Instructions to use AiAF/kafun_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/kafun_LoRA_Flux1 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("AiAF/kafun_LoRA_Flux1") prompt = "Kafun \\(Artist\\), illustration of a woman with dark hair and glasses, wearing a black turtleneck sweater and a gold necklace with a large pendant. She is sitting in the passenger seat of a car, with her right hand resting on her ear. The background shows a clear blue sky and some greenery outside the car window. The lighting is bright and natural, The image is high quality and has a professional feel." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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