Instructions to use RedRocket/furception_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RedRocket/furception_vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RedRocket/furception_vae", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download crop3[1].png from RedRocket/furception_vae: direct link, hf CLI and curl.
- Browser
- Download file 77.9 kB
-
https://huggingface.co/RedRocket/furception_vae/resolve/main/crop3%5B1%5D.png
- Command line
-
hf download 'hf://RedRocket/furception_vae/crop3[1].png'
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curl -L -o 'crop3[1].png' https://huggingface.co/RedRocket/furception_vae/resolve/main/crop3%5B1%5D.png
77.9 kB
![crop3[1].png](/RedRocket/furception_vae/resolve/main/crop3%5B1%5D.png)