Instructions to use XXX2333/OranAI_realistic_quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XXX2333/OranAI_realistic_quality 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("XXX2333/OranAI_realistic_quality", 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 vae_decoder/openvino_model.bin from XXX2333/OranAI_realistic_quality: direct link, hf CLI and curl.
- Browser
- Download file 196 MB
-
https://huggingface.co/XXX2333/OranAI_realistic_quality/resolve/main/vae_decoder/openvino_model.bin
- Command line
-
hf download hf://XXX2333/OranAI_realistic_quality/vae_decoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/XXX2333/OranAI_realistic_quality/resolve/main/vae_decoder/openvino_model.bin
196 MB
- Xet hash:
- c785af39f35c346ba985af830c0cc260be345020fc7c31bd65a2ba801b2b4b5d
- Size of remote file:
- 196 MB
- SHA256:
- f172a386fbe2bb5fcdbddd339b8ce181085bffe2437c3841d9f5eef8b191bbca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.