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: 1,654 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 48 | #!/usr/bin/env bash
set -euo pipefail
# Create the prompt-expansion task and capture its runtime ID.
task_id=$(
curl --silent --show-error \
--request POST \
--url "$MINIMAX_API_BASE/v2/h3_context_ir" \
--header "Authorization: Bearer $TOKEN" \
--header 'Content-Type: application/json' \
--data '{
"model": "MiniMax-H3",
"content": [
{
"type": "text",
"text": "Character speaks: Follow the wind, live free. Leave worries behind, enjoy the moment. Voice timbre follows reference audio 1."
},
{
"type": "video_url",
"video_url": {
"url": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/h3_promo_eval_ref2va/gallery/sr_v2p26_trio_seed42_20260724/inputs/297573323635_00_%E8%A7%86%E9%A2%911_YnyRbxEwio_video_20260525_163755_1927e9d3.mp4"
},
"role": "reference_video"
},
{
"type": "audio_url",
"audio_url": {
"url": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/h3_promo_eval_ref2va/gallery/sr_v2p26_trio_seed42_20260724/inputs/f463d523c5ce_01_%E9%9F%B3%E9%A2%911_RSLcbpzJPo_6%E6%9C%885%E6%97%A5(1).mp3"
},
"role": "reference_audio"
}
],
"duration": 5,
"ratio": "adaptive"
}' |
jq -er '.task_id'
)
# Query again while the task is queued or running.
context_ir_result=$(
curl --silent --show-error \
--request GET \
--url "$MINIMAX_API_BASE/v2/query/video_generation/$task_id" \
--header "Authorization: Bearer $TOKEN"
)
echo "$context_ir_result" | jq .
# Export the complete expanded prompt for H3-Base and regeneration.
EXPANDED_PROMPT=$(echo "$context_ir_result" | jq -er '.task.content.prompt')
|