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
- Xet hash:
- e4f58fe3cf2a9a491c6b2d75e33968b9034ab5ca42327eac22e9e2e9a6b10d6e
- Size of remote file:
- 155 MB
- SHA256:
- 77bad0f658530f10a11b2ed3bef04caf8d7380b14f17b53ff52393bf502216a7
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