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:
- cc79790d744cc0bc4e418091a6b3af53bbd41659895671551c7c67b3a8814b6e
- Size of remote file:
- 27.1 MB
- SHA256:
- 559b3c786ae19a24efdcec8d9daf8d4f6a9c986b69e94c9b267f5b1211ccbe6f
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