Instructions to use Paulington/Allowable2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Paulington/Allowable2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Paulington/Allowable2") prompt = "collage" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 60cfdf18ce314f412c4db331543b5c34b7b3b9ab6556bf4b3753fec5774bb786
- Size of remote file:
- 89.7 MB
- SHA256:
- 023cb3f9a74ff109b8b43075b21139f8b3b71b4256a0820c654312256089d4ac
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