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 vae/diffusion_pytorch_model.bin from Mitsua/mitsua-diffusion-one: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Mitsua/mitsua-diffusion-one/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Mitsua/mitsua-diffusion-one@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Mitsua/mitsua-diffusion-one/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- d2b5197c10dac6a768330a2b2afaa5b37d4b3f926f775035cbe9752fc2efd0e4
- Size of remote file:
- 167 MB
- SHA256:
- 6168e20a776811f24a943678bdf7c04317d80f9e99041f83f7c199f6571b6f59
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