StabilityMatrix
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LykosAI
Consistent errors on the ComfyUI-Zluda package related to thread causing non-unwinding panic.
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 +03:00
Version
v2.15.0
What Operating System are you using?
Windows
Same issue ComfyUI-Zluda from Stability Matrix GPU: 7900xtx OS: Win11
Used to work before but reinstalled package and no longer works.
Same issue ComfyUI-Zluda from Stability Matrix GPU: 7900xtx OS: Win11
Used to work before but reinstalled package and no longer works.
have you found a fix?
Same issue ComfyUI-Zluda from Stability Matrix GPU: 7900xtx OS: Win11 Used to work before but reinstalled package and no longer works.
have you found a fix?
There's a 'fix' that worked for me, which was setting the --force-fp32 flag. It tanks the speed too much though
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.
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.
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.
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 https://github.com/comfyanonymous/ComfyUI/issues/7016.
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.
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This issue was closed because it has been stale for 7 days with no activity.