Instructions to use nuigurumi/basil_mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nuigurumi/basil_mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nuigurumi/basil_mix", 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.bin from nuigurumi/basil_mix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/nuigurumi/basil_mix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://nuigurumi/basil_mix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/nuigurumi/basil_mix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- e13a523a57ef830e07c9cdf96f4a74caa1688c40b8ac5a2b28655b0d50b94a66
- Size of remote file:
- 335 MB
- SHA256:
- 56c07f81c0fa6c01ec736a9a7856a0fe15fc0aa54779ee824ce8667884e4a79b
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