Instructions to use Hormezis/pytorch_lora_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hormezis/pytorch_lora_weights 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("Hormezis/pytorch_lora_weights") prompt = "(male:1.5), in the style of <lora:marvin:0.45>, manga, medium shot, looking up, sideways view, hoodie, short hair, solo, (city background, lights, blurred:1.2), greyscale, monochrome, detailed face" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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