wangyuandHuang, Zeyu
6f2ad7b403
Signed-off-by: wangyu <410167048@qq.com> Signed-off-by: Huang, Zeyu <11222265+fhfuih@users.noreply.github.com> Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com> Co-authored-by: Huang, Zeyu <11222265+fhfuih@users.noreply.github.com>
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.runtime import OmniRunnerHandler
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from vllm_omni.inputs.data import OmniDiffusionSamplingParams
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MODEL = "Wan-AI/Wan2.2-T2V-A14B-Diffusers"
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PROMPT = "Two anthropomorphic cats in boxing gear on a spotlighted stage."
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NEGATIVE_PROMPT = "low quality, blurry, watermark, text"
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@pytest.mark.advanced_model
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@pytest.mark.diffusion
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@hardware_test(res={"cuda": "H100", "rocm": "MI325"}, num_cards={"cuda": 1, "rocm": 1})
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@pytest.mark.parametrize("omni_runner", [(MODEL, None)], indirect=True)
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def test_text_to_video_001(omni_runner_handler: OmniRunnerHandler):
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sampling = OmniDiffusionSamplingParams(
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height=512,
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width=512,
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num_frames=8,
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fps=8,
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num_inference_steps=2,
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guidance_scale=4.0,
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seed=42,
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)
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request_config = {
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"model": MODEL,
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"prompt": PROMPT,
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"negative_prompt": NEGATIVE_PROMPT,
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"sampling_params": sampling,
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}
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omni_runner_handler.send_diffusion_request(request_config)
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