Image-Text-to-Video
MiniMax H3
Diffusers
Safetensors
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] - Inference
- Notebooks
- Google Colab
- Kaggle
| set -euo pipefail | |
| H3_BASE_VIDEO='./t2va.mp4' | |
| # Encode the local H3-Base video as a Data URL and create the regeneration task. | |
| task_id=$( | |
| jq -n \ | |
| --arg prompt "$EXPANDED_PROMPT" \ | |
| --rawfile base_video <( | |
| printf 'data:video/mp4;base64,' | |
| base64 -w0 "$H3_BASE_VIDEO" | |
| ) \ | |
| '{ | |
| "model": "MiniMax-H3", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": $prompt | |
| }, | |
| { | |
| "type": "video_url", | |
| "video_url": { | |
| "url": $base_video | |
| }, | |
| "role": "base_video" | |
| } | |
| ], | |
| "resolution": "2K" | |
| }' | | |
| curl --silent --show-error \ | |
| --request POST \ | |
| --url "$MINIMAX_API_BASE/v2/video_regeneration" \ | |
| --header "Authorization: Bearer $TOKEN" \ | |
| --header 'Content-Type: application/json' \ | |
| --data-binary @- | | |
| jq -er '.task_id' | |
| ) | |
| # Query again while the task is queued or running. | |
| regeneration_result=$( | |
| curl --silent --show-error \ | |
| --request GET \ | |
| --url "$MINIMAX_API_BASE/v2/query/video_generation/$task_id" \ | |
| --header "Authorization: Bearer $TOKEN" | |
| ) | |
| echo "$regeneration_result" | jq '{status: .task.status}' | |
| # Download the 2K MP4 after the task succeeds. | |
| video_url=$(echo "$regeneration_result" | jq -er '.task.content.url') | |
| curl --location "$video_url" --output t2va_2k.mp4 | |