Instructions to use SidXXD/121 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/121 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/121", 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:
- 94d2e1fb0fff722cd9c309ee108bb6d9e9e2147a8e567b8d377c58b522c0bc06
- Size of remote file:
- 76.7 MB
- SHA256:
- 71af9ec95e664ed9134fa5a4bbca5ad7d049fcd9788670e82fac88367fd73873
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