Instructions to use liamcloud/defRenaiCloud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liamcloud/defRenaiCloud with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("liamcloud/defRenaiCloud", 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:
- 57f4bca318be73050bfbd5c0df56b1eaf5f054fa9b7957752ed75c90b55c1779
- Size of remote file:
- 492 MB
- SHA256:
- 968f5112e50372b0909bf37ff14efb5d560aa7ab99dfa1fcebd9bfa4d66b00b7
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