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: 1,350 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 | #!/usr/bin/env bash
set -euo pipefail
# Create an 8-second 768P FL2VA video directly and capture its runtime task ID.
task_id=$(
curl --silent --show-error \
--request POST \
--url "$MINIMAX_API_BASE/v2/video_generation" \
--header "Authorization: Bearer $TOKEN" \
--header 'Content-Type: application/json' \
--data '{
"model": "MiniMax-H3",
"content": [
{
"type": "text",
"text": "Pull focus to the people in the background and add more steam to the ramen bowl."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.hailuoai.com/prod/hailuo_demo/testsets/H3_AA_I2VA/gallery/sr_v17_variants_seed42_43_20260724/inputs/4a3a90bf9100_KDmcbkhzYo5sjjxr9FqcVmWVnzb.png"
},
"role": "first_frame"
}
],
"resolution": "768P",
"duration": 8,
"ratio": "adaptive"
}' |
jq -er '.task_id'
)
# Query again while the task is queued or running.
generation_result=$(
curl --silent --show-error \
--request GET \
--url "$MINIMAX_API_BASE/v2/query/video_generation/$task_id" \
--header "Authorization: Bearer $TOKEN"
)
echo "$generation_result" | jq '{status: .task.status}'
# Download the 768P MP4 after the task succeeds.
video_url=$(echo "$generation_result" | jq -er '.task.content.url')
curl --location "$video_url" --output i2va_direct_768p.mp4
|