Instructions to use SidXXD/103 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/103 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/103", 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:
- 5e9a6cb1df62028be47c4c3a41d21d37fe068248364177e8be414d02404e4092
- Size of remote file:
- 76.7 MB
- SHA256:
- 30b63911c135e420ddcb65d5717f21efa9b66b74cc02b7c30c3b345beea10c00
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