Instructions to use SidXXD/161 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/161 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/161", 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:
- 49f5b65412ec337bd1f7dd9e25d597e0b4c1917ba7de8f0c58f4696ef716bf25
- Size of remote file:
- 76.7 MB
- SHA256:
- 84dc4aebea9c158cec91837864b4f2ddd833dcaeb83bf24cf33f3371306015b4
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