Instructions to use Mitsua/mitsua-diffusion-cc0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mitsua/mitsua-diffusion-cc0 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-cc0", 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:
- ea1e449f36b3dafd3f19eba0c052d283e68f4e30bbcc483f0cf8be2caefb7000
- Size of remote file:
- 681 MB
- SHA256:
- 1f1fce5bf3a7d2f31cddebc1f67ec9b34c1786c5b5804fc9513a4231e8d1bf10
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