Instructions to use SidXXD/95 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/95 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/95", 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:
- 605fb57f9ca89b48b451c52c487b9480f98c9a7d42531c910db2b3615fdf9250
- Size of remote file:
- 76.7 MB
- SHA256:
- 59db6897a4c846be8a87530a4822112a9ecf2d0b7fa9135310cc1cf6a4df7922
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