Instructions to use ShadowAugust/Rev122 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadowAugust/Rev122 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadowAugust/Rev122", 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:
- 36083ed025dc39786f3c8f3c37be1dad8ae27dae0a971923cbc65dd20045ec10
- Size of remote file:
- 4.27 GB
- SHA256:
- 088e82f6e58e432dcd151e3e3b4002d501156240694494453822250cd908feec
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