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:
- 0138b2b070f86346f63008d32363eaee57b98e0eac0952404607a9594eadbc0a
- Size of remote file:
- 492 MB
- SHA256:
- f0f3ac07097ec769b71f99244f051feb9d28d4cac1c5f412fb1e574b827718f8
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