Can't download the files about node "audioldm2" about comfyui_vlm_nodes HOT 4 CLOSED

this is the structure, as same as you, it is 4.17 gb.

class AudioLDM2ModelPredictor:
    
    def __init__(self):
        from diffusers import AudioLDM2Pipeline
        self.device = "cuda" if torch.cuda.is_available() else "cpu"
        torch_dtype = torch.float16 if self.device == "cuda" else torch.float32

        # Use snapshot_download to manage the model download/cache
        self.model_path = snapshot_download("cvssp/audioldm2",
                                            local_dir=files_for_audio_model,
                                            force_download=False,  # Set to True to always download
                                            local_files_only=False,  # Download if not available locally
                                            use_auth_token=False,  # Set to True if using a private model
                                            local_dir_use_symlinks="auto",  # Auto-manage symlinks
                                            ignore_patterns=["*.bin", "*.jpg", "*.png"])  # Ignore unrelated files

        self.pipeline = AudioLDM2Pipeline.from_pretrained(self.model_path, 
                                                          torch_dtype=torch_dtype).to(self.device)
        self.generator = torch.Generator(self.device)

change above code with this inside custom_nodes/ComfyUI_VLM_nodes/nodes/audioldm2.py

class AudioLDM2ModelPredictor:
   
   def __init__(self):
       from diffusers import AudioLDM2Pipeline
       self.device = "cuda" if torch.cuda.is_available() else "cpu"
       torch_dtype = torch.float16 if self.device == "cuda" else torch.float32

       # Use snapshot_download to manage the model download/cache
       self.model_path = files_for_audio_model

       self.pipeline = AudioLDM2Pipeline.from_pretrained(self.model_path, 
                                                         torch_dtype=torch_dtype).to(self.device)
       self.generator = torch.Generator(self.device)

Thank you very much for the author's guidance, according to your setting is successful! One reason for the installation failure is the local path setting, and another reason is that the downloaded configuration file name is not the same as his program, such as the language model folder in the configuration file is config.json, and the download from huggingface is language_model_config.json

from comfyui_vlm_nodes.

if you are sure about you download the all of the files. change local_files_only=True in the audiolmd2.py inside ComfyUI_VLM_nodes/nodes folder

from comfyui_vlm_nodes.

if you are sure about you download the all of the files. change local_files_only=True in the audiolmd2.py inside ComfyUI_VLM_nodes/nodes folder

Yes, I downloaded all files related to audioldm2, but I still can't run this node. The file structure on hugging face is maintained in the folder "files_for_audioldm2". Can u share the structures and content of this folder, plz?

ps, even though I rewrote the option of "local_files_only", it didn't work.

The error:
Cannot find an appropriate cached snapshot folder for the specified revision on the local disk and outgoing traffic has been disabled. To enable repo look-ups and downloads online, pass 'local_files_only=False' as input.

from comfyui_vlm_nodes.

this is the structure, as same as you, it is 4.17 gb.

class AudioLDM2ModelPredictor:
    
    def __init__(self):
        from diffusers import AudioLDM2Pipeline
        self.device = "cuda" if torch.cuda.is_available() else "cpu"
        torch_dtype = torch.float16 if self.device == "cuda" else torch.float32

        # Use snapshot_download to manage the model download/cache
        self.model_path = snapshot_download("cvssp/audioldm2",
                                            local_dir=files_for_audio_model,
                                            force_download=False,  # Set to True to always download
                                            local_files_only=False,  # Download if not available locally
                                            use_auth_token=False,  # Set to True if using a private model
                                            local_dir_use_symlinks="auto",  # Auto-manage symlinks
                                            ignore_patterns=["*.bin", "*.jpg", "*.png"])  # Ignore unrelated files

        self.pipeline = AudioLDM2Pipeline.from_pretrained(self.model_path, 
                                                          torch_dtype=torch_dtype).to(self.device)
        self.generator = torch.Generator(self.device)

change above code with this inside custom_nodes/ComfyUI_VLM_nodes/nodes/audioldm2.py

class AudioLDM2ModelPredictor:
   
   def __init__(self):
       from diffusers import AudioLDM2Pipeline
       self.device = "cuda" if torch.cuda.is_available() else "cpu"
       torch_dtype = torch.float16 if self.device == "cuda" else torch.float32

       # Use snapshot_download to manage the model download/cache
       self.model_path = files_for_audio_model

       self.pipeline = AudioLDM2Pipeline.from_pretrained(self.model_path, 
                                                         torch_dtype=torch_dtype).to(self.device)
       self.generator = torch.Generator(self.device)

from comfyui_vlm_nodes.