Instructions to use Paulington/Allowable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Paulington/Allowable with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Paulington/Allowable", dtype=torch.bfloat16, device_map="cuda") prompt = "oops" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Rename YBsVbRYDHuaemVIzFKMky_pytorch_lora_weights.safetensors to Allowable.safetensors
aaacad2 verified - Xet hash:
- 343c7eaceb9a2aa350aefaafde9572129a087423abab88ce84512be58caca736
- Size of remote file:
- 89.7 MB
- SHA256:
- e8ed26db6aa03adf299885862ab2f6d566415ed8d5d3d02f863667b993435e48
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