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While running I get as below. Any ideas where to find solution?
Requested to load SDXL
Loading 1 new model
Traceback (most recent call last):
File "C:\Users\krzys\Documents\Fooocus\Fooocus\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:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\model_patcher.py", line 210, in patch_model
self.model.to(device_to)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1160, in to
return self._apply(convert)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
[Previous line repeated 7 more times]
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 833, in _apply
param_applied = fn(param)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1158, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: Native API failed. Native API returns: -2 (PI_ERROR_DEVICE_NOT_AVAILABLE) -2 (PI_ERROR_DEVICE_NOT_AVAILABLE)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\krzys\Documents\Fooocus\Fooocus\modules\async_worker.py", line 900, in worker
handler(task)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\modules\async_worker.py", line 803, in handler
imgs = pipeline.process_diffusion(
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\modules\default_pipeline.py", line 362, in process_diffusion
sampled_latent = core.ksampler(
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\modules\core.py", line 308, in ksampler
samples = ldm_patched.modules.sample.sample(model,
File "C:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\sample.py", line 93, in sample
real_model, positive_copy, negative_copy, noise_mask, models = prepare_sampling(model, noise.shape, positive, negative, noise_mask)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\sample.py", line 86, in prepare_sampling
ldm_patched.modules.model_management.load_models_gpu([model] + models, model.memory_required([noise_shape[0] * 2] + list(noise_shape[1:])) + inference_memory)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\modules\patch.py", line 447, in patched_load_models_gpu
y = ldm_patched.modules.model_management.load_models_gpu_origin(*args, **kwargs)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\model_management.py", line 437, in load_models_gpu
cur_loaded_model = loaded_model.model_load(lowvram_model_memory)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\model_management.py", line 302, in model_load
self.model.unpatch_model(self.model.offload_device)
File "C:\Users\krzys\Documents\Fooocus\Fooocus\ldm_patched\modules\model_patcher.py", line 350, in unpatch_model
self.model.to(device_to)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1160, in to
return self._apply(convert)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply
module._apply(fn)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 833, in _apply
param_applied = fn(param)
File "C:\Users\krzys\Documents\Fooocus\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1158, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: Native API failed. Native API returns: -999 (Unknown PI error) -999 (Unknown PI error)
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(tried troubleshooting and random google search but nothing found).
Installed on Windows 11 (Intel UHG Graphics) according to: https://github.com/lllyasviel/Fooocus/pull/2120/files/58c4d68ffeaedb7434003622015f9b61ad14f41f
While running I get as below. Any ideas where to find solution?
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