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
how much better is the cloud version of h3?
#29
by BrokeAmerican - opened
The cloud i hear does true 2k resolution where as this watered down version does 768p. Plus a smaller sized transformer 33b. Is there a big quality jump you guys are noticing for the cloud vs open source? 4090 gpu 15 seconds 0.6 megapixels image to video took 15 minutes on my system. 05 megapixels 11 second duration takes 8 minutes. For those with a 3090. I have noticed a 3090 takes almost twice as long as a 4090 gpu.