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 TechnoBaptist/MiniMax-H3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TechnoBaptist/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("TechnoBaptist/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: 719 Bytes
f30f923 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | {
"_class_name": "MiniMaxH3Pipeline",
"_diffusers_version": "0.32.2",
"text_encoder": [
"transformers",
"MiniMaxH3Qwen3VLHFEncoder"
],
"tokenizer": [
"transformers",
"Qwen2TokenizerFast"
],
"video_vae": [
"diffusers",
"MiniMaxH3VideoVAE"
],
"audio_vae": [
"diffusers",
"MiniMaxH3AudioVAE"
],
"scheduler": null,
"transformer": [
"diffusers",
"MiniMaxH3DiTModel"
],
"processor": [
"transformers",
"Qwen3VLProcessor"
],
"_minimax_h3": {
"schema_version": 1,
"partition": "fl2va",
"tasks": [
"t2va",
"fl2va"
],
"task_aliases": {},
"sigma_shift_scales": {
"video": 12.0,
"audio": 3.0
}
}
}
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