Image-Text-to-Video
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] - Notebooks
- Google Colab
- Kaggle
File size: 1,973 Bytes
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"_class_name": "MiniMaxH3AudioVAE",
"_diffusers_version": "0.32.2",
"auto_map": {
"AutoModel": "minimax_h3_audio_vae.MiniMaxH3AudioVAE"
},
"output_channel": 2,
"sample_rate": 32000,
"source_config_path": "config.yaml",
"source_safetensors_path": "model.safetensors",
"source_metadata_path": "metadata.json",
"latent_channels": 32,
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}
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