Instructions to use WaveCut/MiniMax-H3-Image-Pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/MiniMax-H3-Image-Pruned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/MiniMax-H3-Image-Pruned", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from WaveCut/MiniMax-H3-Image-Pruned: direct link, hf CLI and curl.
- Browser
- Download file 2.34 GB
-
https://huggingface.co/WaveCut/MiniMax-H3-Image-Pruned/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://WaveCut/MiniMax-H3-Image-Pruned/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/WaveCut/MiniMax-H3-Image-Pruned/resolve/main/vae/diffusion_pytorch_model.safetensors
2.34 GB
- Xet hash:
- 97e368f48546c60b06ff0e303424b59f022692adb3031d45cf68bb1740b7464d
- Size of remote file:
- 2.34 GB
- SHA256:
- 5bb2809698c3989033f719ece2243f277fefedef1dd9a1d05f3d4136b2f93b35
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