Instructions to use imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model", 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:
- 3fbefda014f30d60226f741bea86a2b664983fbe580116bf46beadd5d60206d3
- Size of remote file:
- 1.39 GB
- SHA256:
- 293144a0b7531b5f73177eb011dc9acee8d79a93a7693a879d41977cd0975807
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