forked from replicate/controlnet
-
Notifications
You must be signed in to change notification settings - Fork 0
/
utils.py
39 lines (35 loc) · 2.36 KB
/
utils.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
import os
from subprocess import call
model_dl_urls = {
"canny": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_canny.pth",
"depth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_depth.pth",
"hed": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_hed.pth",
"normal": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_normal.pth",
"mlsd": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_mlsd.pth",
"openpose": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_openpose.pth",
"scribble": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_scribble.pth",
"seg": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/models/control_sd15_seg.pth",
}
annotator_dl_urls = {
"body_pose_model.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/body_pose_model.pth",
"dpt_hybrid-midas-501f0c75.pt": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/dpt_hybrid-midas-501f0c75.pt",
"hand_pose_model.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/hand_pose_model.pth",
"mlsd_large_512_fp32.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/mlsd_large_512_fp32.pth",
"mlsd_tiny_512_fp32.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/mlsd_tiny_512_fp32.pth",
"network-bsds500.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/network-bsds500.pth",
"upernet_global_small.pth": "https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/upernet_global_small.pth",
}
def download_model(model_name, urls_map):
"""
Download model from huggingface with wget and save to models directory
"""
model_url = urls_map[model_name]
relative_path_to_model = model_url.replace("https://huggingface.co/lllyasviel/ControlNet/resolve/main/", "")
if not os.path.exists(relative_path_to_model):
print(f"Downloading {model_name}...")
call(["wget", "-O", relative_path_to_model, model_url])
def get_state_dict_path(model_name):
"""
Get path to model state dict
"""
return f"./models/control_sd15_{model_name}.pth"