vdn minimax h3

vdn minimax h3 from OpenVDN. Source-based hardware guidance from its published configuration.

EstimatedRepository opened Sep 2, 2026Source checked 9/23/2026Version: 50744d80

LOCALRENTED GPUOPEN WEIGHTS

At a glance

Architecture: unknown
License: minimax-h3-community-license-agreement
Software: Diffusers, SGLang

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Ways to run it

Diffusers · See official guide

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

import torch
from accelerate import cpu_offload_with_hook
from diffusers import ModularPipeline
from diffusers.hooks import apply_group_offloading

pipe = ModularPipeline.from_pretrained("OpenVDN/vdn-minimax-h3", workflow="t2va")
pipe.load_components(trust_remote_code=True, torch_dtype=torch.bfloat16)

apply_group_offloading(pipe.text_encoder, onload_device="cuda", offload_type="leaf_level",
                       use_stream=True)
_, vae = cpu_offload_with_hook(pipe.vae, execution_device="cuda")
cpu_offload_with_hook(pipe.audio_vae, execution_device="cuda", prev_module_hook=vae)
pipe.transformer.to("cuda")

out = pipe(prompt="a prompt", num_frames=345, num_inference_steps=9,
           output=["videos", "audio", "sampling_rate"])

Official instructions

SGLang · Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

sglang serve  --model-path OpenVDN/vdn-minimax-h3  --num-gpus 8  --quantization fp8  --attention-backend hybrid_window_attn_h3  --performance-mode speed  --warmup-num-frames 345  --warmup-resolutions 1344x768  --port 30010

Official instructions

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