Instructions to use SidXXD/124 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/124 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/124", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 02cf28fd32b3aa36c9c9b44f4f5306430fa077585d22a9631adbaed5481e0f9a
- Size of remote file:
- 76.7 MB
- SHA256:
- 738b2ff84e68682b9bbdb783dc3b94de3d9e8219dc0cb6583c412b0231f57161
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