Instructions to use SidXXD/112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/112 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/112", 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:
- 88caa3817e2f43c05f764c6160ac401822a46ff94f74dcc34518fd1e7b03062b
- Size of remote file:
- 76.7 MB
- SHA256:
- 09a2829cf009fdb2993a564e16592ff3f95e7342e56435c6089269c0bca7c96e
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