920]) from checkpoint, the shape in current model is torch.Size([960]).
size mismatch for model.diffusion_model.output_blocks.6.0.in_layers.2.weight: copying a param with shape torch.Size([640, 1920, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 960, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.6.0.in_layers.2.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.6.0.emb_layers.1.weight: copying a param with shape torch.Size([640, 1280]) from checkpoint, the shape in current model is torch.Size([320, 1280]).
size mismatch for model.diffusion_model.output_blocks.6.0.emb_layers.1.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.6.0.out_layers.0.weight: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.6.0.out_layers.0.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.6.0.out_layers.3.weight: copying a param with shape torch.Size([640, 640, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 320, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.6.0.out_layers.3.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.6.0.skip_connection.weight: copying a param with shape torch.Size([640, 1920, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 960, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.6.0.skip_connection.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.in_layers.0.weight: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.7.0.in_layers.0.bias: copying a param with shape torch.Size([1280]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.7.0.in_layers.2.weight: copying a param with shape torch.Size([640, 1280, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.7.0.in_layers.2.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.emb_layers.1.weight: copying a param with shape torch.Size([640, 1280]) from checkpoint, the shape in current model is torch.Size([320, 1280]).
size mismatch for model.diffusion_model.output_blocks.7.0.emb_layers.1.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.out_layers.0.weight: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.out_layers.0.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.out_layers.3.weight: copying a param with shape torch.Size([640, 640, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 320, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.7.0.out_layers.3.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.7.0.skip_connection.weight: copying a param with shape torch.Size([640, 1280, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 640, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.7.0.skip_connection.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.in_layers.0.weight: copying a param with shape torch.Size([960]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.8.0.in_layers.0.bias: copying a param with shape torch.Size([960]) from checkpoint, the shape in current model is torch.Size([640]).
size mismatch for model.diffusion_model.output_blocks.8.0.in_layers.2.weight: copying a param with shape torch.Size([640, 960, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 640, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.8.0.in_layers.2.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.emb_layers.1.weight: copying a param with shape torch.Size([640, 1280]) from checkpoint, the shape in current model is torch.Size([320, 1280]).
size mismatch for model.diffusion_model.output_blocks.8.0.emb_layers.1.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.out_layers.0.weight: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.out_layers.0.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.out_layers.3.weight: copying a param with shape torch.Size([640, 640, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 320, 3, 3]).
size mismatch for model.diffusion_model.output_blocks.8.0.out_layers.3.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).
size mismatch for model.diffusion_model.output_blocks.8.0.skip_connection.weight: copying a param with shape torch.Size([640, 960, 1, 1]) from checkpoint, the shape in current model is torch.Size([320, 640, 1, 1]).
size mismatch for model.diffusion_model.output_blocks.8.0.skip_connection.bias: copying a param with shape torch.Size([640]) from checkpoint, the shape in current model is torch.Size([320]).

File "F:\StabilityMatrix\Packages\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "F:\StabilityMatrix\Packages\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "F:\StabilityMatrix\Packages\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "F:\StabilityMatrix\Packages\ComfyUI\custom_nodes\ComfyUI-SUPIR\nodes.py", line 252, in process
self.model.load_state_dict(sdxl_state_dict, strict=False)
File "F:\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 2189, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(

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