在抱脸网下载模型时出错了

[juewangdelty]

╭───────────────────── 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(repoid): │ │ ❱ 160 │ │ raise HFValidationError( │ │ 161 │ │ │ "Repo id must use alphanumeric chars or '-', '', '.', '-- │ │ 162 │ │ │ " forbidden, '-' and '.' cannot start or end the name, max │ │ 163 │ │ │ f" '{repoid}'." │ ╰──────────────────────────────────────────────────────────────────────────────╯ 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]

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[genericness]

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

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

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