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:
- 470a67a4e3a887c75e1c670aa9c9b72f16ae675546a3c3f42b736aa7ca9cd4f8
- Size of remote file:
- 493 MB
- SHA256:
- 8c64ae7b7f35c32993b29541e0b03fb2690fd7b995a61f333b00179ce0cd2ae1
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