Instructions to use simpleipfs/custom_sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simpleipfs/custom_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("simpleipfs/custom_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6841145a77eb3bc3cac856f426830e4d63c80985b67bf1942063e541ce3397d9
- Size of remote file:
- 335 MB
- SHA256:
- 94fa29559010cb84dc560aba97fccd764b4794be6fa81528237e45e4819b6e33
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