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:
- aafef116f8db5f89ca8bad78bde6be18996025bfd453733d8f4e056ef5a00662
- Size of remote file:
- 96.5 MB
- SHA256:
- 9cf4cd937e61c8511dd9183485cf443bcc8f4187a3453a7851f19f12491f2a64
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.