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: 1,166 Bytes
af0fe5a | 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 | #!/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": "fl2va",
"prompt": $prompt,
"conditions": [
{
"type": "image",
"uri": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/H3_AA_I2VA/gallery/sr_v17_variants_seed42_43_20260724/inputs/4a3a90bf9100_KDmcbkhzYo5sjjxr9FqcVmWVnzb.png",
"role": "keyframe",
"frame_index": 0
}
],
"target": {
"short_edge": 768,
"aspect_ratio": "auto",
"duration_seconds": 8
},
"seed": 0
}' |
curl --silent --show-error \
--request POST \
--url "$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 i2va.mp4
|