Instructions to use tiny-random/minimax-h3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tiny-random/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("tiny-random/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
Download vae/diffusion_pytorch_model.safetensors from tiny-random/minimax-h3: direct link, hf CLI and curl.
- Browser
- Download file 5.5 MB
-
https://huggingface.co/tiny-random/minimax-h3/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://tiny-random/minimax-h3/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/tiny-random/minimax-h3/resolve/main/vae/diffusion_pytorch_model.safetensors
5.5 MB
- Xet hash:
- 5fccb71a5e60a202cf2a1f8575e26467de34aff2b10ed5ed952f13942b9f7aad
- Size of remote file:
- 5.5 MB
- SHA256:
- 0e3995b544fce3e19126351fa592a491a3648f86f7e5e6e88fffce431394de1e
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