when run ic-light/example, Ksampler have err:: alculate_weight() got an unexpected keyword argument 'intermediate_dtype'

[maxstewm]

I run the ic-light/exampls/ic_light_simple_light_multi_02
but have the Ksampler erro: "alculate_weight() got an unexpected keyword argument 'intermediate_dtype'"

I tried for a long time, but always got this error

please help

Computer configuration

---

.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --force-fp16 --front-end-version Comfy-Org/ComfyUI_frontend@latest
[START] Security scan
[DONE] Security scan

ComfyUI-Manager: installing dependencies done.

** ComfyUI startup time: 2024-08-30 13:12:25.015750
** Platform: Windows
** Python version: 3.11.9 (tags/v3.11.9:de54cf5, Apr 2 2024, 10:12:12) [MSC v.1938 64 bit (AMD64)]
** Python executable: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\python.exe
** ComfyUI Path: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI
** Log path: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\comfyui.log

Prestartup times for custom nodes:
0.0 seconds: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Easy-Use
0.0 seconds: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy
2.5 seconds: F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Manager

Total VRAM 3072 MB, total RAM 32452 MB
pytorch version: 2.4.0+cu121
Forcing FP16.
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce GTX 1060 3GB : cudaMallocAsync
Using pytorch cross attention

---

---

got prompt
model weight dtype torch.float16, manual cast: None
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: huggingface/transformers#31884
warnings.warn(
LoadAndApplyICLightUnet: Checking IC-Light Unet path
LoadAndApplyICLightUnet: Loading IC-Light Unet weights
LoadAndApplyICLightUnet: Attempting to add patches with IC-Light Unet weights
LoadAndApplyICLightUnet: Added LoadICLightUnet patches
Requested to load SD1ClipModel
Loading 1 new model
loaded completely 0.0 235.84423828125 True
Requested to load AutoencoderKL
Loading 1 new model
loaded completely 0.0 319.11416244506836 True
Unloading models for lowram load.
0 models unloaded.
Requested to load BaseModel
Loading 1 new model
WARNING SHAPE MISMATCH diffusion_model.input_blocks.0.0.weight WEIGHT NOT MERGED torch.Size([320, 8, 3, 3]) != torch.Size([320, 4, 3, 3])
IC-Light: Merged with diffusion_model.input_blocks.0.0.weight channel changed from torch.Size([320, 4, 3, 3]) to [320, 8, 3, 3]
loaded partially 1181.349889945984 1181.2292556762695 200
0%| | 0/25 [00:00<?, ?it/s]
!!! Exception during processing !!! calculate_weight() got an unexpected keyword argument 'intermediate_dtype'
Traceback (most recent call last):
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 317, 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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 192, 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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in map_node_over_list
process_inputs(input_dict, i)
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in process_inputs
results.append(getattr(obj, func)(**inputs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1429, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1396, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 116, in acn_sample
return orig_comfy_sample(model, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 144, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 299, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 682, in call
return self.predict_noise(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep, **c).chunk(batch_chunks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 887, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, output_shape, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 38, in forward_timestep_embed
x = layer(x, emb)
^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 230, in forward
return checkpoint(
^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 191, in checkpoint
return func(*inputs)
^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 243, in _forward
h = self.in_layers(x)
^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\container.py", line 219, in forward
input = module(input)
^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\nn\modules\module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 104, in forward
return self.forward_comfy_cast_weights(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 99, in forward_comfy_cast_weights
weight, bias = cast_bias_weight(self, input)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\ops.py", line 52, in cast_bias_weight
bias = s.bias_function(bias)
^^^^^^^^^^^^^^^^^^^^^
File "F:\maxste\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\model_patcher.py", line 100, in call
return comfy.lora.calculate_weight(self.patches[self.key], weight, self.key, intermediate_dtype=weight.dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: calculate_weight() got an unexpected keyword argument 'intermediate_dtype'

Prompt executed in 69.23 seconds

[maxstewm]

diffusers-0.31.0.dev0

[kijai]

Your ComfyUI itself is out of date.

[maxstewm]

Thanks for reply。
it mean i must download new comfyui ?

[kijai]

Thanks for reply。 it mean i must download new comfyui ?

Or just update it using the scripts in the ComfyUI_windows_portable\update -folder

[maxstewm]

thx so so much .
I git clone the latest comfyui version, set up a new venv environment, and re-download the nodes, and there is no problem.

[maxstewm]

I found the cause of the problem. Today I downgraded torch==2.4.0 to 2.3.0. It runs without any problem.
Then I saw the prompt when opening comfyui:.

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.4.0+cu121 with CUDA 1201 (you have 2.3.0+cu121)
Python 3.11.9 (you have 3.11.9)
Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be availab

I dwongraded xFormers from v0.0.27.post2 to 0.0.26, but the same problem occurred again.
Finally, I graded xFormers to v0.0.27.post2 , and then installed torch==2.3.0 and there was no problem again.

run ComfyUI-IC-Light-Native\examples is ok. but run ic-light\examples, it alse occurred the same problem .
and if occurred same problem, I have to restart it to solve the problem.
i dont know why

[52Hz-p]

问题原因找到了，今天我把torch==2.4.0降级到2.3.0，运行没有问题， 然后打开comfyui的时候就看到提示：

警告 [XFORMERS]：xFormers 无法加载 C++/CUDA 扩展。xFormers 是为以下系统构建的： 带有 CUDA 1201 的 PyTorch 2.4.0+cu121（您有 2.3.0+cu121） Python 3.11.9（您有 3.11.9） 请重新安装 xformers（请参阅https://github.com/facebookresearch/xformers#installing-xformers） 内存高效注意、SwiGLU、稀疏等将不可用

我把 xFormers 从 v0.0.27.post2 升级到 0.0.26 ，同样的问题又出现了。 最后我把 xFormers 升级到 v0.0.27.post2 ，然后安装 torch==2.3.0 ，又没问题了。

运行 ComfyUI-IC-Light-Native\examples 没问题。但是运行 ic-light\examples 时，也会出现同样的问题。 如果出现同样的问题，我必须重新启动它才能解决问题。 我不知道为什么

请问你解决了吗，我也遇到了同样的问题，comfyui最新版本，环境都没问题，单独使用ic light没问题，但是我加到我工作流当中就报错了