Instructions to use Geo2425/pretrained_models_sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Geo2425/pretrained_models_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("Geo2425/pretrained_models_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:
- be6ba3db177c4e3491790b3c5e915f5489372fb8dbe4b1d88c57744296646194
- Size of remote file:
- 727 MB
- SHA256:
- 0801befd445d20a57566a43f6d0565510a55c6a47551699b0df553bbc733f489
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