asagi4 / comfyui-prompt-control

ComfyUI nodes for prompt editing and LoRA control

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nodes don't work with SDXL

BurningSpy opened this issue · comments

Hi,

When I use the nodes with an SDXL model i get the following error:

Error occurred when executing ScheduleToCond:

list indices must be integers or slices, not str

File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\AI-Images\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 "C:\AI-Images\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 "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-control\prompt_control\node_clip.py", line 148, in apply
r = (control_to_clip_common(self, clip, prompt_schedule),)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-control\prompt_control\node_clip.py", line 330, in control_to_clip_common
cond = encode(c)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-control\prompt_control\node_clip.py", line 302, in encode
cond_cache[cachekey] = do_encode(clip, prompt)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-control\prompt_control\node_clip.py", line 221, in do_encode
cond, pooled = encode_prompt(clip, prompts[0], style, normalization)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-prompt-control\prompt_control\node_clip.py", line 213, in encode_prompt
return clip.encode_from_tokens(tokens, return_pooled=True)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 586, in encode_from_tokens
cond, pooled = self.cond_stage_model.encode_token_weights(tokens)
File "C:\AI-Images\ComfyUI_windows_portable\ComfyUI\comfy\sdxl_clip.py", line 60, in encode_token_weights
token_weight_pairs_g = token_weight_pairs["g"]

Not sure if it is planned to make it support SDXL, but if not a hint in the docu would be great ;)
thanks!

commented

Yeah there's probably some special stuff that needs doing if SDXL is in use. I just haven't gotten around to implementing it.

commented

I added enough support for SDXL that it no longer throws exceptions when used, at least for me. Full support would require an SDXL-specific node, I think, but I'm resolving this for now.

So to confirm, this does not work with SDXL?