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:
- f8954ab2779cd94aa653f114ac56701cfb6ea8870851629129d6f09ba0d545e2
- Size of remote file:
- 1.1 MB
- SHA256:
- 5240d95375863c5b2cb038dbb7a15695c8ababc755c4e33892d892656f0b004c
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