Text-to-Image
Diffusers
Safetensors
StableDiffusionXLInpaintPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
inpainting
Instructions to use Peter-Young/sdxxxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Peter-Young/sdxxxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Peter-Young/sdxxxl", 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
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6ee67c9f7f8264ece700936c8cc717d3deddecc96ad5b3c07d08768f88c21b46
- Size of remote file:
- 1.68 MB
- SHA256:
- dd259b947b7a8e088eb1bb5575c02b5ebc0d121cb247014b63980898480e620c
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