Image-to-Image
Diffusers
Safetensors
English
sdxl
vae
hdr
image-generation
photorealistic
color-enhancement
Instructions to use Felldude/SDXL-HDR-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Felldude/SDXL-HDR-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("Felldude/SDXL-HDR-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
- Xet hash:
- f4f056a2ba90099c4ff10d0eae47a2d1f81abbf7150463943131b0f3d4a9ef6a
- Size of remote file:
- 335 MB
- SHA256:
- a8c8c608dd265fd600aab369bcd1bb68bd17c95e5be74297838f028422f4e81a
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