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
- Xet hash:
- 7bd6f3d052cdb4bbcc8055527ec2db936408df57ed77414df72db686d481be19
- Size of remote file:
- 2.58 GB
- SHA256:
- fa89caa4c4d293468731e803b7671cfd026afbca5a2ba9d9586d3f0eb35863e2
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