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", torch_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:
- e9c363eabcd3481d288a48cd4af3b08bd4f6f3abc900a6be09891c1efd66ba46
- Size of remote file:
- 3.44 GB
- SHA256:
- 91ef80c36de1986619e6fcbf2ee96ddf0c60574cfd8141b4f9cacc65aba4b69a
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