i

launch.py

@@ -4,6 +4,7 @@ import platform
 
 from modules.launch_util import commit_hash, fooocus_tag, is_installed, run, python, \
     run_pip, repo_dir, git_clone, requirements_met, script_path, dir_repos
+from modules.model_loader import load_file_from_url
 
 
 REINSTALL_ALL = False
@@ -51,8 +52,21 @@ def prepare_environment():
     return
 
 
-prepare_environment()
+model_file_path = os.path.abspath('./model_files/')
+model_filenames = [
+    ('sd_xl_base_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors'),
+    ('sd_xl_refiner_1.0.safetensors', 'https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/resolve/main/sd_xl_refiner_1.0.safetensors')
+]
 
 
+def download_models():
+    for file_name, url in model_filenames:
+        load_file_from_url(url=url, model_dir=model_file_path, file_name=file_name)
+    return
+
+
+prepare_environment()
+download_models()
+
 from webui import *
 

modules/model_loader.py

@@ -0,0 +1,25 @@
+import os
+from urllib.parse import urlparse
+
+
+def load_file_from_url(
+    url: str,
+    *,
+    model_dir: str,
+    progress: bool = True,
+    file_name: str | None = None,
+) -> str:
+    """Download a file from `url` into `model_dir`, using the file present if possible.
+
+    Returns the path to the downloaded file.
+    """
+    os.makedirs(model_dir, exist_ok=True)
+    if not file_name:
+        parts = urlparse(url)
+        file_name = os.path.basename(parts.path)
+    cached_file = os.path.abspath(os.path.join(model_dir, file_name))
+    if not os.path.exists(cached_file):
+        print(f'Downloading: "{url}" to {cached_file}\n')
+        from torch.hub import download_url_to_file
+        download_url_to_file(url, cached_file, progress=progress)
+    return cached_file