Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

在抱脸网下载模型时出错了 #125

Open
juewangdelty opened this issue Jun 2, 2024 · 2 comments
Open

在抱脸网下载模型时出错了 #125

juewangdelty opened this issue Jun 2, 2024 · 2 comments

Comments

@juewangdelty
Copy link

╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /media/caj/TEN/YJ/SUPIR-master/gradio_demo.py:44 in │
│ │
│ 41 │ raise ValueError('Currently support CUDA only.') │
│ 42 │
│ 43 # load SUPIR │
│ ❱ 44 model, default_setting = create_SUPIR_model(args.opt, SUPIR_sign='Q', │
│ 45 if args.loading_half_params: │
│ 46 │ model = model.half() │
│ 47 if args.use_tile_vae: │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/SUPIR/util.py:36 in create_SUPIR_model │
│ │
│ 33 │
│ 34 def create_SUPIR_model(config_path, SUPIR_sign=None, load_default_sett │
│ 35 │ config = OmegaConf.load(config_path) │
│ ❱ 36 │ model = instantiate_from_config(config.model).cpu() │
│ 37 │ print(f'Loaded model config from [{config_path}]') │
│ 38 │ if config.SDXL_CKPT is not None: │
│ 39 │ │ model.load_state_dict(load_state_dict(config.SDXL_CKPT), stric │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/util.py:175 in instantiate_from_config │
│ │
│ 172 │ │ elif config == "is_unconditional": │
│ 173 │ │ │ return None │
│ 174 │ │ raise KeyError("Expected key target to instantiate.") │
│ ❱ 175 │ return get_obj_from_str(config["target"])(**config.get("params", d │
│ 176 │
│ 177 │
│ 178 def get_obj_from_str(string, reload=False, invalidate_cache=True): │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/SUPIR/models/SUPIR_model.py:14 in init
│ │
│ 11 │
│ 12 class SUPIRModel(DiffusionEngine): │
│ 13 │ def init(self, control_stage_config, ae_dtype='fp32', diffusio │
│ ❱ 14 │ │ super().init(*args, **kwargs) │
│ 15 │ │ control_model = instantiate_from_config(control_stage_config) │
│ 16 │ │ self.model.load_control_model(control_model) │
│ 17 │ │ self.first_stage_model.denoise_encoder = copy.deepcopy(self.fi │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/models/diffusion.py:61 in init
│ │
│ 58 │ │ │ if sampler_config is not None │
│ 59 │ │ │ else None │
│ 60 │ │ ) │
│ ❱ 61 │ │ self.conditioner = instantiate_from_config( │
│ 62 │ │ │ default(conditioner_config, UNCONDITIONAL_CONFIG) │
│ 63 │ │ ) │
│ 64 │ │ self.scheduler_config = scheduler_config │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/util.py:175 in instantiate_from_config │
│ │
│ 172 │ │ elif config == "is_unconditional": │
│ 173 │ │ │ return None │
│ 174 │ │ raise KeyError("Expected key target to instantiate.") │
│ ❱ 175 │ return get_obj_from_str(config["target"])(**config.get("params", d │
│ 176 │
│ 177 │
│ 178 def get_obj_from_str(string, reload=False, invalidate_cache=True): │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/modules/encoders/modules.py:89 in │
init
│ │
│ 86 │ │ super().init() │
│ 87 │ │ embedders = [] │
│ 88 │ │ for n, embconfig in enumerate(emb_models): │
│ ❱ 89 │ │ │ embedder = instantiate_from_config(embconfig) │
│ 90 │ │ │ assert isinstance( │
│ 91 │ │ │ │ embedder, AbstractEmbModel │
│ 92 │ │ │ ), f"embedder model {embedder.class.name} has to │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/util.py:175 in instantiate_from_config │
│ │
│ 172 │ │ elif config == "is_unconditional": │
│ 173 │ │ │ return None │
│ 174 │ │ raise KeyError("Expected key target to instantiate.") │
│ ❱ 175 │ return get_obj_from_str(config["target"])(**config.get("params", d │
│ 176 │
│ 177 │
│ 178 def get_obj_from_str(string, reload=False, invalidate_cache=True): │
│ │
│ /media/caj/TEN/YJ/SUPIR-master/sgm/modules/encoders/modules.py:462 in │
init
│ │
│ 459 │ ): # clip-vit-base-patch32 │
│ 460 │ │ super().init() │
│ 461 │ │ assert layer in self.LAYERS │
│ ❱ 462 │ │ self.tokenizer = CLIPTokenizer.from_pretrained(version if SDX │
│ 463 │ │ self.transformer = CLIPTextModel.from_pretrained(version if S │
│ 464 │ │ self.device = device │
│ 465 │ │ self.max_length = max_length │
│ │
│ /home/caj/anaconda3/envs/Diff4R/lib/python3.8/site-packages/transformers/tok │
│ enization_utils_base.py:1770 in from_pretrained │
│ │
│ 1767 │ │ │ │ elif is_remote_url(file_path): │
│ 1768 │ │ │ │ │ resolved_vocab_files[file_id] = download_url(file │
│ 1769 │ │ │ else: │
│ ❱ 1770 │ │ │ │ resolved_vocab_files[file_id] = cached_file( │
│ 1771 │ │ │ │ │ pretrained_model_name_or_path, │
│ 1772 │ │ │ │ │ file_path, │
│ 1773 │ │ │ │ │ cache_dir=cache_dir, │
│ │
│ /home/caj/anaconda3/envs/Diff4R/lib/python3.8/site-packages/transformers/uti │
│ ls/hub.py:409 in cached_file │
│ │
│ 406 │ user_agent = http_user_agent(user_agent) │
│ 407 │ try: │
│ 408 │ │ # Load from URL or cache if already cached │
│ ❱ 409 │ │ resolved_file = hf_hub_download( │
│ 410 │ │ │ path_or_repo_id, │
│ 411 │ │ │ filename, │
│ 412 │ │ │ subfolder=None if len(subfolder) == 0 else subfolder, │
│ │
│ /home/caj/anaconda3/envs/Diff4R/lib/python3.8/site-packages/huggingface_hub/ │
│ utils/_validators.py:106 in inner_fn │
│ │
│ 103 │ │ │ kwargs.items(), # Kwargs values │
│ 104 │ │ ): │
│ 105 │ │ │ if arg_name in ["repo_id", "from_id", "to_id"]: │
│ ❱ 106 │ │ │ │ validate_repo_id(arg_value) │
│ 107 │ │ │ │
│ 108 │ │ │ elif arg_name == "token" and arg_value is not None: │
│ 109 │ │ │ │ has_token = True │
│ │
│ /home/caj/anaconda3/envs/Diff4R/lib/python3.8/site-packages/huggingface_hub/ │
│ utils/validators.py:160 in validate_repo_id │
│ │
│ 157 │ │ ) │
│ 158 │ │
│ 159 │ if not REPO_ID_REGEX.match(repo_id): │
│ ❱ 160 │ │ raise HFValidationError( │
│ 161 │ │ │ "Repo id must use alphanumeric chars or '-', '
', '.', '-- │
│ 162 │ │ │ " forbidden, '-' and '.' cannot start or end the name, max │
│ 163 │ │ │ f" '{repo_id}'." │
╰──────────────────────────────────────────────────────────────────────────────╯
HFValidationError: Repo id must use alphanumeric chars or '-', '
', '.', '--'
and '..' are forbidden, '-' and '.' cannot start or end the name, max length is
96: ''.
错误如上

@FurkanGozukara
Copy link

full tutorial auto installers if you cant make it work

SUPIR: New SOTA Open Source Image Upscaler & Enhancer Model Better Than Magnific & Topaz AI Tutorial

image

Complete Guide to SUPIR Enhancing and Upscaling Images Like in Sci-Fi Movies on Your PC

image

@genericness
Copy link

full tutorial auto installers if you cant make it work

SUPIR: New SOTA Open Source Image Upscaler & Enhancer Model Better Than Magnific & Topaz AI Tutorial

image

Complete Guide to SUPIR Enhancing and Upscaling Images Like in Sci-Fi Movies on Your PC

image

please stop advertising installers that cost money on patreon

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants