Instructions to use SidXXD/Realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/Realism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/Realism", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a sks art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8786e44e2678dd7f01bde9907ff3e27d073c9507a858ea9108be0c1b23c10546
- Size of remote file:
- 76.7 MB
- SHA256:
- 82e925c4850e76c4d049e9b476b51f215b19a5fc0cfc860fb4e096f24a09b317
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