Instructions to use shubhdotai/revAnimated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shubhdotai/revAnimated with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shubhdotai/revAnimated", 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 vae/diffusion_pytorch_model.bin from shubhdotai/revAnimated: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/shubhdotai/revAnimated/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://shubhdotai/revAnimated/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/shubhdotai/revAnimated/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 0185ea9080d9581bfb4fa7bbee9cbbd9c882bdc641581ef806c475d9031a69d7
- Size of remote file:
- 335 MB
- SHA256:
- 40bec3b829f93e173729fd6dca141f4488803311de360d60de1c7d3714953c0f
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