Instructions to use AlexanderLab/APLPRO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/APLPRO 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("AlexanderLab/APLPRO") prompt = "APLPRO" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51808e6691726a485a49432647b5e7254a79f11f5bd0c1a41c1f3e03e8f51ad5
- Size of remote file:
- 344 MB
- SHA256:
- 768a01510e4e96400bdddab99ba4410e2b9d37c85781d1c7efcd341c4fd89eaa
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