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:
- d850e423838fd349ca26451e0b0ca723b5dd7cdd93fc197990a29c68bde11eae
- Size of remote file:
- 1 kB
- SHA256:
- 42446056dbcd048124bf0a7dcac375fbd2aa3d9f1754c85781801d26ab587fe2
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