Instructions to use Antihero29/MeganFluxLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Antihero29/MeganFluxLora 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("Antihero29/MeganFluxLora") prompt = "portrait of a beautiful woman, stylish brown hairstyles, bright green eyes, medium boobs, fit body, 22 year old, young looking face, masterpiece, best quality, ultra-detailed, solo, (skin texture:1.1) (film grain:1.3), (cold hue, cold tone:1.2), cinematic light, sidelighting, ultra high res, RAW, <lora:Madison_Beer_2020_Flux:0.95>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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