Instructions to use malcolmrey/serenity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use malcolmrey/serenity with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("malcolmrey/serenity", 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:
- 70b1ad04f3fad5387517816b588e77f1ae0f980318edbf2c2a63f00304292026
- Size of remote file:
- 335 MB
- SHA256:
- f002acd53fafe69357763e016fb14476ba423b5901d032d13310596c3fa99087
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