640 lines
23 KiB
Python
640 lines
23 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import pytest
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from fastvideo.api.errors import ConfigValidationError
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from fastvideo.api.presets import (
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InferencePreset,
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PresetStageSpec,
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get_all_preset_names,
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get_preset,
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get_presets_for_family,
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register_preset,
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validate_preset_selection,
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validate_stage_names,
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validate_stage_overrides,
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)
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# -------------------------------------------------------------------
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# Fixtures
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# -------------------------------------------------------------------
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@pytest.fixture()
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def _isolated_registry():
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"""Run each test with an empty preset registry, restoring after."""
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from fastvideo.api.presets import _PRESET_REGISTRY
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saved = dict(_PRESET_REGISTRY)
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_PRESET_REGISTRY.clear()
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yield
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_PRESET_REGISTRY.clear()
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_PRESET_REGISTRY.update(saved)
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_SIMPLE_STAGE = PresetStageSpec(
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name="denoise",
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kind="denoising",
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allowed_overrides=frozenset({"num_inference_steps", "guidance_scale"}),
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)
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_SR_STAGE = PresetStageSpec(
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name="sr",
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kind="super_resolution",
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allowed_overrides=frozenset({"height_sr", "width_sr"}),
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)
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_NO_OVERRIDES_STAGE = PresetStageSpec(
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name="encode",
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kind="text_encoding",
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)
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def _make_preset(
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name: str = "test_preset",
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version: int = 1,
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model_family: str = "test",
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stage_schemas: tuple[PresetStageSpec, ...] = (_SIMPLE_STAGE, ),
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**kwargs,
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) -> InferencePreset:
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return InferencePreset(
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name=name,
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version=version,
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model_family=model_family,
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stage_schemas=stage_schemas,
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**kwargs,
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)
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# -------------------------------------------------------------------
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# Registration and lookup
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# -------------------------------------------------------------------
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class TestRegistration:
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@pytest.mark.usefixtures("_isolated_registry")
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def test_register_and_get(self) -> None:
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p = _make_preset()
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register_preset(p)
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assert get_preset("test_preset", "test") is p
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_with_explicit_version(self) -> None:
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p = _make_preset(version=2)
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register_preset(p)
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assert get_preset("test_preset", "test", version=2) is p
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_latest_version(self) -> None:
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p1 = _make_preset(version=1)
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p2 = _make_preset(version=2)
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register_preset(p1)
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register_preset(p2)
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assert get_preset("test_preset", "test") is p2
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_missing_raises(self) -> None:
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with pytest.raises(ConfigValidationError, match="unknown preset"):
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get_preset("nope", "test")
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_wrong_version_raises(self) -> None:
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register_preset(_make_preset(version=1))
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with pytest.raises(ConfigValidationError, match="version"):
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get_preset("test_preset", "test", version=99)
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@pytest.mark.usefixtures("_isolated_registry")
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def test_duplicate_raises(self) -> None:
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register_preset(_make_preset())
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with pytest.raises(ValueError, match="Duplicate"):
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register_preset(_make_preset())
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_presets_for_family(self) -> None:
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register_preset(_make_preset(name="a"))
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register_preset(_make_preset(name="b"))
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register_preset(_make_preset(
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name="c", model_family="other"))
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result = get_presets_for_family("test")
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assert {p.name for p in result} == {"a", "b"}
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@pytest.mark.usefixtures("_isolated_registry")
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def test_get_all_preset_names(self) -> None:
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register_preset(_make_preset(name="beta"))
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register_preset(_make_preset(name="alpha"))
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assert get_all_preset_names() == ["alpha", "beta"]
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# -------------------------------------------------------------------
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# Stage-name validation
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# -------------------------------------------------------------------
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class TestStageNameValidation:
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def test_valid_stage_name_passes(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, _SR_STAGE))
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validate_stage_names(
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preset, {"denoise": {}, "sr": {}})
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def test_unknown_stage_name_raises(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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with pytest.raises(
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ConfigValidationError, match="stage_overrides.bogus"
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):
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validate_stage_names(preset, {"bogus": {}})
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def test_empty_overrides_passes(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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validate_stage_names(preset, {})
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def test_error_lists_valid_stages(self) -> None:
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preset = _make_preset(
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stage_schemas=(_SIMPLE_STAGE, _SR_STAGE))
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with pytest.raises(
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ConfigValidationError, match="'denoise'"
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):
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validate_stage_names(preset, {"nope": {}})
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# -------------------------------------------------------------------
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# Stage-override validation
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# -------------------------------------------------------------------
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class TestStageOverrideValidation:
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def test_allowed_override_passes(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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validate_stage_overrides(
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preset,
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{"denoise": {"num_inference_steps": 25}},
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)
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def test_disallowed_override_raises(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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with pytest.raises(
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ConfigValidationError,
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match="stage_overrides.denoise.height",
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):
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validate_stage_overrides(
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preset,
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{"denoise": {"height": 720}},
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)
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def test_override_on_stage_with_no_allowed_raises(self) -> None:
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preset = _make_preset(stage_schemas=(_NO_OVERRIDES_STAGE, ))
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with pytest.raises(
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ConfigValidationError,
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match="does not accept overrides",
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):
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validate_stage_overrides(
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preset,
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{"encode": {"some_key": 1}},
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)
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def test_empty_override_on_no_allowed_passes(self) -> None:
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preset = _make_preset(stage_schemas=(_NO_OVERRIDES_STAGE, ))
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validate_stage_overrides(preset, {"encode": {}})
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def test_non_mapping_override_raises(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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with pytest.raises(ConfigValidationError, match="mapping"):
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validate_stage_overrides(
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preset, {"denoise": "not a dict"})
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def test_unknown_stage_still_caught(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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with pytest.raises(ConfigValidationError, match="unknown"):
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validate_stage_overrides(
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preset, {"missing_stage": {"a": 1}})
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def test_error_lists_allowed_overrides(self) -> None:
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preset = _make_preset(stage_schemas=(_SIMPLE_STAGE, ))
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with pytest.raises(
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ConfigValidationError, match="guidance_scale"
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):
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validate_stage_overrides(
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preset,
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{"denoise": {"bad_key": 1}},
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)
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# -------------------------------------------------------------------
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# validate_preset_selection end-to-end
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# -------------------------------------------------------------------
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class TestValidatePresetSelection:
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@pytest.mark.usefixtures("_isolated_registry")
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def test_none_preset_returns_none(self) -> None:
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assert validate_preset_selection(
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None, "test") is None
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@pytest.mark.usefixtures("_isolated_registry")
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def test_valid_preset_resolves(self) -> None:
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p = _make_preset()
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register_preset(p)
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result = validate_preset_selection(
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"test_preset", "test")
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assert result is p
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@pytest.mark.usefixtures("_isolated_registry")
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def test_valid_preset_with_overrides(self) -> None:
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p = _make_preset()
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register_preset(p)
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result = validate_preset_selection(
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"test_preset",
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"test",
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stage_overrides={"denoise": {"guidance_scale": 2.0}},
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)
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assert result is p
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@pytest.mark.usefixtures("_isolated_registry")
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def test_invalid_preset_raises(self) -> None:
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with pytest.raises(ConfigValidationError, match="unknown"):
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validate_preset_selection("nope", "test")
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@pytest.mark.usefixtures("_isolated_registry")
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def test_bad_stage_override_raises(self) -> None:
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register_preset(_make_preset())
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with pytest.raises(ConfigValidationError):
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validate_preset_selection(
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"test_preset",
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"test",
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stage_overrides={"denoise": {"bad": 1}},
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)
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# -------------------------------------------------------------------
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# Wan preset integration (uses real registry)
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# -------------------------------------------------------------------
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class TestWanPresets:
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"""Verify the Wan presets registered from registry.py."""
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def test_wan_presets_are_registered(self) -> None:
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# Force registration by importing registry.
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("wan")
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names = {p.name for p in presets}
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assert "wan_t2v_1_3b" in names
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assert "wan_t2v_14b" in names
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assert "wan_i2v_14b_480p" in names
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assert "wan_2_2_t2v_a14b" in names
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def test_wan_t2v_1_3b_lookup(self) -> None:
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import fastvideo.registry # noqa: F401
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preset = get_preset("wan_t2v_1_3b", "wan")
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assert preset.model_family == "wan"
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assert preset.workload_type == "t2v"
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assert len(preset.stage_schemas) == 1
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assert preset.stage_schemas[0].name == "denoise"
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assert preset.defaults["height"] == 480
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assert preset.defaults["width"] == 832
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def test_wan_2_2_allows_dual_guidance(self) -> None:
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import fastvideo.registry # noqa: F401
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preset = get_preset("wan_2_2_t2v_a14b", "wan")
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stage = preset.stage_schemas[0]
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assert "guidance_scale_2" in stage.allowed_overrides
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assert "boundary_ratio" in stage.allowed_overrides
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def test_wan_stage_override_validation(self) -> None:
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import fastvideo.registry # noqa: F401
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preset = get_preset("wan_t2v_14b", "wan")
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# Valid override.
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validate_stage_overrides(
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preset,
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{"denoise": {"num_inference_steps": 25}},
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)
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# Invalid override key.
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with pytest.raises(ConfigValidationError):
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validate_stage_overrides(
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preset,
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{"denoise": {"height": 1080}},
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)
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def test_wan_model_family_in_registry(self) -> None:
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from fastvideo.registry import get_model_family
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family = get_model_family(
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"Wan-AI/Wan2.1-T2V-1.3B-Diffusers")
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assert family == "wan"
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# -------------------------------------------------------------------
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# LTX2 preset integration
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# -------------------------------------------------------------------
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class TestLtx2Presets:
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def test_ltx2_presets_registered(self) -> None:
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("ltx2")
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names = {p.name for p in presets}
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assert names == {"ltx2_base", "ltx2_3_base", "ltx2_distilled", "ltx2_two_stage"}
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def test_ltx2_base_lookup(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("ltx2_base", "ltx2")
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assert p.workload_type == "t2v"
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assert p.defaults["height"] == 512
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assert p.defaults["width"] == 768
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def test_ltx2_distilled_fewer_steps(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("ltx2_distilled", "ltx2")
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assert p.defaults["num_inference_steps"] == 8
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assert p.defaults["guidance_scale"] == 1.0
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def test_ltx2_two_stage_is_two_stage(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("ltx2_two_stage", "ltx2")
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assert len(p.stage_schemas) == 2
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assert p.stage_schemas[0].name == "denoise"
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assert p.stage_schemas[1].name == "refine"
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assert p.stage_schemas[1].kind == "refinement"
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def test_ltx2_two_stage_stage_defaults(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("ltx2_two_stage", "ltx2")
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refine = p.stage_defaults["refine"]
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# stage-2 refine only supports 2 or 3 denoising steps; preset
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# defaults to 2 (matches gpu_pool.py load_kwargs).
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assert refine["num_inference_steps"] == 2
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assert refine["guidance_scale"] == 1.0
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def test_ltx2_two_stage_refine_overrides_valid(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("ltx2_two_stage", "ltx2")
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validate_stage_overrides(
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p, {"refine": {"num_inference_steps": 3}})
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validate_stage_overrides(
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p, {"refine": {"guidance_scale": 1.0}})
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validate_stage_overrides(
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p, {"refine": {"image_crf": 18}})
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validate_stage_overrides(
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p, {"refine": {"video_position_offset_sec": 2.5}})
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def test_ltx2_two_stage_rejects_unknown_refine_override(self) -> None:
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import fastvideo.registry # noqa: F401
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from fastvideo.api.errors import ConfigValidationError
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p = get_preset("ltx2_two_stage", "ltx2")
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with pytest.raises(ConfigValidationError):
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validate_stage_overrides(
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p, {"refine": {"bogus_field": 1}})
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# -------------------------------------------------------------------
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# Hunyuan preset integration
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# -------------------------------------------------------------------
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class TestHunyuanPresets:
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def test_hunyuan_presets_registered(self) -> None:
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("hunyuan")
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names = {p.name for p in presets}
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assert names == {"hunyuan_t2v", "fast_hunyuan_t2v"}
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def test_fast_hunyuan_fewer_steps(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("fast_hunyuan_t2v", "hunyuan")
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assert p.defaults["num_inference_steps"] == 6
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# -------------------------------------------------------------------
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# Hunyuan15 preset integration (includes two-stage SR)
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# -------------------------------------------------------------------
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class TestHunyuan15Presets:
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def test_hunyuan15_presets_registered(self) -> None:
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("hunyuan15")
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assert len(presets) == 5
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def test_hunyuan15_sr_is_two_stage(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("hunyuan15_sr_1080p", "hunyuan15")
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assert len(p.stage_schemas) == 2
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assert p.stage_schemas[0].name == "denoise"
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assert p.stage_schemas[1].name == "sr"
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assert p.stage_schemas[1].kind == "super_resolution"
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def test_hunyuan15_sr_stage_defaults(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("hunyuan15_sr_1080p", "hunyuan15")
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sr = p.stage_defaults["sr"]
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assert sr["height_sr"] == 1072
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assert sr["width_sr"] == 1920
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def test_hunyuan15_sr_stage_override_validation(self) -> None:
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import fastvideo.registry # noqa: F401
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p = get_preset("hunyuan15_sr_1080p", "hunyuan15")
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# Valid: override sr num_inference_steps.
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validate_stage_overrides(
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p, {"sr": {"num_inference_steps": 12}})
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# Invalid: height not in sr allowed_overrides.
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with pytest.raises(ConfigValidationError):
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validate_stage_overrides(
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p, {"sr": {"height": 1080}})
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# -------------------------------------------------------------------
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# Cosmos / Cosmos25 preset integration
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# -------------------------------------------------------------------
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class TestCosmosPresets:
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def test_cosmos_preset_registered(self) -> None:
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("cosmos")
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assert len(presets) == 1
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assert presets[0].name == "cosmos_predict2_2b"
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def test_cosmos25_separate_family(self) -> None:
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import fastvideo.registry # noqa: F401
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presets = get_presets_for_family("cosmos25")
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assert len(presets) == 1
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assert presets[0].name == "cosmos25_predict2_2b"
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def test_cosmos25_2b_path_resolves_to_preset(self) -> None:
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"""Regression: the Cosmos-Predict2.5 2B model path must select the
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cosmos25 preset (guidance_scale=7.0), not fall back to the generic
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default (guidance_scale=1.0) which produced blurry output.
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"""
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import fastvideo.registry # noqa: F401
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from fastvideo.api.sampling_param import SamplingParam
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sp = SamplingParam.from_pretrained(
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"KyleShao/Cosmos-Predict2.5-2B-Diffusers")
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assert sp.guidance_scale == 7.0
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assert sp.num_inference_steps == 35
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def test_cosmos_and_cosmos25_different_fps(self) -> None:
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import fastvideo.registry # noqa: F401
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c = get_preset("cosmos_predict2_2b", "cosmos")
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c25 = get_preset("cosmos25_predict2_2b", "cosmos25")
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assert c.defaults["fps"] == 16
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assert c25.defaults["fps"] == 24
|
|
|
|
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# -------------------------------------------------------------------
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# TurboDiffusion preset integration
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|
# -------------------------------------------------------------------
|
|
|
|
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class TestTurboDiffusionPresets:
|
|
|
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def test_turbo_presets_registered(self) -> None:
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import fastvideo.registry # noqa: F401
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|
presets = get_presets_for_family("turbodiffusion")
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|
names = {p.name for p in presets}
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|
assert names == {
|
|
"turbo_t2v_1_3b",
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|
"turbo_t2v_14b",
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|
"turbo_i2v_a14b",
|
|
}
|
|
|
|
def test_turbo_4_step(self) -> None:
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|
import fastvideo.registry # noqa: F401
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|
p = get_preset("turbo_t2v_14b", "turbodiffusion")
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|
assert p.defaults["num_inference_steps"] == 4
|
|
assert p.defaults["guidance_scale"] == 1.0
|
|
|
|
|
|
# -------------------------------------------------------------------
|
|
# SD35 preset integration
|
|
# -------------------------------------------------------------------
|
|
|
|
|
|
class TestSD35Presets:
|
|
|
|
def test_sd35_preset_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("sd35_medium", "sd35")
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|
assert p.workload_type == "t2i"
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|
assert p.defaults["height"] == 512
|
|
assert p.defaults["num_frames"] == 1
|
|
|
|
|
|
# -------------------------------------------------------------------
|
|
# LingBotWorld preset integration (dual guidance)
|
|
# -------------------------------------------------------------------
|
|
|
|
|
|
class TestLingBotWorldPresets:
|
|
|
|
def test_lingbotworld_dual_guidance(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("lingbotworld_i2v", "lingbotworld")
|
|
stage = p.stage_schemas[0]
|
|
assert "guidance_scale_2" in stage.allowed_overrides
|
|
assert "boundary_ratio" in stage.allowed_overrides
|
|
|
|
def test_lingbotworld_override_validation(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("lingbotworld_i2v", "lingbotworld")
|
|
validate_stage_overrides(
|
|
p, {"denoise": {"boundary_ratio": 0.95}})
|
|
with pytest.raises(ConfigValidationError):
|
|
validate_stage_overrides(
|
|
p, {"denoise": {"height": 720}})
|
|
|
|
|
|
# -------------------------------------------------------------------
|
|
# Remaining single-preset families
|
|
# -------------------------------------------------------------------
|
|
|
|
|
|
class TestSinglePresetFamilies:
|
|
|
|
def test_hyworld_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("hyworld_t2v", "hyworld")
|
|
assert p.workload_type == "t2v"
|
|
|
|
def test_gamecraft_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("gamecraft_i2v", "gamecraft")
|
|
assert p.workload_type == "i2v"
|
|
assert p.defaults["num_frames"] == 33
|
|
|
|
def test_gen3c_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p = get_preset("gen3c_cosmos_7b", "gen3c")
|
|
assert p.defaults["num_inference_steps"] == 35
|
|
|
|
def test_matrixgame_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
p2 = get_preset("matrixgame2_i2v", "matrixgame")
|
|
assert p2.defaults["num_inference_steps"] == 3
|
|
assert p2.defaults["fps"] == 25
|
|
p3 = get_preset("matrixgame3_i2v", "matrixgame")
|
|
assert p3.defaults["num_inference_steps"] == 3
|
|
assert p3.defaults["height"] == 720
|
|
|
|
def test_longcat_presets_registered(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
presets = get_presets_for_family("longcat")
|
|
names = {p.name for p in presets}
|
|
assert names == {
|
|
"longcat_t2v", "longcat_i2v", "longcat_vc"
|
|
}
|
|
|
|
|
|
# -------------------------------------------------------------------
|
|
# Cross-family: total preset count
|
|
# -------------------------------------------------------------------
|
|
|
|
|
|
class TestPresetCountIntegrity:
|
|
|
|
def test_total_preset_count(self) -> None:
|
|
"""At least the baseline 37 presets from 13 families are registered."""
|
|
import fastvideo.registry # noqa: F401
|
|
names = get_all_preset_names()
|
|
assert len(names) >= 37
|
|
|
|
|
|
class TestPresetDefaultTypes:
|
|
"""Preset ``defaults`` values must match the types on
|
|
:class:`SamplingParam`. Assigning ``None`` to a typed-``str`` field
|
|
(e.g. ``negative_prompt``) breaks downstream stages that assert the
|
|
runtime type — see the CFG branch in
|
|
``pipelines/stages/text_encoding.py:81``."""
|
|
|
|
def test_ltx2_cfg_defaults_are_off(self) -> None:
|
|
"""SamplingParam's LTX-2 CFG class defaults must be 1.0 (CFG
|
|
off). ``ForwardBatch.__post_init__`` force-enables
|
|
``do_classifier_free_guidance`` when either
|
|
``ltx2_cfg_scale_video`` or ``ltx2_cfg_scale_audio`` is != 1.0,
|
|
so any non-1.0 default silently forces CFG on for every model
|
|
family that doesn't explicitly override these fields. Guard
|
|
against the regression that surfaced as the TurboDiffusion I2V
|
|
SSIM crash (``text_encoding.py:81`` assertion on
|
|
``negative_prompt``)."""
|
|
from fastvideo.api.sampling_param import SamplingParam
|
|
sp = SamplingParam()
|
|
assert sp.ltx2_cfg_scale_video == 1.0
|
|
assert sp.ltx2_cfg_scale_audio == 1.0
|
|
|
|
def test_no_preset_sets_negative_prompt_to_none(self) -> None:
|
|
import fastvideo.registry # noqa: F401
|
|
from fastvideo.api.presets import _PRESET_REGISTRY
|
|
offenders = [
|
|
f"{preset.model_family}/{preset.name}"
|
|
for preset in _PRESET_REGISTRY.values()
|
|
if preset.defaults.get("negative_prompt", "") is None
|
|
]
|
|
assert not offenders, (
|
|
"These presets set negative_prompt=None, which violates "
|
|
"SamplingParam.negative_prompt's typed str contract and "
|
|
"crashes the CFG path in text_encoding. Use \"\" instead:\n"
|
|
+ "\n".join(f" - {p}" for p in offenders))
|