ComfyUI IPAdapter V2 style transfer workflow automation  

Subscribed! Nice workflow, thank you

Nice tutorial, Thank you.

thank you! super helpful and just what i was looking for

Great workflow idea. Thanks. I had that same error with BatchCLIPSeg others mentioned. I found that it can be replaced with the CLIPSeg Masking (WAS Node Suite) node + ToBinaryMask (ImpactPack) node. That functions the same I think.

Thanks for the informative video! I am getting There was an error while executing BatchCLIPSeg: The input and output should have the same number of spatial dimensions, but the input received a tensor with spatial dimensions [1, 352, 352] and the output dimension is (832, 1216). Please provide the input tensor in the format (N, C, d1, d2, ...,dK) and the output dimension in the format (o1, o2, ...,oK). Can you tell me what I need to fix?

Fantastic workflow! But... where can I find the Batchclip-Node? The Manager dosn't find it.

at 1:52 where do I get this 1.5 model XL.safetensor and where do I put it? When I have the Load CLIP Vision up and use the pull down menu there is no model XL

Another question, what does "Stop_at_clip_layer -1" do?

Thanks for this. I get the same error with BatchClipSeg "Input and output must have the same number of spatial dimensions, but got input with spatial dimensions of [352] and output sise [832,1216]. Please provide input tensir in (N, C, d1, d2, ....,dk) format and output size in 9o1,o2, ...,oK) format"

Please make video on bg colour matching workflow ❤

"Error occurred when executing IPAdapterTiled: Error(s) in loading state_dict for Resampler: size mismatch for proj_in.weight: copying a param with shape torch.Size([1280, 1280]) from checkpoint, the shape in current model is torch.Size([1280, 1024])." :( I've been fighting with this for a week now, can you please help me? I've gotten it all the way to the end of the workflow, but i get that error at the "IPAdapter Tiled" node.

In the "IPAdapter Tiled" node I don't have the weight option for "Style Transfer (SDXL)" but i have "style transfer" and "style transfer strong." how do i get the "Style Transfer (SDXL)" option?

unfortunately i got the same error , Please provide input tensor in (N, C, d1, d2, ...,dK) , any updates ?

Short and on point, real awesome tutorial. Thanks for sharing!

Awesome work! Thanks for sharing!

Awesome tutorial! Thank you!😁

Great tutorial. Thank you.

problem Error occurred when executing BatchCLIPSeg: Input and output must have the same number of spatial dimensions, but got input with spatial dimensions of [1, 352, 352] and output size of (832, 1216). Please provide input tensor in (N, C, d1, d2, ...,dK) format and output size in (o1, o2, ...,oK) format. File "F:\ComfyUI_windows_portable_nvidia_cu121_or_cpu\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\ComfyUI_windows_portable_nvidia_cu121_or_cpu\ComfyUI_windows_portable\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:\ComfyUI_windows_portable_nvidia_cu121_or_cpu\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\ComfyUI_windows_portable_nvidia_cu121_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-KJNodes odes.py", line 2257, in segment_image resized_tensor = F.interpolate(tensor, size=(height, width), mode='bilinear', align_corners=False) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "F:\ComfyUI_windows_portable_nvidia_cu121_or_cpu\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch n\functional.py", line 3934, in interpolate raise ValueError(

Thanks for this amazing tutorial! I am running into error: Following your workflow once i run it I get error on BatchCLIPSeg: Error occurred when executing BatchCLIPSeg: Input and output must have the same number of spatial dimensions, but got input with spatial dimensions of [1, 352, 352] and output size of (832, 1216). Please provide input tensor in (N, C, d1, d2, ...,dK) format and output size in (o1, o2, ...,oK) format. Any idea how to fix?

Thanks for sharing!