Instructions to use EnD-Diffusers/Osenayan_Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Osenayan_Mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Osenayan_Mix", 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:
- f8527cd59a7f787547e2b25a94b5abb6208792710d22271c9d7c801b9d89fc09
- Size of remote file:
- 2.5 MB
- SHA256:
- 431c7a83f61b65568b5c5cf963faa7afcf7d715660921c24f44c43cbaac2239f
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