Instructions to use dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed 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("dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed", 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
- Xet hash:
- ab6b3af4a71b1b676a5e89203ea01a9cd5bfbc06855fef0572b79b8d076226c6
- Size of remote file:
- 2.78 GB
- SHA256:
- 83804f702cfb307fac184a35b13d5c638c103924085297ddc488386fcde66d35
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