Fooocus is not working on last few versions Stability Matrix

[anupamluv]

Package

Fooocus Fooocus - mashb1t 1-Up Edition

When did the issue occur?

Running the Package

What GPU / hardware type are you using?

Nvidia 5090

What happened?

Fooocus can be installed and launched but when we generate the image it shows following error...

RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Console output

Requested to load SDXLClipModel Loading 1 new model Traceback (most recent call last): File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\async_worker.py", line 1483, in worker handler(task) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\async_worker.py", line 1172, in handler tasks, use_expansion, loras, current_progress = process_prompt(async_task, async_task.prompt, async_task.negative_prompt, File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\async_worker.py", line 662, in process_prompt pipeline.refresh_everything(refiner_model_name=async_task.refiner_model_name, File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\default_pipeline.py", line 265, in refresh_everything prepare_text_encoder(async_call=True) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\default_pipeline.py", line 228, in prepare_text_encoder ldm_patched.modules.model_management.load_models_gpu([final_clip.patcher, final_expansion.patcher]) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\modules\patch.py", line 447, in patched_load_models_gpu y = ldm_patched.modules.model_management.load_models_gpu_origin(*args, **kwargs) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\ldm_patched\modules\model_management.py", line 437, in load_models_gpu cur_loaded_model = loaded_model.model_load(lowvram_model_memory) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\ldm_patched\modules\model_management.py", line 304, in model_load raise e File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\ldm_patched\modules\model_management.py", line 300, in model_load self.real_model = self.model.patch_model(device_to=patch_model_to) #TODO: do something with loras and offloading to CPU File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\ldm_patched\modules\model_patcher.py", line 199, in patch_model temp_weight = ldm_patched.modules.model_management.cast_to_device(weight, device_to, torch.float32, copy=True) File "C:\StabilityMatrix\Packages\Fooocus - mashb1t's 1-Up Edition\ldm_patched\modules\model_management.py", line 615, in cast_to_device return tensor.to(device, copy=copy, non_blocking=non_blocking).to(dtype, non_blocking=non_blocking) RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Total time: 5.38 seconds

Version

v2.15.0

What Operating System are you using?

Windows

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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[bot]]

This issue was closed because it has been stale for 7 days with no activity.