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from huggingface_hub import scan_cache_dir | |
def get_sampler_names(): | |
"""Get sampler name list. | |
Returns: | |
list: sampler name list | |
""" | |
sampler_names = [ | |
"DDIM", | |
"Euler", | |
"Euler a", | |
"DPM2 Karras", | |
"DPM2 a Karras", | |
] | |
return sampler_names | |
def get_sam_model_ids(): | |
"""Get SAM model ids list. | |
Returns: | |
list: SAM model ids list | |
""" | |
sam_model_ids = [ | |
"sam2_hiera_large.pt", | |
"sam2_hiera_base_plus.pt", | |
"sam2_hiera_small.pt", | |
"sam2_hiera_tiny.pt", | |
"sam_vit_h_4b8939.pth", | |
"sam_vit_l_0b3195.pth", | |
"sam_vit_b_01ec64.pth", | |
"sam_hq_vit_h.pth", | |
"sam_hq_vit_l.pth", | |
"sam_hq_vit_b.pth", | |
"FastSAM-x.pt", | |
"FastSAM-s.pt", | |
"mobile_sam.pt", | |
] | |
return sam_model_ids | |
inp_list_from_cache = None | |
def get_inp_model_ids(): | |
"""Get inpainting model ids list. | |
Returns: | |
list: model ids list | |
""" | |
global inp_list_from_cache | |
model_ids = [ | |
"stabilityai/stable-diffusion-2-inpainting", | |
"Uminosachi/dreamshaper_8Inpainting", | |
"Uminosachi/deliberate_v3-inpainting", | |
"Uminosachi/realisticVisionV51_v51VAE-inpainting", | |
"Uminosachi/revAnimated_v121Inp-inpainting", | |
"runwayml/stable-diffusion-inpainting", | |
] | |
if inp_list_from_cache is not None and isinstance(inp_list_from_cache, list): | |
model_ids.extend(inp_list_from_cache) | |
return model_ids | |
try: | |
hf_cache_info = scan_cache_dir() | |
inpaint_repos = [] | |
for repo in hf_cache_info.repos: | |
if repo.repo_type == "model" and "inpaint" in repo.repo_id.lower() and repo.repo_id not in model_ids: | |
inpaint_repos.append(repo.repo_id) | |
inp_list_from_cache = sorted(inpaint_repos, reverse=True, key=lambda x: x.split("/")[-1]) | |
model_ids.extend(inp_list_from_cache) | |
return model_ids | |
except Exception: | |
return model_ids | |
def get_cleaner_model_ids(): | |
"""Get cleaner model ids list. | |
Returns: | |
list: model ids list | |
""" | |
model_ids = [ | |
"lama", | |
"ldm", | |
"zits", | |
"mat", | |
"fcf", | |
"manga", | |
] | |
return model_ids | |
def get_padding_mode_names(): | |
"""Get padding mode name list. | |
Returns: | |
list: padding mode name list | |
""" | |
padding_mode_names = [ | |
"constant", | |
"edge", | |
"reflect", | |
"mean", | |
"median", | |
"maximum", | |
"minimum", | |
] | |
return padding_mode_names | |