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:
- 16de38e1f8f82bc3c6faca08a7f93e81b313f3e0605135f32925d8a008b0a99d
- Size of remote file:
- 1.38 GB
- SHA256:
- 9435864af1bb3286614b3b9dae34e28be457421cdc11c918c4a5d87ff6abc810
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