Instructions to use LottePeisch/RevAnimated-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LottePeisch/RevAnimated-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LottePeisch/RevAnimated-Diffusers", 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:
- 861a3d8b46cb7ef454d43d50350afe44470544ab64274b13a4c58afa0507cd13
- Size of remote file:
- 335 MB
- SHA256:
- 062e2314ba02f674013822fba22cdfdc6fb119c06768480b2830e14010bf0611
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