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
| 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 | |