The Auto setting didn't work (Exception: Can't guess 'Firstpass network type', please set it up manually), so I tried SDXL, and I get this error:
Error in UI:
RuntimeError: Error(s) in loading state_dict for LatentDiffusion: size mismatch for first_stage_model.encoder.conv_out.weight: copying a param with shape torch.Size([32, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([8, 512, 3, 3]). size mismatch for first_stage_model.encoder.conv_out.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([8]). size mismatch for first_stage_model.decoder.conv_in.weight: copying a param with shape torch.Size([512, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 4, 3, 3]).
Error in CLI:
File "/home/hunter/Projects/ai/stable-diffusion-webui-debug/modules/sd_disable_initialization.py", line 223, in <lambda>
module_load_state_dict = self.replace(torch.nn.Module, 'load_state_dict', lambda *args, **kwargs: load_state_dict(module_load_state_dict, *args, **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/hunter/Projects/ai/stable-diffusion-webui-debug/modules/sd_disable_initialization.py", line 221, in load_state_dict
original(module, state_dict, strict=strict)
File "/home/hunter/Projects/ai/stable-diffusion-webui-debug/venv/lib/python3.12/site-packages/torch/nn/modules/module.py", line 2191, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for LatentDiffusion:
size mismatch for first_stage_model.encoder.conv_out.weight: copying a param with shape torch.Size([32, 512, 3, 3]) from checkpoint, the shape in current model is torch.Size([8, 512, 3, 3]).
size mismatch for first_stage_model.encoder.conv_out.bias: copying a param with shape torch.Size([32]) from checkpoint, the shape in current model is torch.Size([8]).
size mismatch for first_stage_model.decoder.conv_in.weight: copying a param with shape torch.Size([512, 16, 3, 3]) from checkpoint, the shape in current model is torch.Size([512, 4, 3, 3]).
Firstpass model is stableDiffusion3SD3_sd3Medium.safetensors
The Auto setting didn't work (
Exception: Can't guess 'Firstpass network type', please set it up manually
), so I tried SDXL, and I get this error:Error in UI:
Error in CLI:
Firstpass model is
stableDiffusion3SD3_sd3Medium.safetensors