5f95115e70
Signed-off-by: leffff <levnovitskiy@gmail.com> Signed-off-by: Artem Borisov <divotionchannel@gmail.com> Co-authored-by: leffff <levnovitskiy@gmail.com> Co-authored-by: Artem Borisov <divotionchannel@gmail.com>
90 lines
2.5 KiB
Python
90 lines
2.5 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
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"""Online smoke for Kandinsky 6 TI2VA via ``/v1/videos``.
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Short geometry so the job finishes inside the helper's default 300 s poll.
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"""
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import os
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from pathlib import Path
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import pytest
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from tests.helpers.mark import hardware_marks
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from tests.helpers.runtime import OmniServer, OmniServerParams, OnlineOmniClient, get_model_prefix
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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_HUB_MODEL = "kandinskylab/Kandinsky-6.0-Pro-5s-Diffusers"
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_LOCAL_BUNDLE = Path(__file__).resolve().parents[4] / "kandinsky6_bundle"
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def _resolve_model() -> str:
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env = os.environ.get("KANDINSKY6_MODEL")
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if env:
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return env
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if _LOCAL_BUNDLE.is_dir():
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return str(_LOCAL_BUNDLE)
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return _HUB_MODEL
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def _checkpoint_on_disk(model: str) -> bool:
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if Path(model).is_dir():
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return True
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prefix = get_model_prefix()
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return bool(prefix) and Path(prefix + model).is_dir()
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MODEL = _resolve_model()
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PROMPT = "A golden retriever runs along a sunny beach, waves crashing."
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pytestmark = [
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pytest.mark.skipif(
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not _checkpoint_on_disk(MODEL),
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reason=(
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"Kandinsky 6 Diffusers weights are gated. Set KANDINSKY6_MODEL or "
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"MODEL_PREFIX to a local copy of "
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"kandinskylab/Kandinsky-6.0-Pro-5s-Diffusers."
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),
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),
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]
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SINGLE_CARD_FEATURE_MARKS = hardware_marks(res={"cuda": "H100"})
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def _get_diffusion_feature_cases(model: str):
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return [
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pytest.param(
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OmniServerParams(
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model=model,
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server_args=["--enable-cpu-offload", "--enforce-eager"],
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init_timeout=3600,
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stage_init_timeout=3600,
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),
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id="cpu_offload",
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marks=SINGLE_CARD_FEATURE_MARKS,
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),
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]
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@pytest.mark.advanced_model
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@pytest.mark.diffusion
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@pytest.mark.parametrize("omni_server", _get_diffusion_feature_cases(MODEL), indirect=True)
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def test_text_to_video_and_audio_001(omni_server: OmniServer, online_client: OnlineOmniClient) -> None:
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"""Short TI2VA job completes and returns an MP4."""
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request_config = {
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"model": omni_server.model,
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"form_data": {
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"prompt": PROMPT,
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"height": 256,
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"width": 256,
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"num_frames": 5,
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"fps": 24,
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"num_inference_steps": 2,
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"guidance_scale": 5.0,
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"seed": 42,
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},
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}
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online_client.send_video_diffusion_request(request_config)
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