i met a probam when ran text-to-3D that suggestd stitch_diffusion/vae/stablediffusion.vae.pt could not be found in huggingface #5
Description
Traceback (most recent call last):
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/diffusers/modeling_utils.py", line 605, in _get_model_file
model_file = hf_hub_download(
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/huggingface_hub/utils/_deprecation.py", line 101, in inner_f
return f(*args, **kwargs)
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
validate_repo_id(arg_value)
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
raise HFValidationError(
huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'stitch_diffusion/vae/stablediffusion.vae.pt'. Use repo_type argument if needed.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train.py", line 291, in
training(lp.extract(args), op.extract(args), pp.extract(args), args.test_iterations, args.save_iterations, args.checkpoint_iterations, args.start_checkpoint, args.debug_from, args.api_key, args.self_refinement, args.num_prompt, args.max_rounds)
File "train.py", line 52, in training
scene = Scene(dataset, gaussians, api_key, self_refinement, num_prompt, max_rounds)
File "/home/hanyidong/project/3D_poem/DreamScene360-main/scene/init.py", line 223, in init
sd.inference(prompt, savename=os.path.join(args.source_path, "diffusion_img.png"))
File "/home/hanyidong/project/3D_poem/DreamScene360-main/stitch_diffusion/kohya_trainer/StitchDiffusionPipeline.py", line 1713, in inference
image = self.pipe(prompt)[0]
File "/home/hanyidong/project/3D_poem/DreamScene360-main/stitch_diffusion/kohya_trainer/StitchDiffusionPipeline.py", line 1706, in call
image = main(self.args)
File "/home/hanyidong/project/3D_poem/DreamScene360-main/stitch_diffusion/kohya_trainer/StitchDiffusionPipeline.py", line 920, in main
vae = model_util.load_vae(args.vae, dtype)
File "/home/hanyidong/project/3D_poem/DreamScene360-main/stitch_diffusion/kohya_trainer/library/model_util.py", line 1085, in load_vae
vae = AutoencoderKL.from_pretrained(vae_id, subfolder="vae", torch_dtype=dtype)
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/diffusers/modeling_utils.py", line 453, in from_pretrained
model_file = cls._get_model_file(
File "/home/hanyidong/.conda/envs/dreamscene360/lib/python3.8/site-packages/diffusers/modeling_utils.py", line 647, in _get_model_file
raise EnvironmentError(
OSError: We couldn't connect to 'https://huggingface.co' to load this model, couldn't find it in the cached files and it looks like stitch_diffusion/vae/stablediffusion.vae.pt is not the path to a directory containing a file named diffusion_pytorch_model.bin or
Checkout your internet connection or see how to run the library in offline mode at 'https://huggingface.co/docs/diffusers/installation#offline-mode'.