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", 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
Download text_encoder/pytorch_model.bin from stablediffusionapi/rev-anim: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/rev-anim/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/rev-anim/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/rev-anim/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 41a06022301694d5fc01d953b81a17a8b8cb0310a4fb35e8fa80285b2bd2c9aa
- Size of remote file:
- 246 MB
- SHA256:
- 2f1f74ea903f40a0ac121fbd4bee54f0d4e1021f5afef69ceca44cd0e93f1955
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