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Consistent errors on the ComfyUI-Zluda package related to thread causing non-unwinding panic. #1376
Closed as not planned
Description
What happened?
Right after a clean install of Stability Matrix, HIP SDK, Adrenalin 25.9.1 on my RX 7600 XT, system running on Windows 11, I decided to use ComfyUI-Zluda because I wanted to use it in tandem with Inference. However, right after installing, I ran the package, letting it compile, and it spat out the error provided. I've tried re-installing drivers, HIP SDK, switching to PRO drivers, yet the issue persists.
Note: I CANNOT reproduce the error on a regular installation (i.e. without Stability Matrix) of ComfyUI-Zluda.
Steps to reproduce
- Open Stability Matrix
- Install and Run ComfyUI-Zluda.
- Wait for it to compile, afterwards watch as it produces an error without being able to generate an image.
Relevant logs
Adding extra search path checkpoints C:\Users\***\Documents\Models\StableDiffusion
Adding extra search path diffusers C:\Users\***\Documents\Models\Diffusers
Adding extra search path loras C:\Users\***\Documents\Models\Lora
Adding extra search path loras C:\Users\***\Documents\Models\LyCORIS
Adding extra search path clip C:\Users\***\Documents\Models\TextEncoders
Adding extra search path clip_vision C:\Users\***\Documents\Models\ClipVision
Adding extra search path embeddings C:\Users\***\Documents\Models\Embeddings
Adding extra search path vae C:\Users\***\Documents\Models\VAE
Adding extra search path vae_approx C:\Users\***\Documents\Models\ApproxVAE
Adding extra search path controlnet C:\Users\***\Documents\Models\ControlNet
Adding extra search path controlnet C:\Users\***\Documents\Models\T2IAdapter
Adding extra search path gligen C:\Users\***\Documents\Models\GLIGEN
Adding extra search path upscale_models C:\Users\***\Documents\Models\ESRGAN
Adding extra search path upscale_models C:\Users\***\Documents\Models\RealESRGAN
Adding extra search path upscale_models C:\Users\***\Documents\Models\SwinIR
Adding extra search path hypernetworks C:\Users\***\Documents\Models\Hypernetwork
Adding extra search path ipadapter C:\Users\***\Documents\Models\IpAdapter
Adding extra search path ipadapter C:\Users\***\Documents\Models\IpAdapters15
Adding extra search path ipadapter C:\Users\***\Documents\Models\IpAdaptersXl
Adding extra search path prompt_expansion C:\Users\***\Documents\Models\PromptExpansion
Adding extra search path ultralytics C:\Users\***\Documents\Models\Ultralytics
Adding extra search path ultralytics_bbox C:\Users\***\Documents\Models\Ultralytics\bbox
Adding extra search path ultralytics_segm C:\Users\***\Documents\Models\Ultralytics\segm
Adding extra search path sams C:\Users\***\Documents\Models\Sams
Adding extra search path diffusion_models C:\Users\***\Documents\Models\DiffusionModels
Checkpoint files will always be loaded safely.
Total VRAM 16368 MB, total RAM 32635 MB
pytorch version: 2.7.0+cu118
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 7600 XT [ZLUDA] : native
Using pytorch attention
Python version: 3.11.13 (main, Jul 23 2025, 00:29:09) [MSC v.1944 64 bit (AMD64)]
ComfyUI version: 0.3.57
ComfyUI frontend version: 1.25.11
[Prompt Server] web root: C:\Users\***\Documents\StabilityMatrix-win-x64\Data\Packages\ComfyUI-Zluda\venv\Lib\site-packages\comfyui_frontend_package\static
Import times for custom nodes:
0.0 seconds: C:\Users\***\Documents\StabilityMatrix-win-x64\Data\Packages\ComfyUI-Zluda\custom_nodes\websocket_image_save.py
Context impl SQLiteImpl.
Will assume non-transactional DDL.
No target revision found.
Starting server
To see the GUI go to: http://127.0.0.1:8188
got prompt
model weight dtype torch.float16, manual cast: None
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
Requested to load SDXLClipModel
loaded completely 9.5367431640625e+25 1560.802734375 True
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cuda:0, dtype: torch.float16
Requested to load SDXL
loaded completely 12836.39580078125 4897.0483474731445 True
:: Checking package versions...
Found pydantic: 2.11.7, pydantic-settings: 2.10.1
:: Pydantic packages are compatible, skipping reinstall
Installed version of comfyui-frontend-package: 1.25.11
Installed version of comfyui-workflow-templates: 0.1.75
Installed version of av: 15.1.0
Installed version of comfyui-embedded-docs: 0.2.6
:: Package version check complete.
:: ------------------------ ZLUDA ----------------------- ::
:: Auto-detecting AMD GPU architecture for Triton...
:: Detected GPU via Windows registry: AMD Radeon RX 7600 XT
:: Set TRITON_OVERRIDE_ARCH=gfx1102
:: Triton not installed
:: ONNX Runtime not installed — skipping patch.
:: Using ZLUDA with device: AMD Radeon RX 7600 XT [ZLUDA]
:: Applying core ZLUDA patches...
:: Triton optimizations skipped (not available)
:: Configuring PyTorch backends...
:: Disabled CUDA flash attention
:: Enabled math attention fallback
:: ZLUDA initialization complete
:: ------------------------ ZLUDA ----------------------- ::
thread '<unnamed>' panicked at zluda_dnn\src\lib.rs:195:14:
[ZLUDA] Unknown data type: 10
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread '<unnamed>' panicked at library\core\src\panicking.rs:218:5:
panic in a function that cannot unwind
stack backtrace:
0: 0x7ff8d25e3cf1 - cudnnConvolutionBackwardData
1: 0x7ff8d25f117a - cudnnConvolutionBackwardData
2: 0x7ff8d25e23b7 - cudnnConvolutionBackwardData
3: 0x7ff8d25e3b35 - cudnnConvolutionBackwardData
4: 0x7ff8d25e4fe2 - cudnnConvolutionBackwardData
5: 0x7ff8d25e4dd3 - cudnnConvolutionBackwardData
6: 0x7ff8d25e5acf - cudnnConvolutionBackwardData
7: 0x7ff8d25e5922 - cudnnConvolutionBackwardData
8: 0x7ff8d25e442f - cudnnConvolutionBackwardData
9: 0x7ff8d25e555e - cudnnConvolutionBackwardData
10: 0x7ff8d25f9c05 - cudnnConvolutionBackwardData
11: 0x7ff8d25f9cb3 - cudnnConvolutionBackwardData
12: 0x7ff8d25f9d95 - cudnnConvolutionBackwardData
13: 0x7ff8d25dd503 - cudnnBackendSetAttribute
14: 0x7ff8ef600430 - _CxxFrameHandler3
15: 0x7ff8ef5f342d - is_exception_typeof
16: 0x7ff903ea6006 - RtlCaptureContext2
17: 0x7ff8d25dd4e0 - cudnnBackendSetAttribute
18: 0x7ffe0e7908bd - at::native::cudnn_convolution_transpose
19: 0x7ffe0e7e75ce - at::native::_use_cudnn_ctc_loss_tensor
20: 0x7ffe0e7e9baf - at::native::_use_cudnn_ctc_loss_tensor
21: 0x7ffe0e7ea17a - at::native::_use_cudnn_ctc_loss_tensor
22: 0x7ffe0e7ea348 - at::native::_use_cudnn_ctc_loss_tensor
23: 0x7ffe0e7d2272 - at::native::_use_cudnn_ctc_loss_tensor
24: 0x7ffe0e7cc841 - at::native::_use_cudnn_ctc_loss_tensor
25: 0x7ffe0e8256ac - at::native::_use_cudnn_ctc_loss_tensor
26: 0x7ffe101ae8a8 - at::native::_cudnn_attention_forward
27: 0x7ffe104fc10e - at::cuda::where_outf
28: 0x7ffe10438e2a - at::cuda::bucketize_outf
29: 0x7fff0ffc7f46 - at::_ops::zeros_like_out::redispatch
30: 0x7fff1001368f - at::_ops::_cudnn_attention_forward::call
31: 0x7ffe101b1058 - at::native::_fused_sdp_choice_cuda
32: 0x7ffe105070d8 - at::cuda::where_outf
33: 0x7ffe10438eeb - at::cuda::bucketize_outf
34: 0x7fff0fdaba00 - at::_ops::_scaled_dot_product_cudnn_attention::call
35: 0x7fff0f999252 - at::native::scaled_dot_product_attention
36: 0x7fff104b253c - at::compositeimplicitautograd::where
37: 0x7fff1049126f - at::compositeimplicitautograd::broadcast_to_symint
38: 0x7fff0fe02851 - at::_ops::scaled_dot_product_attention::call
39: 0x7ff8130d812f - torch::PythonArgs::toSymIntOptional
40: 0x7ff813107d15 - torch::PythonArgs::toSymIntOptional
41: 0x7ff87436f47e - PyArg_ParseTuple
42: 0x7ff8743f0449 - PyObject_Call
43: 0x7ff8743f006d - PyObject_CallObject
44: 0x7ff87439f87c - PyEval_EvalFrameDefault
45: 0x7ff874366721 - PyFunction_Vectorcall
46: 0x7ff874367b2f - PyFunction_Vectorcall
47: 0x7ff8743effdd - PyObject_CallObject
48: 0x7ff87439f87c - PyEval_EvalFrameDefault
49: 0x7ff874366721 - PyFunction_Vectorcall
50: 0x7ff874367b2f - PyFunction_Vectorcall
51: 0x7ff8743effdd - PyObject_CallObject
52: 0x7ff87439f87c - PyEval_EvalFrameDefault
53: 0x7ff874366721 - PyFunction_Vectorcall
54: 0x7ff8743f88bc - PyObject_FastCallDictTstate
55: 0x7ff87448d3a7 - PyObject_Call_Prepend
56: 0x7ff87448d2d4 - PyLong_FromBytes
57: 0x7ff87436cf0b - PyObject_MakeTpCall
58: 0x7ff87439966f - PyObject_Vectorcall
59: 0x7ff87439ac6f - PyEval_EvalFrameDefault
60: 0x7ff874366721 - PyFunction_Vectorcall
61: 0x7ff874367b2f - PyFunction_Vectorcall
62: 0x7ff8743effdd - PyObject_CallObject
63: 0x7ff87439f87c - PyEval_EvalFrameDefault
64: 0x7ff874366721 - PyFunction_Vectorcall
65: 0x7ff874367b2f - PyFunction_Vectorcall
66: 0x7ff8743effdd - PyObject_CallObject
67: 0x7ff87439f87c - PyEval_EvalFrameDefault
68: 0x7ff874366721 - PyFunction_Vectorcall
69: 0x7ff8743f88bc - PyObject_FastCallDictTstate
70: 0x7ff87448d3a7 - PyObject_Call_Prepend
71: 0x7ff87448d2d4 - PyLong_FromBytes
72: 0x7ff87436cf0b - PyObject_MakeTpCall
73: 0x7ff87439966f - PyObject_Vectorcall
74: 0x7ff87439ac6f - PyEval_EvalFrameDefault
75: 0x7ff8743679d1 - PyFunction_Vectorcall
76: 0x7ff8743f0085 - PyObject_CallObject
77: 0x7ff87439f87c - PyEval_EvalFrameDefault
78: 0x7ff8743679d1 - PyFunction_Vectorcall
79: 0x7ff8743f0085 - PyObject_CallObject
80: 0x7ff87439f87c - PyEval_EvalFrameDefault
81: 0x7ff874366721 - PyFunction_Vectorcall
82: 0x7ff8743f8847 - PyObject_FastCallDictTstate
83: 0x7ff87448d3a7 - PyObject_Call_Prepend
84: 0x7ff87448d2d4 - PyLong_FromBytes
85: 0x7ff87436cf0b - PyObject_MakeTpCall
86: 0x7ff87439966f - PyObject_Vectorcall
87: 0x7ff87439ac6f - PyEval_EvalFrameDefault
88: 0x7ff8743679d1 - PyFunction_Vectorcall
89: 0x7ff8743f0085 - PyObject_CallObject
90: 0x7ff87439f87c - PyEval_EvalFrameDefault
91: 0x7ff8743679d1 - PyFunction_Vectorcall
92: 0x7ff8743f0085 - PyObject_CallObject
93: 0x7ff87439f87c - PyEval_EvalFrameDefault
94: 0x7ff874366721 - PyFunction_Vectorcall
95: 0x7ff874367b2f - PyFunction_Vectorcall
96: 0x7ff8743effdd - PyObject_CallObject
97: 0x7ff87439f87c - PyEval_EvalFrameDefault
98: 0x7ff874366721 - PyFunction_Vectorcall
99: 0x7ff874367b2f - PyFunction_Vectorcall
100: 0x7ff8743effdd - PyObject_CallObject
101: 0x7ff87439f87c - PyEval_EvalFrameDefault
102: 0x7ff874366721 - PyFunction_Vectorcall
103: 0x7ff8743f88bc - PyObject_FastCallDictTstate
104: 0x7ff87448d3a7 - PyObject_Call_Prepend
105: 0x7ff87448d2d4 - PyLong_FromBytes
106: 0x7ff8743f00b0 - PyObject_CallObject
107: 0x7ff87439f87c - PyEval_EvalFrameDefault
108: 0x7ff874366721 - PyFunction_Vectorcall
109: 0x7ff874367b2f - PyFunction_Vectorcall
110: 0x7ff8743effdd - PyObject_CallObject
111: 0x7ff87439f87c - PyEval_EvalFrameDefault
112: 0x7ff874366721 - PyFunction_Vectorcall
113: 0x7ff874367b2f - PyFunction_Vectorcall
114: 0x7ff8743effdd - PyObject_CallObject
115: 0x7ff87439f87c - PyEval_EvalFrameDefault
116: 0x7ff874366721 - PyFunction_Vectorcall
117: 0x7ff874367b2f - PyFunction_Vectorcall
118: 0x7ff8743effdd - PyObject_CallObject
119: 0x7ff87439f87c - PyEval_EvalFrameDefault
120: 0x7ff874366721 - PyFunction_Vectorcall
121: 0x7ff8743f0085 - PyObject_CallObject
122: 0x7ff87439f87c - PyEval_EvalFrameDefault
123: 0x7ff8743679d1 - PyFunction_Vectorcall
124: 0x7ff8743f0085 - PyObject_CallObject
125: 0x7ff87439f87c - PyEval_EvalFrameDefault
126: 0x7ff874366721 - PyFunction_Vectorcall
127: 0x7ff874367b2f - PyFunction_Vectorcall
128: 0x7ff8743effdd - PyObject_CallObject
129: 0x7ff87439f87c - PyEval_EvalFrameDefault
130: 0x7ff874366721 - PyFunction_Vectorcall
131: 0x7ff8743f88bc - PyObject_FastCallDictTstate
132: 0x7ff87448d3a7 - PyObject_Call_Prepend
133: 0x7ff87448d2d4 - PyLong_FromBytes
134: 0x7ff87436cf0b - PyObject_MakeTpCall
135: 0x7ff87439966f - PyObject_Vectorcall
136: 0x7ff87439ac6f - PyEval_EvalFrameDefault
137: 0x7ff874366721 - PyFunction_Vectorcall
138: 0x7ff8743f88bc - PyObject_FastCallDictTstate
139: 0x7ff87448d3a7 - PyObject_Call_Prepend
140: 0x7ff87448d2d4 - PyLong_FromBytes
141: 0x7ff8743f00b0 - PyObject_CallObject
142: 0x7ff87439f87c - PyEval_EvalFrameDefault
143: 0x7ff874366721 - PyFunction_Vectorcall
144: 0x7ff8743effdd - PyObject_CallObject
145: 0x7ff87439f87c - PyEval_EvalFrameDefault
146: 0x7ff874366721 - PyFunction_Vectorcall
147: 0x7ff8743effdd - PyObject_CallObject
148: 0x7ff87439f87c - PyEval_EvalFrameDefault
149: 0x7ff8743679d1 - PyFunction_Vectorcall
150: 0x7ff8743f0085 - PyObject_CallObject
151: 0x7ff87439f87c - PyEval_EvalFrameDefault
152: 0x7ff8743679d1 - PyFunction_Vectorcall
153: 0x7ff8743f0085 - PyObject_CallObject
154: 0x7ff87439f87c - PyEval_EvalFrameDefault
155: 0x7ff874366721 - PyFunction_Vectorcall
156: 0x7ff874367b2f - PyFunction_Vectorcall
157: 0x7ff8743effdd - PyObject_CallObject
158: 0x7ff87439f87c - PyEval_EvalFrameDefault
159: 0x7ff8743608de - PyDict_MergeFromSeq2
160: 0x7ff8744a914c - PyArg_NoPositional
161: 0x7ff87439e452 - PyEval_EvalFrameDefault
162: 0x7ff8743608de - PyDict_MergeFromSeq2
163: 0x7ff8744a914c - PyArg_NoPositional
164: 0x7ff87439e452 - PyEval_EvalFrameDefault
165: 0x7ff8743608de - PyDict_MergeFromSeq2
166: 0x7ff8744a914c - PyArg_NoPositional
167: 0x7ff87439e452 - PyEval_EvalFrameDefault
168: 0x7ff8743608de - PyDict_MergeFromSeq2
169: 0x7ff8744a914c - PyArg_NoPositional
170: 0x7ff87439e452 - PyEval_EvalFrameDefault
171: 0x7ff8743608de - PyDict_MergeFromSeq2
172: 0x7ff8744a914c - PyArg_NoPositional
173: 0x7ff8d6e159e0 - PyInit__asyncio
174: 0x7ff8d6e15853 - PyInit__asyncio
175: 0x7ff87436cf0b - PyObject_MakeTpCall
176: 0x7ff874596b2c - PyContext_NewHamtForTests
177: 0x7ff874596dd9 - PyContext_NewHamtForTests
178: 0x7ff8743c2d8c - PyArg_CheckPositional
179: 0x7ff8743f03ff - PyObject_Call
180: 0x7ff8743f006d - PyObject_CallObject
181: 0x7ff87439f87c - PyEval_EvalFrameDefault
182: 0x7ff874366721 - PyFunction_Vectorcall
183: 0x7ff8743f0085 - PyObject_CallObject
184: 0x7ff87439f87c - PyEval_EvalFrameDefault
185: 0x7ff874366721 - PyFunction_Vectorcall
186: 0x7ff874367b89 - PyFunction_Vectorcall
187: 0x7ff8743f03ff - PyObject_Call
188: 0x7ff87434881c - PyInterpreterState_Delete
189: 0x7ff874348782 - PyInterpreterState_Delete
190: 0x7ff9016137b0 - wcsrchr
191: 0x7ff90306e8d7 - BaseThreadInitThunk
192: 0x7ff903dbc34c - RtlUserThreadStart
thread caused non-unwinding panic. aborting.
0%| | 0/1 [00:00<?, ?it/s]
Stopped process at 9/9/2025 6:20:36 PM +03:00Version
v2.15.0
What Operating System are you using?
Windows
Activity
InMyDarkMind commentedon Sep 13, 2025
Same issue ComfyUI-Zluda from Stability Matrix
GPU: 7900xtx
OS: Win11
Used to work before but reinstalled package and no longer works.
AyelLynx commentedon Sep 15, 2025
have you found a fix?
UnsexSituation commentedon Sep 15, 2025
There's a 'fix' that worked for me, which was setting the --force-fp32 flag. It tanks the speed too much though
mitchy030 commentedon Sep 18, 2025
Getting the same issue. My guess is pytorch. mine was working when i was using version 2.4.0. now it does not work on 2.7.0.
AyelLynx commentedon Sep 19, 2025
Mine got it fix by uninstalling StabilityMatrix and just using the pure ComfyUI-Zluda. It need some work around to get it working but there's instructions you can follow.
kndol commentedon Sep 19, 2025
The same issue ComfyUI-Zluda from Stability Matrix
GPU: 6600xt
OS: Win11
Bro3x commentedon Sep 20, 2025
For me the laucnh option --use-quad-cross-attention instead of --use-pytorch-cross-attention works with fp16. My be the bug ist related to Comfy-Org/ComfyUI#7016.
github-actions commentedon Nov 20, 2025
This issue is stale because it has been open 60 days with no activity. Remove the stale label or comment, else this will be closed in 7 days.
github-actions commentedon Nov 27, 2025
This issue was closed because it has been stale for 7 days with no activity.