Instructions to use JaydenLu666/InPO-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaydenLu666/InPO-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JaydenLu666/InPO-SDXL", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e15359044a3213ebea37cff3ae3448f5f1eef8a29a1c4a9251c1fb145149bae
- Size of remote file:
- 988 Bytes
- SHA256:
- 7d42560676b13f995a8df15e152c8573c5dbac6263256ac6d1070a53a669175e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.