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F:\PuLID\venv\lib\site-packages\timm\models\layers_init_.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Please 'pip install apex'
F:\PuLID\venv\lib\site-packages\diffusers\configuration_utils.py:245: FutureWarning: It is deprecated to pass a pretrained model name or path to from_config.If you were trying to load a model, please use <class 'diffusers.models.unets.unet_2d_condition.UNet2DConditionModel'>.load_config(...) followed by <class 'diffusers.models.unets.unet_2d_condition.UNet2DConditionModel'>.from_config(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.
deprecate("config-passed-as-path", "1.0.0", deprecation_message, standard_warn=False)
Traceback (most recent call last):
File "F:\PuLID\app.py", line 11, in
pipeline = PuLIDPipeline()
File "F:\PuLID\pulid\pipeline.py", line 41, in init
unet = UNet2DConditionModel.from_config(sdxl_base_repo, subfolder='unet').to(self.device, torch.float16)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1174, in to
return self._apply(convert)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 780, in _apply
module._apply(fn)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 805, in apply
param_applied = fn(param)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1160, in convert
return t.to(
File "F:\PuLID\venv\lib\site-packages\torch\cuda_init.py", line 305, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
tired of torch no compiled. i did install torch torchvision and torchaudio
The text was updated successfully, but these errors were encountered:
TanvirHafiz
changed the title
no modules named torchsde and pip install apex
torch no compiled
Nov 25, 2024
Traceback (most recent call last):
File "F:\PuLID\app_flux.py", line 326, in
demo = create_demo(args, args.name, args.device, args.offload, args.aggressive_offload)
File "F:\PuLID\app_flux.py", line 197, in create_demo
generator = FluxGenerator(model_name, device, offload, aggressive_offload, args)
File "F:\PuLID\app_flux.py", line 39, in init
self.model, self.ae, self.t5, self.clip = get_models(
File "F:\PuLID\app_flux.py", line 22, in get_models
t5 = load_t5(device, max_length=128)
File "F:\PuLID\flux\util.py", line 165, in load_t5
return HFEmbedder("xlabs-ai/xflux_text_encoders", max_length=max_length, torch_dtype=torch.bfloat16).to(device)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1174, in to
return self._apply(convert)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 780, in _apply
module._apply(fn)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 780, in _apply
module._apply(fn)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 805, in apply
param_applied = fn(param)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1160, in convert
return t.to(
File "F:\PuLID\venv\lib\site-packages\torch\cuda_init.py", line 305, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
it gives me this error
F:\PuLID\venv\lib\site-packages\timm\models\layers_init_.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
Please 'pip install apex'
F:\PuLID\venv\lib\site-packages\diffusers\configuration_utils.py:245: FutureWarning: It is deprecated to pass a pretrained model name or path to
from_config
.If you were trying to load a model, please use <class 'diffusers.models.unets.unet_2d_condition.UNet2DConditionModel'>.load_config(...) followed by <class 'diffusers.models.unets.unet_2d_condition.UNet2DConditionModel'>.from_config(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.deprecate("config-passed-as-path", "1.0.0", deprecation_message, standard_warn=False)
Traceback (most recent call last):
File "F:\PuLID\app.py", line 11, in
pipeline = PuLIDPipeline()
File "F:\PuLID\pulid\pipeline.py", line 41, in init
unet = UNet2DConditionModel.from_config(sdxl_base_repo, subfolder='unet').to(self.device, torch.float16)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1174, in to
return self._apply(convert)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 780, in _apply
module._apply(fn)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 805, in apply
param_applied = fn(param)
File "F:\PuLID\venv\lib\site-packages\torch\nn\modules\module.py", line 1160, in convert
return t.to(
File "F:\PuLID\venv\lib\site-packages\torch\cuda_init.py", line 305, in _lazy_init
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
tired of torch no compiled. i did install torch torchvision and torchaudio
The text was updated successfully, but these errors were encountered: