Image-Text-to-Video
Diffusers
Safetensors
MiniMaxH3ModularPipeline
text-to-video
image-to-video
video-to-video
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
video-to-audio-video
audio-to-audio-video
audio-video-generation
multimodal
synchronized-audio-video
reference-to-audio-video
Instructions to use MiniMaxAI/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MiniMaxAI/MiniMax-H3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 1,456 Bytes
5d9b308 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | #!/usr/bin/env bash
set -euo pipefail
# Create the H3-Base request with the expanded prompt and capture the video ID.
video_id=$(
jq -n \
--arg prompt "$EXPANDED_PROMPT" \
'{
"task": "ref2va",
"prompt": $prompt,
"conditions": [
{
"type": "video",
"uri": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/h3_promo_eval_ref2va/gallery/sr_v2p26_trio_seed42_20260724/inputs/297573323635_00_%E8%A7%86%E9%A2%911_YnyRbxEwio_video_20260525_163755_1927e9d3.mp4",
"role": "reference"
},
{
"type": "audio",
"uri": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/h3_promo_eval_ref2va/gallery/sr_v2p26_trio_seed42_20260724/inputs/f463d523c5ce_01_%E9%9F%B3%E9%A2%911_RSLcbpzJPo_6%E6%9C%885%E6%97%A5(1).mp3",
"role": "reference"
}
],
"target": {
"short_edge": 768,
"aspect_ratio": "auto",
"duration_seconds": 5
},
"seed": 0
}' |
curl --silent --show-error \
--request POST \
--url "$SGLANG_DEPLOYMENT_URL/v1/videos" \
--header 'Content-Type: application/json' \
--data-binary @- |
jq -er '.id'
)
# Query the generation status.
curl --silent --show-error \
--request GET \
--url "$SGLANG_DEPLOYMENT_URL/v1/videos/$video_id" |
jq '{status}'
# Download the local H3-Base MP4 after its status becomes completed.
curl --silent --show-error \
--request GET \
--url "$SGLANG_DEPLOYMENT_URL/v1/videos/$video_id/content" \
--output r2va.mp4
|