Instructions to use AiAF/KXBO99-kxbbo_LoRA_Flux1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/KXBO99-kxbbo_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/KXBO99-kxbbo_LoRA_Flux1") prompt = "@KXBO99, KXBO99 \\(Artist\\), kxbbo \\(Artist\\), 1 woman with short pink hair, wet t-shirt with text on the shirt that says \"FLUX\" , parted lips and wearing with eyeliner, background is a empty grass field lit with bright flood lights, it is dusk and very early in the morning,, floating dust particles" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Model tree for AiAF/KXBO99-kxbbo_LoRA_Flux1
Base model
black-forest-labs/FLUX.1-dev