Instructions to use iamkaikai/MiniMax-H3-Single-Frame-VAE-500K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkaikai/MiniMax-H3-Single-Frame-VAE-500K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iamkaikai/MiniMax-H3-Single-Frame-VAE-500K", 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

- Xet hash:
- 9f03f75560c471c0e1205aa736b325e7f3681ed5ac05d1202bbbfd0947760f3a
- Size of remote file:
- 244 kB
- SHA256:
- 54f5fc862dce7ae440aaa802bbcae44c04e27e1cd306a6dc1ce06906ce6410f5
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