forked from Cutlery/immich
71 lines
1.6 KiB
Python
71 lines
1.6 KiB
Python
from app.config import clean_name
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_OPENCLIP_MODELS = {
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"RN50__openai",
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"RN50__yfcc15m",
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"RN50__cc12m",
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"RN101__openai",
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"RN101__yfcc15m",
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"RN50x4__openai",
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"RN50x16__openai",
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"RN50x64__openai",
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"ViT-B-32__openai",
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"ViT-B-32__laion2b_e16",
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"ViT-B-32__laion400m_e31",
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"ViT-B-32__laion400m_e32",
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"ViT-B-32__laion2b-s34b-b79k",
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"ViT-B-16__openai",
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"ViT-B-16__laion400m_e31",
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"ViT-B-16__laion400m_e32",
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"ViT-B-16-plus-240__laion400m_e31",
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"ViT-B-16-plus-240__laion400m_e32",
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"ViT-L-14__openai",
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"ViT-L-14__laion400m_e31",
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"ViT-L-14__laion400m_e32",
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"ViT-L-14__laion2b-s32b-b82k",
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"ViT-L-14-336__openai",
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"ViT-H-14__laion2b-s32b-b79k",
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"ViT-g-14__laion2b-s12b-b42k",
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"ViT-L-14-quickgelu__dfn2b",
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"ViT-H-14-quickgelu__dfn5b",
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"ViT-H-14-378-quickgelu__dfn5b",
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"XLM-Roberta-Large-ViT-H-14__frozen_laion5b_s13b_b90k",
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"nllb-clip-base-siglip__v1",
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"nllb-clip-large-siglip__v1",
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}
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_MCLIP_MODELS = {
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"LABSE-Vit-L-14",
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"XLM-Roberta-Large-Vit-B-32",
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"XLM-Roberta-Large-Vit-B-16Plus",
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"XLM-Roberta-Large-Vit-L-14",
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}
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_INSIGHTFACE_MODELS = {
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"antelopev2",
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"buffalo_l",
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"buffalo_m",
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"buffalo_s",
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}
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SUPPORTED_PROVIDERS = [
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"CUDAExecutionProvider",
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"OpenVINOExecutionProvider",
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"CPUExecutionProvider",
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]
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def is_openclip(model_name: str) -> bool:
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return clean_name(model_name) in _OPENCLIP_MODELS
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def is_mclip(model_name: str) -> bool:
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return clean_name(model_name) in _MCLIP_MODELS
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def is_insightface(model_name: str) -> bool:
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return clean_name(model_name) in _INSIGHTFACE_MODELS
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