AnyImage/src/snapform/server/model_catalog.py

from dataclasses import dataclass


@dataclass(frozen=True)
class ModelSpec:
    key: str
    label: str
    directory_name: str
    repository: str
    license_name: str
    description: str
    supports_gs: bool
    download_patterns: tuple[str, ...] = ()
    ready_patterns: tuple[str, ...] = ("config.json", "*.safetensors")
    enabled: bool = True
    r2_directory: str = ""
    r2_files: tuple[tuple[str, int, str], ...] = ()


MODELS = {
    "SMALL": ModelSpec(
        key="SMALL",
        label="DA3 Small",
        directory_name="DA3-SMALL",
        repository="depth-anything/DA3-SMALL",
        license_name="Apache 2.0",
        description="Fastest any-view model using ONNX Runtime",
        supports_gs=False,
        download_patterns=("model.onnx",),
        ready_patterns=("model.onnx",),
        r2_directory="DA3-SMALL",
        r2_files=(
            ("model.onnx", 105484029, "7a9d81475b3e2334ace0d6d2c2a816b3c93081437e1866cc434ce1789125f631"),
        ),
    ),
    "BASE": ModelSpec(
        key="BASE",
        label="DA3 Base",
        directory_name="DA3-BASE",
        repository="depth-anything/DA3-BASE",
        license_name="Apache 2.0",
        description="Balanced any-view model using ONNX Runtime",
        supports_gs=False,
        download_patterns=("model.onnx",),
        ready_patterns=("model.onnx",),
        r2_directory="DA3-BASE",
        r2_files=(
            ("model.onnx", 412856697, "31f38fc4990539d7902ba267924b9731db1acb00d840c248a60b1865810ff9e6"),
        ),
    ),
    "GIANT_1_1": ModelSpec(
        key="GIANT_1_1",
        label="DA3 Giant 1.1",
        directory_name="da3_giant_1_1",
        repository="depth-anything/DA3-GIANT-1.1",
        license_name="CC BY-NC 4.0",
        description="Non-commercial Giant model with Gaussian head",
        supports_gs=True,
        enabled=False,
    ),
    "NESTED_GIANT_LARGE_1_1": ModelSpec(
        key="NESTED_GIANT_LARGE_1_1",
        label="DA3 Nested Giant Large 1.1",
        directory_name="da3_nested_giant_large_1_1",
        repository="depth-anything/DA3NESTED-GIANT-LARGE-1.1",
        license_name="CC BY-NC 4.0",
        description="Non-commercial nested model with metric depth and Gaussian head",
        supports_gs=True,
        enabled=False,
    ),
}

BEN2_MODEL = ModelSpec(
    key="BEN2_BASE",
    label="BEN2 Base",
    directory_name="BEN2-ONNX",
    repository="onnx-community/BEN2-ONNX",
    license_name="Apache 2.0",
    description="Fast high-quality FP16 ONNX background removal model",
    supports_gs=False,
    download_patterns=("onnx/model_fp16.onnx",),
    ready_patterns=("onnx/model_fp16.onnx",),
    r2_directory="BEN2-ONNX",
    r2_files=((
        "onnx/model_fp16.onnx",
        219121675,
        "dfdc25f421f32a0d1268e0f2ff2153d340e8f1d52d3dd16f5dc33c1ce85cedf1",
    ),),
)


MOGE2_MODELS = {
    "MOGE2_VITS_NORMAL": ModelSpec(
        key="MOGE2_VITS_NORMAL",
        label="MoGe-2 ViT-S Normal",
        directory_name="moge-2-vits-normal-onnx",
        repository="Ruicheng/moge-2-vits-normal-onnx",
        license_name="MIT",
        description="Fastest MoGe-2 model using ONNX Runtime",
        supports_gs=False,
        download_patterns=("model.onnx",),
        ready_patterns=("model.onnx",),
        r2_directory="moge-2-vits-normal-onnx",
        r2_files=((
            "model.onnx",
            140852051,
            "24eacb5dc7a2c54c7bc98f7de085ffbed79ad006ea5b664c2c2cdc02ff3a52f0",
        ),),
    ),
    "MOGE2_VITB_NORMAL": ModelSpec(
        key="MOGE2_VITB_NORMAL",
        label="MoGe-2 ViT-B Normal",
        directory_name="moge-2-vitb-normal-onnx",
        repository="Ruicheng/moge-2-vitb-normal-onnx",
        license_name="MIT",
        description="Balanced MoGe-2 model using ONNX Runtime",
        supports_gs=False,
        download_patterns=("model.onnx",),
        ready_patterns=("model.onnx",),
        r2_directory="moge-2-vitb-normal-onnx",
        r2_files=((
            "model.onnx",
            419411850,
            "bbf14e07a30f11e69d36ab861590123f5598ababcbc8946a063eb4a966f35a21",
        ),),
    ),
    "MOGE2_VITL_NORMAL": ModelSpec(
        key="MOGE2_VITL_NORMAL",
        label="MoGe-2 ViT-L Normal",
        directory_name="moge-2-vitl-normal-onnx",
        repository="Ruicheng/moge-2-vitl-normal-onnx",
        license_name="MIT",
        description="Highest-quality MoGe-2 model using ONNX Runtime",
        supports_gs=False,
        download_patterns=("model.onnx",),
        ready_patterns=("model.onnx",),
        r2_directory="moge-2-vitl-normal-onnx",
        r2_files=((
            "model.onnx",
            1324265014,
            "afbc4ccc3450298f3afb35b90f015f4c4f552dea21dc6470d5f7b78b77e2d751",
        ),),
    ),
}
MOGE2_MODEL = MOGE2_MODELS["MOGE2_VITS_NORMAL"]
DOWNLOADABLE_MODELS = {
    **MODELS,
    BEN2_MODEL.key: BEN2_MODEL,
    **MOGE2_MODELS,
}
MODEL_NUMBERS = {
    model_key: number for number, model_key in enumerate(MODELS)
}


def get_model(model_key):
    try:
        return MODELS[model_key]
    except KeyError as error:
        raise ValueError(f"Unknown DA3 model: {model_key}") from error


def get_downloadable_model(model_key):
    try:
        return DOWNLOADABLE_MODELS[model_key]
    except KeyError as error:
        raise ValueError(f"Unknown model: {model_key}") from error


def model_directory_name(model_key):
    """Return the model's folder name inside the shared models directory."""
    return get_downloadable_model(model_key).directory_name


def model_record(model, ready=False):
    """Return public model metadata exposed by the Models Resource."""
    return {
        "key": model.key,
        "label": model.label,
        "description": model.description,
        "license": model.license_name,
        "supports_gs": model.supports_gs,
        "enabled": model.enabled,
        "family": "moge2" if model.key.startswith("MOGE2_") else (
            "ben2" if model.key == BEN2_MODEL.key else "da3"
        ),
        "ready": bool(ready),
    }