Instructions to use JaydenLu666/SmPO-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JaydenLu666/SmPO-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/SmPO-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:
- b420bae662f66f9aa2fadfefcc6569df6f8d1968b9442a61b144505ae88899a1
- Size of remote file:
- 979 MB
- SHA256:
- 60e837a9a7014aed9884c92265bd7c6ec123a7c47e795528f9b4749132a284a9
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