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add depth-anything controlnet

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This commit is contained in:
Vladimir Mandic
2024-01-23 14:15:07 -05:00
parent f83f4edb0b
commit edf1dc68f4
6 changed files with 39 additions and 21 deletions
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modules/control/units/controlnet.py
+17 -8
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@@ -25,6 +25,7 @@ predefined_sd15 = {
'Shuffle': "lllyasviel/control_v11e_sd15_shuffle",
'SoftEdge': "lllyasviel/control_v11p_sd15_softedge",
'Tile': "lllyasviel/control_v11f1e_sd15_tile",
'Depth Anything': 'vladmandic/depth-anything',
'Canny FP16': 'Aptronym/SDNext/ControlNet11/controlnet11Models_canny.safetensors',
'Inpaint FP16': 'Aptronym/SDNext/ControlNet11/controlnet11Models_inpaint.safetensors',
'LineArt Anime FP16': 'Aptronym/SDNext/ControlNet11/controlnet11Models_animeline.safetensors',
@@ -116,21 +117,29 @@ class ControlNet():
def load_safetensors(self, model_path):
name = os.path.splitext(model_path)[0]
yaml_path = None
config_path = None
if not os.path.exists(model_path):
import huggingface_hub as hf
parts = model_path.split('/')
repo_id = f'{parts[0]}/{parts[1]}'
filename = os.path.splitext('/'.join(parts[2:]))[0]
model_path = hf.hf_hub_download(repo_id=repo_id, filename=f'{filename}.safetensors', cache_dir=cache_dir)
try:
yaml_path = hf.hf_hub_download(repo_id=repo_id, filename=f'{filename}.yaml', cache_dir=cache_dir)
except Exception:
pass # no yaml file
if config_path is None:
try:
config_path = hf.hf_hub_download(repo_id=repo_id, filename=f'{filename}.yaml', cache_dir=cache_dir)
except Exception:
pass # no yaml file
if config_path is None:
try:
config_path = hf.hf_hub_download(repo_id=repo_id, filename=f'{filename}.json', cache_dir=cache_dir)
except Exception:
pass # no yaml file
elif os.path.exists(name + '.yaml'):
yaml_path = f'{name}.yaml'
if yaml_path is not None:
self.load_config['original_config_file '] = yaml_path
config_path = f'{name}.yaml'
elif os.path.exists(name + '.json'):
config_path = f'{name}.json'
if config_path is not None:
self.load_config['original_config_file '] = config_path
self.model = ControlNetModel.from_single_file(model_path, **self.load_config)
def load(self, model_id: str = None) -> str: