Instructions to use SidXXD/63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/63 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/63", 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:
- 35114b4f4accf32eadd85fb1413678c929ee35ccf3526dfafc3a456d5e2795e8
- Size of remote file:
- 76.7 MB
- SHA256:
- ae646911834cbd81fbc632e3a0813639cd4e84a135cc07a4172aee05037dda6e
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