ComfyUI_TGate
ComfyUI_TGate copied to clipboard
Published
1 year ago
•
JettHu
JettHu
Failure when used with Ultimate SD Upscale
Depending on tile size, I get this with Ultimate SD Upscale + T-Gate:
!!! Exception during processing!!! The size of tensor a (4608) must match the size of tensor b (4352) at non-singleton dimension 1
Traceback (most recent call last):
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/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 "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/nodes.py", line 125, in upscale
processed = script.run(p=sdprocessing, _=None, tile_width=tile_width, tile_height=tile_height,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/repositories/ultimate_sd_upscale/scripts/ultimate-upscale.py", line 553, in run
upscaler.process()
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/repositories/ultimate_sd_upscale/scripts/ultimate-upscale.py", line 136, in process
self.image = self.redraw.start(self.p, self.image, self.rows, self.cols)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/repositories/ultimate_sd_upscale/scripts/ultimate-upscale.py", line 243, in start
return self.linear_process(p, image, rows, cols)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/repositories/ultimate_sd_upscale/scripts/ultimate-upscale.py", line 178, in linear_process
processed = processing.process_images(p)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_UltimateSDUpscale/modules/processing.py", line 122, in process_images
(samples,) = common_ksampler(p.model, p.seed, p.steps, p.cfg, p.sampler_name,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/animatediff/sampling.py", line 313, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 22, in informative_sample
raise e
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-Advanced-ControlNet/adv_control/control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/sample.py", line 37, in sample
samples = sampler.sample(noise, positive, negative, 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 "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1441, in KSampler_sample
return _KSampler_sample(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 761, 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 "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1464, in sample
return _sample(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 663, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 650, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 629, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 534, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/k_diffusion/sampling.py", line 154, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 272, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 987, in __call__
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_smZNodes/smZNodes.py", line 1037, in predict_noise
out = super().predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 619, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_TGate/TGate.py", line 148, in wrapper
return fn(
^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/samplers.py", line 258, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/.patches.py", line 89, in calc_cond_batch
output = model_options['model_function_wrapper'](model.apply_model, {"input": input_x, "timestep": timestep_, "c": c, "cond_or_uncond": cond_or_uncond}).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/tiled_diffusion.py", line 553, in __call__
x_tile_out = model_function(x_tile, t_tile, **c_tile)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/model_base.py", line 97, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/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 "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/ldm/modules/attention.py", line 633, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/jeff/.virtualenvs/comfy312/lib/python3.12/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI-layerdiffusion/lib_layerdiffusion/attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/ldm/modules/attention.py", line 460, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/comfy/ldm/modules/diffusionmodules/util.py", line 191, in checkpoint
return func(*inputs)
^^^^^^^^^^^^^
File "/net/dj/code/clones/github.com/comfyanonymous/ComfyUI/custom_nodes/ComfyUI_TGate/TGate.py", line 126, in tgate_forward
x += n
RuntimeError: The size of tensor a (4608) must match the size of tensor b (4352) at non-singleton dimension 1
I was able to complete one run with tile size 1024x1024, but not a second run. The first tile processes and then that error occurs. With a bunch of other tile sizes I tried, that error occurs on the first tile.
It seems to be incompatible with ComfyUI-TiledDiffusion. Need to consider whether to support.
I didn't know they could be used together since ultimate upscale already tiles the image if toggled.
