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import os
from pathlib import Path, PurePosixPath
from huggingface_hub import hf_hub_download
def prepare_base_model():
local_dir = "./pretrained_weights/stable-diffusion-v1-5"
os.makedirs(local_dir, exist_ok=True)
for hub_file in ["unet/config.json", "unet/diffusion_pytorch_model.bin"]:
path = Path(hub_file)
saved_path = local_dir / path
if os.path.exists(saved_path):
continue
hf_hub_download(
repo_id="runwayml/stable-diffusion-v1-5",
subfolder=PurePosixPath(path.parent),
filename=PurePosixPath(path.name),
local_dir=local_dir,
)
def prepare_image_encoder():
local_dir = "./pretrained_weights"
os.makedirs(local_dir, exist_ok=True)
for hub_file in ["image_encoder/config.json", "image_encoder/pytorch_model.bin"]:
path = Path(hub_file)
saved_path = local_dir / path
if os.path.exists(saved_path):
continue
hf_hub_download(
repo_id="lambdalabs/sd-image-variations-diffusers",
subfolder=PurePosixPath(path.parent),
filename=PurePosixPath(path.name),
local_dir=local_dir,
)
def prepare_dwpose():
...
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