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Published 2 days ago • verified publisher icon comfyanonymous

Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead

Open 158zd opened this issue 1 year ago • 2 comments

Expected Behavior

Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead

Actual Behavior

Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead

Steps to Reproduce

Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead

Debug Logs

got prompt
model weight dtype torch.float16, manual cast: None
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
Requested to load SD1ClipModel
Loading 1 new model
loaded completely 0.0 235.84423828125 True
Using pytorch attention in VAE
Using pytorch attention in VAE
final text_encoder_type: bert-base-uncased
Loads SAM model: D:\AI\ComfyUI\models\sams\sam_vit_b_01ec64.pth (device:Prefer GPU)
# of Detected SEGS: 1
1girl, solo, long_hair, looking_at_viewer, skirt, brown_hair, shirt, long_sleeves, brown_eyes, jewelry, standing, full_body, earrings, outdoors, shoes, day, socks, off_shoulder, nail_polish, black_footwear, sweater, tree, hand_on_hip, sleeves_past_wrists, plaid, window, leaf, plaid_skirt, white_socks, pink_nails, pink_shirt, autumn_leaves, autumn, pink_sweater,
# of Detected SEGS: 1
model_path is D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox\..\..\models\annotator\TheMistoAI/MistoLine\Anyline\MTEED.pth
model_path is D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox\..\..\models\annotator\yzd-v/DWPose\yolox_l.onnx
model_path is D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox\..\..\models\annotator\hr16/DWPose-TorchScript-BatchSize5\dw-ll_ucoco_384_bs5.torchscript.pt

DWPose: Using yolox_l.onnx for bbox detection and dw-ll_ucoco_384_bs5.torchscript.pt for pose estimation
DWPose: Caching ONNXRuntime session yolox_l.onnx...
DWPose: Caching TorchScript module dw-ll_ucoco_384_bs5.torchscript.pt on ...
DWPose: Bbox 374.71ms
DWPose: Pose 321.67ms on 1 people

model_path is D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox\..\..\models\annotator\LiheYoung/Depth-Anything\checkpoints\depth_anything_vitl14.pth
using MLP layer as FFN
Warning torch.load doesn't support weights_only on this pytorch version, loading unsafely.
Warning torch.load doesn't support weights_only on this pytorch version, loading unsafely.
Detailer: force inpaint
Detailer: segment upscale for ((718, 1535)) | crop region (1024, 1536) x 1.0 -> (1024, 1536)
Requested to load AutoencodingEngine
Loading 1 new model
loaded completely 0.0 159.87335777282715 True
Requested to load ControlNet
Requested to load ControlNet
Requested to load ControlNet
Requested to load BaseModel
Loading 4 new models
loaded completely 0.0 689.0852355957031 True
loaded completely 0.0 689.0852355957031 True
loaded completely 0.0 689.0852355957031 True
loaded completely 0.0 1639.406135559082 True
  0%|                                                                                                                                                                             | 0/25 [00:00<?, ?it/s] 
!!! Exception during processing !!! Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead
Traceback (most recent call last):
  File "D:\AI\ComfyUI\execution.py", line 323, 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:\AI\ComfyUI\execution.py", line 198, 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:\AI\ComfyUI\execution.py", line 169, in _map_node_over_list
    process_inputs(input_dict, i)
  File "D:\AI\ComfyUI\execution.py", line 158, in process_inputs
    results.append(getattr(obj, func)(**inputs))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 378, in doit
    DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps,
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 323, in do_detail
    enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size,
                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 351, in enhance_detail
    refined_latent = impact_sampling.ksampler_wrapper(model2, seed2, steps2, cfg2, sampler_name2, scheduler2, positive2, negative2,
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 241, in ksampler_wrapper
    refined_latent = separated_sample(model, True, seed, advanced_steps, cfg, sampler_name, scheduler,
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 214, in separated_sample
    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_sampling.py", line 158, in sample_with_custom_noise
    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image,
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\sample.py", line 48, in sample_custom
    samples = comfy.samplers.sample(model, noise, positive, negative, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 753, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 740, in sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 719, in inner_sample
    samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 624, 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:\AI\ComfyUI\.venv\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\k_diffusion\sampling.py", line 689, in sample_dpmpp_2m
    denoised = model(x, sigmas[i] * s_in, **extra_args)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 299, in __call__
    out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 706, in __call__
    return self.predict_noise(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 709, 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:\AI\ComfyUI\comfy\samplers.py", line 279, in sampling_function
    out = calc_cond_batch(model, conds, x, timestep, model_options)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\samplers.py", line 202, in calc_cond_batch
    c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\controlnet.py", line 203, in get_control
    control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\controlnet.py", line 203, in get_control
    control_prev = self.previous_controlnet.get_control(x_noisy, t, cond, batched_number)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\controlnet.py", line 255, in get_control
    control = self.control_model(x=x_noisy.to(dtype), hint=self.cond_hint, timesteps=timestep.to(dtype), context=context.to(dtype), **extra)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\cldm\cldm.py", line 426, in forward
    h = module(h, emb, context)
        ^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 60, in forward
    return forward_timestep_embed(self, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 50, in forward_timestep_embed
    x = layer(x)
        ^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\comfy\ops.py", line 98, in forward
    return super().forward(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\conv.py", line 554, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\AI\ComfyUI\.venv\Lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward
    return F.conv2d(
           ^^^^^^^^^
RuntimeError: Given groups=1, weight of size [320, 4, 3, 3], expected input[2, 16, 192, 128] to have 4 channels, but got 16 channels instead

Prompt executed in 33.16 seconds

Other

(.venv) PS D:\AI\ComfyUI> python main.py [START] Security scan [DONE] Security scan

ComfyUI-Manager: installing dependencies done.

** ComfyUI startup time: 2024-11-16 20:24:17.560362 ** Platform: Windows ** Python version: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, 13:17:27) [MSC v.1929 64 bit (AMD64)] ** Python executable: D:\AI\ComfyUI.venv\Scripts\python.exe ** ComfyUI Path: D:\AI\ComfyUI ** Log path: D:\AI\ComfyUI\comfyui.log

Prestartup times for custom nodes: 0.0 seconds: D:\AI\ComfyUI\custom_nodes\rgthree-comfy 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Easy-Use 5.1 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Manager

Total VRAM 8188 MB, total RAM 65416 MB pytorch version: 2.5.1+cu124 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4060 : cudaMallocAsync Using pytorch cross attention [Prompt Server] web root: D:\AI\ComfyUI\web [ComfyUI-Easy-Use] server: v1.2.5 Loaded [ComfyUI-Easy-Use] web root: D:\AI\ComfyUI\custom_nodes\ComfyUI-Easy-Use\web_version/v2 Loaded Total VRAM 8188 MB, total RAM 65416 MB pytorch version: 2.5.1+cu124 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4060 : cudaMallocAsync

Loading: ComfyUI-Impact-Pack (V7.11.3)

Loading: ComfyUI-Impact-Pack (Subpack: V0.8)

[Impact Pack] Wildcards loading done. theUpsiders Logic Nodes: Loaded

Loading: ComfyUI-Manager (V2.51.9)

ComfyUI Revision: 2832 [4ac401af] | Released on '2024-11-15'

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json [ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json [ReActor] - STATUS - Running v0.5.1-b2 in ComfyUI Torch version: 2.5.1+cu124 no module 'xformers'. Processing without... no module 'xformers'. Processing without... here: D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox Using ckpts path: D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox....\models\annotator Using symlinks: False Using ort providers: ['CUDAExecutionProvider', 'DirectMLExecutionProvider', 'OpenVINOExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider'] DWPose: Onnxruntime with acceleration providers detected (pysssss:WD14Tagger) [DEBUG] Available ORT providers: TensorrtExecutionProvider, CUDAExecutionProvider, CPUExecutionProvider (pysssss:WD14Tagger) [DEBUG] Using ORT providers: CUDAExecutionProvider, CPUExecutionProvider

Comfyroll Studio v1.76 : 175 Nodes Loaded

** For changes, please see patch notes at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/blob/main/Patch_Notes.md ** For help, please see the wiki at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki

[comfyui_controlnet_aux] | INFO -> Using ckpts path: D:\AI\ComfyUI\custom_nodes\comfyui_controlnet_aux\ckpts [comfyui_controlnet_aux] | INFO -> Using symlinks: False [comfyui_controlnet_aux] | INFO -> Using ort providers: ['CUDAExecutionProvider', 'DirectMLExecutionProvider', 'OpenVINOExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider', 'CoreMLExecutionProvider'] [comfy_mtb] | INFO -> loaded 86 nodes successfuly [comfy_mtb] | INFO -> Some nodes (2) could not be loaded. This can be ignored, but go to http://127.0.0.1:8188/mtb if you want more information. Efficiency Nodes: Attempting to add Control Net options to the 'HiRes-Fix Script' Node (comfyui_controlnet_aux add-on)...Success!

[rgthree-comfy] Loaded 42 epic nodes. 🎉

WAS Node Suite: BlenderNeko's Advanced CLIP Text Encode found, attempting to enable CLIPTextEncode support. WAS Node Suite: CLIPTextEncode (BlenderNeko Advanced + NSP) node enabled under WAS Suite/Conditioning menu. WAS Node Suite: OpenCV Python FFMPEG support is enabled WAS Node Suite: ffmpeg_bin_path is set to: D:/AI/wb/ffmpeg/bin/ffmpeg.exe WAS Node Suite: Finished. Loaded 219 nodes successfully.

    "Art is the universal language that transcends boundaries and speaks to all." - Unknown

Import times for custom nodes: 0.0 seconds: D:\AI\ComfyUI\custom_nodes\websocket_image_save.py 0.0 seconds: D:\AI\ComfyUI\custom_nodes\AIGODLIKE-COMFYUI-TRANSLATION 0.0 seconds: D:\AI\ComfyUI\custom_nodes\Batch-Condition-ComfyUI 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Logic 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_ADV_CLIP_emb 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-WD14-Tagger 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-IC-Light-Native 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_IPAdapter_plus 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Custom-Scripts 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_HF_Servelress_Inference 0.0 seconds: D:\AI\ComfyUI\custom_nodes\comfyui-various 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_essentials 0.0 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-KJNodes 0.0 seconds: D:\AI\ComfyUI\custom_nodes\rgthree-comfy 0.1 seconds: D:\AI\ComfyUI\custom_nodes\efficiency-nodes-comfyui 0.1 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-IC-Light 0.1 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_Comfyroll_CustomNodes 0.1 seconds: D:\AI\ComfyUI\custom_nodes\comfyui_controlnet_aux 0.2 seconds: D:\AI\ComfyUI\custom_nodes\comfyui_segment_anything 0.2 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Impact-Pack 0.2 seconds: D:\AI\ComfyUI\custom_nodes\Comfyui-ergouzi-Nodes 0.9 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-BrushNet 0.9 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Easy-Use 0.9 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-Manager 1.2 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox 1.3 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-AdvancedLivePortrait 1.3 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI_LayerStyle 2.2 seconds: D:\AI\ComfyUI\custom_nodes\comfyui-reactor-node 3.2 seconds: D:\AI\ComfyUI\custom_nodes\ComfyUI-SUPIR 3.6 seconds: D:\AI\ComfyUI\custom_nodes\comfy_mtb 5.6 seconds: D:\AI\ComfyUI\custom_nodes\was-node-suite-comfyui

Starting server

To see the GUI go to: http://127.0.0.1:8188

158zd avatar Nov 16 '24 12:11 158zd

You probably used a model (maybe a ControlNet) that is not compatible with the Checkpoint. You need to check if all models are of the same type (for example all SD1.5)

LukeG89 avatar Nov 16 '24 13:11 LukeG89

您可能使用了与 Checkpoint 不兼容的模型（可能是 ControlNet）。 您需要检查所有模型是否属于同一类型（例如所有 SD1.5）

Thank you very much! After switching the VAE model, everything is working fine now.

158zd avatar Nov 16 '24 13:11 158zd

您可能使用了与Checkpoint不兼容的模型（可能是ControlNet）。您需要检查所有模型是否属于相同类型（例如所有SD1.5）

非常感谢！切换 VAE 模型后，现在一切都正常了。

怎么弄的哥，用的flux的vae没错吧，还有别的吗

soloqi0629 avatar Nov 30 '24 06:11 soloqi0629

"model_path is D:\AI\ComfyUI\custom_nodes\ComfyUI-tbox....\models\annotator\TheMistoAI/MistoLine\Anyline\MTEED.pth" 我想知道这个“....\”中间具体是什么内容！我离线下载了模型，不知道往哪放！就差中间省略的路径！

laobenmao avatar Feb 05 '25 10:02 laobenmao

You probably used a model (maybe a ControlNet) that is not compatible with the Checkpoint. You need to check if all models are of the same type (for example all SD1.5)

i dont see VAE in this workflow and I'm getting this error. here is the workflow: https://www.youtube.com/watch?v=9L4y-SIw6RU

rachelcenter avatar Apr 21 '25 19:04 rachelcenter