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_encoder/openvino_model.bin from XXX2333/OranAI_realistic_quality: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/XXX2333/OranAI_realistic_quality/resolve/main/vae_encoder/openvino_model.bin
- Command line
-
hf download hf://XXX2333/OranAI_realistic_quality/vae_encoder/openvino_model.bin
-
curl -L -o openvino_model.bin https://huggingface.co/XXX2333/OranAI_realistic_quality/resolve/main/vae_encoder/openvino_model.bin
135 MB
- Xet hash:
- 00eaf3dd996ff54c439283193c308bb8e7bea027b9668f39d2f6f8b448880d4c
- Size of remote file:
- 135 MB
- SHA256:
- 2e160627ffe3485d91fc33005018e0bc48d2ee8681017e363a42a0f9190aabc3
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