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[daVinci-MagiHuman][Doc][BugFix] Update model support for daVici-MagiHuman and fix media utils bug #2542

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Merged
princepride merged 1 commit into from
Apr 7, 2026
Merged

[daVinci-MagiHuman][Doc][BugFix] Update model support for daVici-MagiHuman and fix media utils bug #2542

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2 changes: 1 addition & 1 deletion docs/models/supported_models.md
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Expand Up @@ -37,7 +37,7 @@ th {
| `LTX2TwoStagesPipeline` | LTX-2-T2V | `rootonchair/LTX-2-19b-distilled` | ✅︎ | ✅︎ | | |
| `LTX2ImageToVideoTwoStagesPipeline` | LTX-2-I2V | `rootonchair/LTX-2-19b-distilled` | ✅︎ | ✅︎ | | |
| `HeliosPipeline`, `HeliosPyramidPipeline` | Helios | `BestWishYsh/Helios-Base`, `BestWishYsh/Helios-Mid`, `BestWishYsh/Helios-Distilled` | ✅︎ | ✅︎ | ✅︎ | |
| `MagiHumanPipeline` | MagiHuman | `princepride/daVinci-MagiHuman` | ✅︎ | ✅︎ | | |
| `MagiHumanPipeline` | MagiHuman | `SII-GAIR/daVinci-MagiHuman-Base-1080p` | ✅︎ | ✅︎ | | |
| `OvisImagePipeline` | Ovis-Image | `OvisAI/Ovis-Image` | ✅︎ | ✅︎ | | ✅︎ |
| `LongcatImagePipeline` | LongCat-Image | `meituan-longcat/LongCat-Image` | ✅︎ | ✅︎ | ✅︎ | ✅︎ |
| `LongCatImageEditPipeline` | LongCat-Image-Edit | `meituan-longcat/LongCat-Image-Edit` | ✅︎ | ✅︎ | ✅︎ | ✅︎ |
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2 changes: 1 addition & 1 deletion docs/user_guide/diffusion_features.md
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Expand Up @@ -124,7 +124,7 @@ The following tables show which models support each feature:

> Notes:
> 1. Nextstep_1(T2I) does not support cache acceleration methods such as TeaCache or Cache-DiT.
> 2. `Tongyi-MAI/Z-Image-Turbo` and `princepride/daVinci-MagiHuman` are distilled models with minimal NFEs; CFG-Parallel is not necessary.
> 2. `Tongyi-MAI/Z-Image-Turbo` and `SII-GAIR/daVinci-MagiHuman-Base-1080p` are distilled models with minimal NFEs; CFG-Parallel is not necessary.

### VideoGen

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2 changes: 1 addition & 1 deletion tests/e2e/offline_inference/test_magi_human.py
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Expand Up @@ -47,7 +47,7 @@ def test_magi_human_e2e(run_level):
if run_level != "advanced_model":
pytest.skip("MagiHuman e2e test requires advanced_model run level with real weights.")

model_path = "princepride/daVinci-MagiHuman"
model_path = "SII-GAIR/daVinci-MagiHuman-Base-1080p"

omni = Omni(
model=model_path,
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2 changes: 1 addition & 1 deletion vllm_omni/diffusion/utils/media_utils.py
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Expand Up @@ -50,7 +50,7 @@ def mux_video_audio_bytes(
if samples.ndim == 1:
samples = samples.reshape(1, -1)
elif samples.ndim == 2 and samples.shape[0] > samples.shape[1]:
samples = samples.T
samples = np.ascontiguousarray(samples.T)
num_channels = samples.shape[0]
layout = "stereo" if num_channels >= 2 else "mono"
a_stream = container.add_stream(audio_codec, rate=audio_sample_rate)
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