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: 1,807 Bytes
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"_class_name": "MiniMaxH3VideoVAE",
"_diffusers_version": "0.32.2",
"mode": "standalone",
"auto_map": {
"AutoModel": "minimax_h3_video_vae.MiniMaxH3VideoVAE"
},
"source_path": "source",
"source_class_name": "AutoencoderKLLegacy",
"vae_clip_length": 17,
"vae_token_drop": 3,
"vae_encoder_tiling": 1,
"vae_decoder_tiling": 1,
"vae_parallel_tiling": 1,
"vae_tile_size": 256,
"vae_tile_overlap_min": 64,
"vae_encoder_parallel": 0,
"vae_decoder_parallel": 0,
"vae_chunk_dim": -1,
"source_safetensors_path": "model.safetensors",
"latent_channels": 24,
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}
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