Instructions to use bankroller85/johnrttr-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bankroller85/johnrttr-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/FLUX.2-dev-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bankroller85/johnrttr-lora") prompt = "johnrttr, a man with a long beard and short slicked-back dark hair, shirtless, front-facing, neutral expression, upper body shot, indoor warm lighting, grey wall background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
John R

- Prompt
- johnrttr, a man with a long beard and short slicked-back dark hair, shirtless, front-facing, neutral expression, upper body shot, indoor warm lighting, grey wall background
Trigger words
You should use johnrttr to trigger the image generation.
Download model
Download them in the Files & versions tab.
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