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anodyine/vllm-omni
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Code Issues 4 Pull Requests 2 Actions Packages Projects Releases Wiki Activity
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fc8486cf20d9014bb189ffceb042c109f7e6d340
vllm-omni/tests/diffusion/models/wan2_2
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hxhhhlalalaandhyh_hh 9dd36e3afd [NPU][Quant] Add W4A4 MXFP4 online & MXFP4 dual-scale online/offline quantization support for Wan2.2 T2V / I2V inference on Ascend NPU (#3578)
Signed-off-by: hyh_hh <huyinghong1@huawei.com>
Co-authored-by: hyh_hh <huyinghong1@huawei.com>
2026-05-20 06:21:29 +00:00
..
__init__.py
[Model] feat: FastGen DMD2-distilled Wan 2.1 pipelines (T2V, I2V) (#2749)
2026-04-20 21:21:43 +08:00
conftest.py
[Refactor] refactor wan2.2 diffuse && add ut (#2672)
2026-04-17 20:13:49 +08:00
test_create_transformer_quant.py
[NPU][Quant] Add W4A4 MXFP4 online & MXFP4 dual-scale online/offline quantization support for Wan2.2 T2V / I2V inference on Ascend NPU (#3578)
2026-05-20 06:21:29 +00:00
test_wan22_i2v_pipeline.py
[Enhancement]remove duplicate video preprocess in Wan2.2 pipeline (#2963)
2026-04-21 20:33:09 +08:00
test_wan22_pipeline_diffuse.py
[Refactor] refactor wan2.2 diffuse && add ut (#2672)
2026-04-17 20:13:49 +08:00
test_wan22_pipeline_helpers.py
[Refactor] refactor wan2.2 diffuse && add ut (#2672)
2026-04-17 20:13:49 +08:00
test_wan22_vace_pipeline.py
[Refactor] refactor wan2.2 diffuse && add ut (#2672)
2026-04-17 20:13:49 +08:00
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