Comfy-Org / Comfy-Org/ComfyUI

comfyui server unresponsed after a same workflow several times finished and background python.exe cant kill,i must restart my pc to run comfyui again

Open
#14,706 0 comments 1 reaction 0 assignees View on GitHub
Potential Bug
Dominant language
Python
Stars
133k
Forks
15.7k
Avg merge
1d 7h
Merged PRs (30d)
158

Description

### Custom Node Testing

- [ ] I have tried disabling custom nodes and the issue persists (see [how to disable custom nodes](https://docs.comfy.org/troubleshooting/custom-node-issues#step-1%3A-test-with-all-custom-nodes-disabled) if you need help)

### Expected Behavior

run normally or throw exception

### Actual Behavior

api timed out HTTPConnectionPool(host='127.0.0.1', port=8188): Read timed out. (read timeout=30)
console has no message, just normal

### Steps to Reproduce

every workflow happens, maybe run one time,maybe run 7 or 8 times workflow,then web cant response, operation fail.

### Debug Logs

```powershell
[INFO] Context impl SQLiteImpl.
[INFO] Will assume non-transactional DDL.
[INFO] Disabling intermediate node cache.
[INFO] Starting server

[INFO] To see the GUI go to: http://0.0.0.0:8188
[WARNING] [DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[WARNING] [DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/buttonGroup.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[WARNING] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/clipspace.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[WARNING] [DEPRECATION WARNING] Detected import of deprecated legacy API: /extensions/core/widgetInputs.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[INFO] [vsLinx] Combo type fix enabled via settings.
[INFO] [vsLinx] Combo type fix enabled via settings.
[WARNING] [DEPRECATION WARNING] Detected import of deprecated legacy API: /scripts/ui/components/button.js. This is likely caused by a custom node extension using outdated APIs. Please update your extensions or contact the extension author for an updated version.
[INFO] [ComfyUI-Manager] The ComfyRegistry cache update is still in progress, so an outdated cache is being used.
FETCH DATA from: H:\ComfyUI\python_embeded\Lib\site-packages\comfyui_manager\custom-node-list.json [DONE]
[INFO] got prompt
[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.float32
[INFO] Found quantization metadata version 1
[INFO] Detected mixed precision quantization
[INFO] Using mixed precision operations
[INFO] Native ops: mxfp8, nvfp4, float8_e5m2, float8_e4m3fn
[INFO] model weight dtype torch.bfloat16, manual cast: torch.bfloat16
[INFO] model_type FLUX
[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
[WARNING] no CLIP/text encoder weights in checkpoint, the text encoder model will not be loaded.
[INFO] Requested to load VideoVAE
[INFO] Model VideoVAE prepared for dynamic VRAM loading. 1384MB Staged. 0 patches attached.
[INFO] Found quantization metadata version 1
[INFO] Using MixedPrecisionOps for text encoder
[INFO] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
[INFO] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
[INFO] Using sage attention mode: auto
[INFO] Requested to load LTXAVTEModel_
[INFO] Model LTXAVTEModel_ prepared for dynamic VRAM loading. 11200MB Staged. 0 patches attached. Force pre-loaded 400 weights: 1749 KB.
[INFO] Model LTXAVTEModel_ prepared for dynamic VRAM loading. 11200MB Staged. 0 patches attached. Force pre-loaded 400 weights: 1749 KB.
Shape of the first 'weight' key (diffusion_model.adaln_single.emb.timestep_embedder.linear_1.lora_A.weight): torch.Size([1, 256])
Shape of the first 'weight' key (diffusion_model.adaln_single.emb.timestep_embedder.linear_1.lora_A.weight): torch.Size([1, 256])
[rgthree-comfy][Seed] Got "-1" as passed seed. This shouldn't happen when queueing from the ComfyUI frontend.
[rgthree-comfy][Seed] Server-generated random seed 183969054443544 and saving to workflow.
[rgthree-comfy][Seed] NOTE: Re-queues passing in "183969054443544" and server-generated random seed won't be cached.
[rgthree-comfy][Seed] Cannot save server-generated seed to image workflow metadata because workflow was not provided.
[INFO] Requested to load LTXAV
[INFO] Model LTXAV prepared for dynamic VRAM loading. 28786MB Staged. 1660 patches attached. Force pre-loaded 608 weights: 3303 KB.
[INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
100%|██████████████████████████████████████████████████████████████████████████████████| 12/12 [03:12<00:00, 16.04s/it]
[INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
[INFO] Requested to load AudioVAE
[INFO] loaded completely; 693.46 MB loaded, full load: True
[INFO] Requested to load VideoVAE
[INFO] Model VideoVAE prepared for dynamic VRAM loading. 1384MB Staged. 0 patches attached.
[INFO] Requested to load AudioVAE
[INFO] loaded completely; 693.46 MB loaded, full load: True
[INFO] Requested to load VideoVAE
[INFO] Model VideoVAE prepared for dynamic VRAM loading. 1384MB Staged. 0 patches attached.
Shape of the first 'weight' key (diffusion_model.adaln_single.emb.timestep_embedder.linear_1.lora_A.weight): torch.Size([1, 256])
Shape of the first 'weight' key (diffusion_model.adaln_single.emb.timestep_embedder.linear_1.lora_A.weight): torch.Size([1, 256])
[INFO] Requested to load LTXAV
[INFO] Model LTXAV prepared for dynamic VRAM loading. 28786MB Staged. 1660 patches attached. Force pre-loaded 608 weights: 3303 KB.
[INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = True
75%|███████████████████████████████████████████████████████████████ | 3/4 [04:41<01:29, 89.40s/it][INFO] got prompt
100%|████████████████████████████████████████████████████████████████████████████████████| 4/4 [06:09<00:00, 92.26s/it]
[INFO] Patching torch settings: torch.backends.cuda.matmul.allow_fp16_accumulation = False
[INFO] Requested to load AudioVAE
[INFO] loaded completely; 693.46 MB loaded, full load: True
[INFO] Requested to load VideoVAE
[INFO] 0 models unloaded.
[INFO] Model VideoVAE prepared for dynamic VRAM loading. 1384MB Staged. 0 patches attached.
[INFO] Prompt executed in 00:10:33
```

### Other
api timed out HTTPConnectionPool(host='127.0.0.1', port=8188): Read timed out. (read timeout=30)
_No response_

Contributor guide

Open the contributing guide

Research direction

The report names no repository files, tests, or entry points. Start by reproducing the timeout after repeated workflow runs and inspecting the server/API behavior using the supplied logs; done would require identifying the cause and verifying a fix with a regression test or equivalent evidence.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
api, backend
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.