Instructions to use Mitsua/mitsua-diffusion-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/mitsua-diffusion-one with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mitsua/mitsua-diffusion-one", 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 unet/diffusion_pytorch_model.bin from Mitsua/mitsua-diffusion-one: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/Mitsua/mitsua-diffusion-one/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Mitsua/mitsua-diffusion-one/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Mitsua/mitsua-diffusion-one/resolve/main/unet/diffusion_pytorch_model.bin
1.73 GB
- Xet hash:
- c85b30625dd67be8d2e72a174f614e8dfd585246c4745c60ae1e38bf9e9a509f
- Size of remote file:
- 1.73 GB
- SHA256:
- 21fae98cead6a3c4fa3d8a6df18fd88b21874966dd508de35027d4bee5b83e8e
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