bdsqlsz

/

qinglong_controlnet-lllite

like 282

When trying to load the lineart model, it throws up an error on both A1111 Forge and Comfy, same on both:

got prompt
loaded C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\custom_nodes\ControlNet-LLLite-ComfyUI\models\controlnetxlCNXL_bdsqlszLineart.safetensors successfully, 136 modules
Requested to load SDXL
Loading 1 new model
0%| | 0/35 [00:00<?, ?it/s]
!!! Exception during processing !!!
Traceback (most recent call last):
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\Users\joshu\AppData\Roaming\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 "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\nodes.py", line 1369, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\nodes.py", line 1339, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 267, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 705, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 610, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 548, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\k_diffusion\sampling.py", line 154, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 286, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self.call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 273, in forward
return self.apply_model(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 270, in apply_model
out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 250, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond, x, timestep, model_options)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\samplers.py", line 224, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\model_base.py", line 96, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 850, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 633, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 460, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 191, in checkpoint
return func(*inputs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\comfy\ldm\modules\attention.py", line 499, in _forward
n, context_attn1, value_attn1 = p(n, context_attn1, value_attn1, extra_options)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\custom_nodes\ControlNet-LLLite-ComfyUI\node_control_net_lllite.py", line 111, in call
q = q + self.modulesmodule_pfx_to_q
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\joshu\AppData\Roaming\StabilityMatrix\Packages\ComfyUI\custom_nodes\ControlNet-LLLite-ComfyUI\node_control_net_lllite.py", line 243, in forward
cx = torch.cat([cx, self.down(x)], dim=1 if self.is_conv2d else 2)
RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 4209 but got size 4278 for tensor number 1 in the list.
Prompt executed in 2.63 seconds

Is this error caused by me not using the recommended model? I know kohya has issues with sdxl model training where it only works with the model it was made with but I'd like to know what's going on.