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
Download text_encoder_2/model.onnx_data from dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed/resolve/main/text_encoder_2/model.onnx_data
- Command line
-
hf download hf://dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed/text_encoder_2/model.onnx_data
-
curl -L -o model.onnx_data https://huggingface.co/dejayvu/stable-diffusion-xl-base-1.0_vae-fp16-fixed/resolve/main/text_encoder_2/model.onnx_data
2.78 GB
- Xet hash:
- c4ea7419902bbbce3a756dc1a0716a44b3b68559cb89c128b56b24dd46ebf9a3
- Size of remote file:
- 2.78 GB
- SHA256:
- 3da7ac65349fbd092e836e3eeca2c22811317bc804fd70af157b4550f2d4bcb5
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