Error in SamplerCustomAdvanced: unexpected keyword argument 'intermediate_dtype' about comfyui

[onkelstony]

Probably the Lora-Problem: #4500

[comfyanonymous]

Try disabling this custom node for now: ComfyUI-Advanced-ControlNet

[NiNc-896]

Try disabling this custom node for now: ComfyUI-Advanced-ControlNet现在尝试禁用此自定义节点：ComfyUI-Advanced-ControlNet

I tried it, but it doesn't work. If the updated version is returned to the 19th, it will be normal.

[Tanglinling]

I got this error when matching both the 'kwaikolorswrapper' node and the 'ipadapter_plus' node

Error occurred when executing KSampler (Efficient):

ModelPatcher.calculate_weight() got an unexpected keyword argument 'intermediate_dtype'

File "D:\ComfyUI-aki-v1.3\execution.py", line 316, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\ComfyUI-aki-v1.3\execution.py", line 191, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "D:\ComfyUI-aki-v1.3\execution.py", line 168, in map_node_over_list
process_inputs(input_dict, i)
File "D:\ComfyUI-aki-v1.3\execution.py", line 157, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "D:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\nodes.py", line 1429, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\ComfyUI-aki-v1.3\nodes.py", line 1396, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\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 "D:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 420, in motion_sample
return orig_comfy_sample(model, noise, *args, **kwargs)
File "D:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
return orig_comfy_sample(model, *args, **kwargs)
File "D:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-BrushNet\model_patch.py", line 120, in modified_sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 1068, in sample_euler_cfg_pp
denoised = model(x, sigma_hat * s_in, **extra_args)
File "D:\ComfyUI-aki-v1.3\comfy\samplers.py", line 299, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\ComfyUI-aki-v1.3\comfy\samplers.py", line 682, in call
return self.predict_noise(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\ComfyUI-aki-v1.3\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
File "D:\ComfyUI-aki-v1.3\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:\ComfyUI-aki-v1.3\comfy\model_base.py", line 142, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
result = super().forward(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\custom_nodes\FreeU_Advanced\nodes.py", line 190, in __temp__forward
h = forward_timestep_embed(self.middle_block, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "D:\ComfyUI-aki-v1.3\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 694, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "D:\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "D:\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 621, in forward
n = self.attn2(n, context=context_attn2, value=value_attn2)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 467, in forward
k = self.to_k(context)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\comfy\ops.py", line 67, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
File "D:\ComfyUI-aki-v1.3\comfy\ops.py", line 62, in forward_comfy_cast_weights
weight, bias = cast_bias_weight(self, input)
File "D:\ComfyUI-aki-v1.3\comfy\ops.py", line 48, in cast_bias_weight
weight = s.weight_function(weight)
File "D:\ComfyUI-aki-v1.3\comfy\model_patcher.py", line 99, in call
return self.model_patcher.calculate_weight(self.model_patcher.patches[self.key], weight, self.key, intermediate_dtype=weight.dtype)

[DrMWeigand]

Can confirm that there is a problem with the latest comfyui version when using a flux lora. I'm getting the same error:

Error occurred when executing SamplerCustomAdvanced:

ModelPatcher.calculate_weight() got an unexpected keyword argument 'intermediate_dtype'

File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/execution.py", line 316, in execute
output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/execution.py", line 191, in get_output_data
return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/execution.py", line 168, in _map_node_over_list
process_inputs(input_dict, i)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/execution.py", line 157, in process_inputs
results.append(getattr(obj, func)(**inputs))
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy_extras/nodes_custom_sampler.py", line 612, in sample
samples = guider.sample(noise.generate_noise(latent), latent_image, sampler, sigmas, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise.seed)
File "/home/marvin/AI_Image/ComfyUIs/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 "/home/marvin/AI_Image/ComfyUIs/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 "/home/marvin/AI_Image/ComfyUIs/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 "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/utils/contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/k_diffusion/sampling.py", line 144, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/samplers.py", line 299, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/samplers.py", line 682, in call
return self.predict_noise(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/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 "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/.patches.py", line 4, in calc_cond_batch
return calc_cond_batch_original_tiled_diffusion_694dbdeb(model, conds, x_in, timestep, model_options)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
File "/home/marvin/AI_Image/ComfyUIs/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 "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/model_base.py", line 142, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ldm/flux/model.py", line 159, in forward
out = self.forward_orig(img, img_ids, context, txt_ids, timestep, y, guidance, control)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ldm/flux/model.py", line 130, in forward_orig
img = block(img, vec=vec, pe=pe)
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ldm/flux/layers.py", line 225, in forward
qkv, mlp = torch.split(self.linear1(x_mod), [3 * self.hidden_size, self.mlp_hidden_dim], dim=-1)
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/marvin/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ops.py", line 67, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ops.py", line 62, in forward_comfy_cast_weights
weight, bias = cast_bias_weight(self, input)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/ops.py", line 48, in cast_bias_weight
weight = s.weight_function(weight)
File "/home/marvin/AI_Image/ComfyUIs/ComfyUI/comfy/model_patcher.py", line 99, in call
return self.model_patcher.calculate_weight(self.model_patcher.patches[self.key], weight, self.key, intermediate_dtype=weight.dtype)

[DrMWeigand]

can confirm that at least commit 39f114c is working

[JasonJobsLi]

can confirm that at least commit 39f114c is working

yeah, version 20th and above will encounter this issue (with lora), now I'm at the 19th version and everything is fine

[caniyabanci76]

Odd. I'm having this problem on one machine, but not on the other - both updated to latest..

[zmwv823]

SD15 lora works well but sdxl failed, latest update.
Back to 19th commit everything is ok.

[Arthur9291619]

i have the same situation ,some times when i restart the comfyui it works,when i change different image then come out this error...i updated my comfyui today....

[caniyabanci76]

I deleted my venv, rebuilt it and reinstalled all dependencies, and is working again.
previously was using torch 2.3.0, is now on torch 2.4.0

[BlinkerHigh]

I have the same problem.
I get this error message after a few generations.

Should I wait for an update or revert? How to revert without having to reinstall everything?

[ltdrdata]

I have the same problem. I get this error message after a few generations.

Should I wait for an update or revert? How to revert without having to reinstall everything?

Downgrade numpy==1.26.4.

As many side effects have been occurring due to numpy being updated to the latest version(2.0), recent measures have been taken to ensure that numpy<2 is installed when setting up dependencies.