raceback (most recent call last):
File "/data/Unique3D/app/gradio_local.py", line 20, in
from app.gradio_3dgen import create_ui as create_3d_ui
File "/data/Unique3D/./app/gradio_3dgen.py", line 7, in
from app.custom_models.normal_prediction import predict_normals
File "/data/Unique3D/./app/custom_models/normal_prediction.py", line 10, in
trainer, pipeline = load_pipeline(training_config, checkpoint_path)
File "/data/Unique3D/./app/custom_models/utils.py", line 56, in load_pipeline
trainers, configurable_unet = init_trainers(training_config, weight_dtype, extras)
File "/data/Unique3D/./app/custom_models/utils.py", line 21, in init_trainers
configurable_unet = ConfigurableUNet2DConditionModel(init_config, weight_dtype)
File "/data/Unique3D/./custum_3d_diffusion/custum_modules/unifield_processor.py", line 142, in init
self.set_config(init_config)
File "/data/Unique3D/./custum_3d_diffusion/custum_modules/unifield_processor.py", line 205, in set_config
self.unet: UnifieldWrappedUNet = unet_type.from_pretrained(
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, *kwargs)
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 719, in from_pretrained
model_file = _get_model_file(
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/diffusers/utils/hub_utils.py", line 391, in _get_model_file
raise EnvironmentError(
OSError: Can't load the model for 'lambdalabs/sd-image-variations-diffusers'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'lambdalabs/sd-image-variations-diffusers' is the correct path to a directory containing a file named diffusion_pytorch_model.bin
raceback (most recent call last): File "/data/Unique3D/app/gradio_local.py", line 20, in
from app.gradio_3dgen import create_ui as create_3d_ui
File "/data/Unique3D/./app/gradio_3dgen.py", line 7, in
from app.custom_models.normal_prediction import predict_normals
File "/data/Unique3D/./app/custom_models/normal_prediction.py", line 10, in
trainer, pipeline = load_pipeline(training_config, checkpoint_path)
File "/data/Unique3D/./app/custom_models/utils.py", line 56, in load_pipeline
trainers, configurable_unet = init_trainers(training_config, weight_dtype, extras)
File "/data/Unique3D/./app/custom_models/utils.py", line 21, in init_trainers
configurable_unet = ConfigurableUNet2DConditionModel(init_config, weight_dtype)
File "/data/Unique3D/./custum_3d_diffusion/custum_modules/unifield_processor.py", line 142, in init
self.set_config(init_config)
File "/data/Unique3D/./custum_3d_diffusion/custum_modules/unifield_processor.py", line 205, in set_config
self.unet: UnifieldWrappedUNet = unet_type.from_pretrained(
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, *kwargs)
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/diffusers/models/modeling_utils.py", line 719, in from_pretrained
model_file = _get_model_file(
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "/data/miniconda/envs/torch/lib/python3.10/site-packages/diffusers/utils/hub_utils.py", line 391, in _get_model_file
raise EnvironmentError(
OSError: Can't load the model for 'lambdalabs/sd-image-variations-diffusers'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'lambdalabs/sd-image-variations-diffusers' is the correct path to a directory containing a file named diffusion_pytorch_model.bin