Error reported when using TGate #9
Description
Traceback (most recent call last):
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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\80677\Desktop\ComfyUI-aki-v1.3\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 713, in sample
samples, images, gifs, preview = process_latent_image(model, seed, steps, cfg, sampler_name, scheduler,
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 533, in process_latent_image
samples = KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative,
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\nodes.py", line 1344, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\nodes.py", line 1314, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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 "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 248, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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 "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 755, 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\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 657, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 644, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 623, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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 "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 272, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 610, in call
return self.predict_noise(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 613, 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 "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_TGate\TGate.py", line 145, in wrapper
return fn(
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 258, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\samplers.py", line 218, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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 "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\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\80677\Desktop\ComfyUI-aki-v1.3\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 633, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 460, in forward
return checkpoint(self._forward, (x, context, transformer_options), self.parameters(), self.checkpoint)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\comfy\ldm\modules\diffusionmodules\util.py", line 191, in checkpoint
return func(*inputs)
File "C:\Users\80677\Desktop\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_TGate\TGate.py", line 87, in tgate_forward
uncond, cond = n.chunk(2)
ValueError: not enough values to unpack (expected 2, got 1)