Instructions to use stablediffusionapi/rev-anim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/rev-anim with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/rev-anim", 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:
- 5c1177e8434d68f593de0d5fdd664791270ff3431bf8c28a843db598d05cf1d7
- Size of remote file:
- 1.72 GB
- SHA256:
- 202bd5c12326be4cdc91b990d714cd734a9177b0b7d503328e8e91519dc9ab7c
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