update model loader

This commit is contained in:
Artiprocher
2024-10-08 16:46:44 +08:00
parent 892f80c265
commit ec352cfce2
4 changed files with 189 additions and 90 deletions

View File

@@ -8,28 +8,27 @@ from ..configs.model_config import preset_models_on_huggingface, preset_models_o
def download_from_modelscope(model_id, origin_file_path, local_dir):
os.makedirs(local_dir, exist_ok=True)
if os.path.basename(origin_file_path) in os.listdir(local_dir):
print(f" {os.path.basename(origin_file_path)} has been already in {local_dir}.")
return
file_name = os.path.basename(origin_file_path)
if file_name in os.listdir(local_dir):
print(f" {file_name} has been already in {local_dir}.")
else:
print(f" Start downloading {os.path.join(local_dir, os.path.basename(origin_file_path))}")
snapshot_download(model_id, allow_file_pattern=origin_file_path, local_dir=local_dir)
downloaded_file_path = os.path.join(local_dir, origin_file_path)
target_file_path = os.path.join(local_dir, os.path.split(origin_file_path)[-1])
if downloaded_file_path != target_file_path:
shutil.move(downloaded_file_path, target_file_path)
shutil.rmtree(os.path.join(local_dir, origin_file_path.split("/")[0]))
print(f" Start downloading {os.path.join(local_dir, file_name)}")
snapshot_download(model_id, allow_file_pattern=origin_file_path, local_dir=local_dir)
downloaded_file_path = os.path.join(local_dir, origin_file_path)
target_file_path = os.path.join(local_dir, os.path.split(origin_file_path)[-1])
if downloaded_file_path != target_file_path:
shutil.move(downloaded_file_path, target_file_path)
shutil.rmtree(os.path.join(local_dir, origin_file_path.split("/")[0]))
def download_from_huggingface(model_id, origin_file_path, local_dir):
os.makedirs(local_dir, exist_ok=True)
file_name = os.path.basename(origin_file_path)
if file_name in os.listdir(local_dir):
return f"{file_name} has already been downloaded to {local_dir}."
print(f" {file_name} has been already in {local_dir}.")
else:
print(f"Start downloading {os.path.join(local_dir, file_name)}")
print(f" Start downloading {os.path.join(local_dir, file_name)}")
hf_hub_download(model_id, origin_file_path, local_dir=local_dir)
downloaded_file_path = os.path.join(local_dir, origin_file_path)
target_file_path = os.path.join(local_dir, file_name)
if downloaded_file_path != target_file_path:
@@ -51,16 +50,47 @@ website_to_download_fn = {
}
def download_customized_models(
model_id,
origin_file_path,
local_dir,
downloading_priority: List[Preset_model_website] = ["ModelScope", "HuggingFace"],
):
downloaded_files = []
for website in downloading_priority:
# Check if the file is downloaded.
file_to_download = os.path.join(local_dir, os.path.basename(origin_file_path))
if file_to_download in downloaded_files:
continue
# Download
website_to_download_fn[website](model_id, origin_file_path, local_dir)
if os.path.basename(origin_file_path) in os.listdir(local_dir):
downloaded_files.append(file_to_download)
return downloaded_files
def download_models(
model_id_list: List[Preset_model_id] = [],
downloading_priority: List[Preset_model_website] = ["ModelScope", "HuggingFace"],
):
print(f"Downloading models: {model_id_list}")
downloaded_files = []
load_files = []
for model_id in model_id_list:
for website in downloading_priority:
if model_id in website_to_preset_models[website]:
for model_id, origin_file_path, local_dir in website_to_preset_models[website][model_id]:
# Parse model metadata
model_metadata = website_to_preset_models[website][model_id]
if isinstance(model_metadata, list):
file_data = model_metadata
else:
file_data = model_metadata.get("file_list", [])
# Try downloading the model from this website.
model_files = []
for model_id, origin_file_path, local_dir in file_data:
# Check if the file is downloaded.
file_to_download = os.path.join(local_dir, os.path.basename(origin_file_path))
if file_to_download in downloaded_files:
@@ -69,4 +99,13 @@ def download_models(
website_to_download_fn[website](model_id, origin_file_path, local_dir)
if os.path.basename(origin_file_path) in os.listdir(local_dir):
downloaded_files.append(file_to_download)
return downloaded_files
model_files.append(file_to_download)
# If the model is successfully downloaded, break.
if len(model_files) > 0:
if isinstance(model_metadata, dict) and "load_path" in model_metadata:
model_files = model_metadata["load_path"]
load_files.extend(model_files)
break
return load_files

View File

@@ -4,7 +4,7 @@ from torch import Tensor
from typing_extensions import Literal, TypeAlias
from typing import List
from .downloader import download_models, Preset_model_id, Preset_model_website
from .downloader import download_models, download_customized_models, Preset_model_id, Preset_model_website
from .sd_text_encoder import SDTextEncoder
from .sd_unet import SDUNet