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
Sharing: MiniMax-H3 Character Card ComfyUI-Workflow !
#101
by sunnyboxs - opened
MiniMax-H3 Character Card - A practical feature node supporting high and low noise amplification in video generation.
https://github.com/juntaosun/ComfyUI-H3-OpenNodes
Integrated media loader: Supports images, sounds, names, and descriptions.
Fully automatic prompt assembly: Automatically analyzes media and assembles prompts.
Supports high and low noise dual sampling: High and low sampling are supported under all conditions.
Accelerate video generation using Lightx2V Turbo Load.
Simplify the loading and use of multi-parameter media in h3.
