EveryDream2trainer/utils/huggingface_downloader.py

35 lines
1.3 KiB
Python

import logging
import os
from typing import Optional, Tuple
import huggingface_hub
from diffusers import StableDiffusionPipeline
from utils.analyze_unet import get_attn_yaml
def try_download_model_from_hf(repo_id: str) -> Tuple[StableDiffusionPipeline, str, bool, str] | None:
"""
Attempts to download files from the following subfolders under the given repo id:
"text_encoder", "vae", "unet", "scheduler", "tokenizer".
:param repo_id The repository id of the model on huggingface, such as 'stabilityai/stable-diffusion-2-1' which
corresponds to `https://huggingface.co/stabilityai/stable-diffusion-2-1`.
:param access_token Access token to use when fetching. If None, uses environment-saved token.
:return: Root folder on disk to the downloaded files, or None if download failed.
"""
access_token = os.environ.get('HF_API_TOKEN', None)
if access_token is not None:
huggingface_hub.login(access_token)
# check if the model exists
model_info = huggingface_hub.model_info(repo_id)
if model_info is None:
return None
# load it to download it
pipe, cache_folder = StableDiffusionPipeline.from_pretrained(repo_id, return_cached_folder=True)
is_sd1_attn, yaml_path = get_attn_yaml(cache_folder)
return pipe, cache_folder, is_sd1_attn, yaml_path