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
- Draw Things
- DiffusionBee
- Xet hash:
- d2b5197c10dac6a768330a2b2afaa5b37d4b3f926f775035cbe9752fc2efd0e4
- Size of remote file:
- 167 MB
- SHA256:
- 6168e20a776811f24a943678bdf7c04317d80f9e99041f83f7c199f6571b6f59
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