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huchenlei / ComfyUI-layerdiffuse

Layer Diffuse custom nodes
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[Bug]: Inference tensors do not track version counter. #103

Open designex opened 2 months ago

designex commented 2 months ago

What happened?

微信截图_20240826183956

Error occurred when executing KSampler (Efficient):

Inference tensors do not track version counter.

File "D:\ComyUI2024\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\ComyUI2024\ComfyUI\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\ComyUI2024\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\ComyUI2024\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 732, in sample samples, images, gifs, preview = process_latent_image(model, seed, steps, cfg, sampler_name, scheduler, File "D:\ComyUI2024\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 550, in process_latent_image samples = KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, File "D:\ComyUI2024\ComfyUI\nodes.py", line 1382, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\ComyUI2024\ComfyUI\nodes.py", line 1352, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample raise e File "D:\ComyUI2024\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 "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 434, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample return orig_comfy_sample(model, *args, kwargs) File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 116, in uncond_multiplier_check_cn_sample return orig_comfy_sample(model, args, kwargs) File "D:\ComyUI2024\ComfyUI\comfy\sample.py", line 43, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 829, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 716, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 695, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 600, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "D:\ComyUI2024\ComfyUI\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m denoised = model(x, sigmas[i] * s_in, extra_args) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 682, in call return self.predict_noise(args, kwargs) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 685, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 68, in apply_model_uncond_cleanup_wrapper return orig_apply_model(self, args, kwargs) File "D:\ComyUI2024\ComfyUI\comfy\model_base.py", line 145, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "D:\ComyUI2024\ComfyUI\custom_nodes\FreeU_Advanced\nodes.py", line 176, in tempforward 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 "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 581, in forward n = self.attn1(n, context=context_attn1, value=value_attn1) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 465, in forward q = self.to_q(x) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "D:\ComyUI2024\ComfyUI\comfy\ops.py", line 65, in forward return super().forward(args, kwargs) File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward return F.linear(input, self.weight, self.bias)

Steps to reproduce the problem

After generating the image once, this error occurs.

What should have happened?

Pop up error message

Commit where the problem happens

ComfyUI: ComfyUI-layerdiffuse:

Sysinfo

none

Console logs

Error occurred when executing KSampler (Efficient):

Inference tensors do not track version counter.

File "D:\ComyUI2024\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\ComyUI2024\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\ComyUI2024\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\ComyUI2024\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 732, in sample
samples, images, gifs, preview = process_latent_image(model, seed, steps, cfg, sampler_name, scheduler,
File "D:\ComyUI2024\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 550, in process_latent_image
samples = KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative,
File "D:\ComyUI2024\ComfyUI\nodes.py", line 1382, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\ComyUI2024\ComfyUI\nodes.py", line 1352, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
raise e
File "D:\ComyUI2024\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 "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 434, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 116, in uncond_multiplier_check_cn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\sample.py", line 43, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 829, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 600, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 299, in __call__
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 682, in __call__
return self.predict_noise(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 685, 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 "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\ComyUI2024\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 68, in apply_model_uncond_cleanup_wrapper
return orig_apply_model(self, *args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\model_base.py", line 145, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\custom_nodes\FreeU_Advanced\nodes.py", line 176, in __temp__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 "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 694, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 581, in forward
n = self.attn1(n, context=context_attn1, value=value_attn1)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\ldm\modules\attention.py", line 465, in forward
q = self.to_q(x)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\comfy\ops.py", line 65, in forward
return super().forward(*args, **kwargs)
File "D:\ComyUI2024\ComfyUI\python\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)

Workflow json file

workflow (1).json

Additional information

No response

HajunKim commented 1 month ago

same here