[Bug]: Error occurred when executing LayeredDiffusionDecodeRGBA about comfyui-layerdiffuse HOT 7 OPEN

hi the fix is as follows: the empty latent image batch_size should be equal to sub_batch_size in layer diffuse deocde( RGBA)......here in your case.....you should change the empty latent image batch_size to 16 or change sub_batch_size in layer diffuse deocde( RGBA) to 1

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I don't think sub batch size is the issue. This tensor mismatch issue mostly comes from input image size don't match generation target size.

from comfyui-layerdiffuse.

hi the fix is as follows: the empty latent image batch_size should be equal to sub_batch_size in layer diffuse deocde( RGBA)......here in your case.....you should change the empty latent image batch_size to 16 or change sub_batch_size in layer diffuse deocde( RGBA) to 1

I changed sub_batch_size in layer diffuse deocde( RGBA) to 1，it didn't work, still have the same error .

from comfyui-layerdiffuse.

I don't think sub batch size is the issue. This tensor mismatch issue mostly comes from input image size don't match generation target size.

The size I filled in Empty Latent Image is the same as the size of the image I uploaded. And from the generation results, the image with gray background is normally generated, but the generation of transparent background is an error.

from comfyui-layerdiffuse.

Can you try to use https://github.com/layerdiffusion/sd-forge-layerdiffuse for the same task? I would like to know whether this issue is ComfyUI-only.

from comfyui-layerdiffuse.

i also got following error when try to run the example workflow:

ERROR:root:Traceback (most recent call last):
File "ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "ComfyUI\custom_nodes\ComfyUI-layerdiffusion\layered_diffusion.py", line 170, in decode
image, mask = super().decode(samples, images, sub_batch_size)
File "ComfyUI\custom_nodes\ComfyUI-layerdiffusion\layered_diffusion.py", line 127, in decode
self.vae_transparent_decoder = TransparentVAEDecoder(
File "ComfyUI\custom_nodes\ComfyUI-layerdiffusion\lib_layerdiffusion\models.py", line 241, in init
model = UNet1024(in_channels=3, out_channels=4)
File "python_embeded\lib\site-packages\diffusers\configuration_utils.py", line 636, in inner_init
init(self, *args, **init_kwargs)
File "ComfyUI\custom_nodes\ComfyUI-layerdiffusion\lib_layerdiffusion\models.py", line 130, in init
self.mid_block = UNetMidBlock2D(
TypeError: UNetMidBlock2D.init() got an unexpected keyword argument 'attn_groups'

from comfyui-layerdiffuse.

Can you try to use https://github.com/layerdiffusion/sd-forge-layerdiffuse for the same task? I would like to know whether this issue is ComfyUI-only.

yes , I've used it in webui forge and it works fine, but not in comfyui

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