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
Download optimizer.bin from JaydenLu666/InPO-SDXL: direct link, hf CLI and curl.
- Browser
- Download file 979 MB
-
https://huggingface.co/JaydenLu666/InPO-SDXL/resolve/main/optimizer.bin
- Command line
-
hf download hf://JaydenLu666/InPO-SDXL/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/JaydenLu666/InPO-SDXL/resolve/main/optimizer.bin
979 MB
- Xet hash:
- e6d8c95e1150d924407683466127c5e2e6ac8317371b92561ca3b799a5f18fae
- Size of remote file:
- 979 MB
- SHA256:
- e882ebc1b1a32bf68bd525d8de9da04e2f537cd4b79105f845e27ff393a1b534
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