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
- MiniMax H3
How to use MiniMaxAI/MiniMax-H3 with MiniMax H3:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- 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
File size: 2,936 Bytes
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"_class_name": "MiniMaxH3ModularPipeline",
"_diffusers_version": "0.36.0.dev0",
"_blocks_class_name": "MiniMaxH3Blocks",
"text_encoder": [
"transformers",
"Qwen3VLForConditionalGeneration",
{
"type_hint": [
"transformers",
"Qwen3VLForConditionalGeneration"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "text_encoder",
"variant": null,
"revision": null
}
],
"tokenizer": [
"transformers",
"Qwen2TokenizerFast",
{
"type_hint": [
"transformers",
"Qwen2TokenizerFast"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "tokenizer",
"variant": null,
"revision": null
}
],
"processor": [
"transformers",
"Qwen3VLProcessor",
{
"type_hint": [
"transformers",
"Qwen3VLProcessor"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "processor",
"variant": null,
"revision": null
}
],
"vae": [
"diffusers",
"AutoencoderKLMiniMaxH3",
{
"type_hint": [
"diffusers",
"AutoencoderKLMiniMaxH3"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "vae",
"variant": null,
"revision": null
}
],
"audio_vae": [
"diffusers",
"AutoencoderKLMiniMaxH3Audio",
{
"type_hint": [
"diffusers",
"AutoencoderKLMiniMaxH3Audio"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "audio_vae",
"variant": null,
"revision": null
}
],
"transformer": [
"diffusers",
"MiniMaxH3Transformer3DModel",
{
"type_hint": [
"diffusers",
"MiniMaxH3Transformer3DModel"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "transformer",
"variant": null,
"revision": null
}
],
"transformer_ref": [
"diffusers",
"MiniMaxH3Transformer3DModel",
{
"type_hint": [
"diffusers",
"MiniMaxH3Transformer3DModel"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "transformer_ref",
"variant": null,
"revision": null
}
],
"scheduler": [
"diffusers",
"MiniMaxH3Scheduler",
{
"type_hint": [
"diffusers",
"MiniMaxH3Scheduler"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "scheduler",
"variant": null,
"revision": null
}
],
"audio_scheduler": [
"diffusers",
"MiniMaxH3Scheduler",
{
"type_hint": [
"diffusers",
"MiniMaxH3Scheduler"
],
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-H3",
"subfolder": "audio_scheduler",
"variant": null,
"revision": null
}
]
}
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