How to use fdgety/ATJ9 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("fdgety/ATJ9") prompt = "A realistic portrait of a beautiful woman, summer makeup, walking on a cobblestone street in Prague. She wears a pretty dress, holds a handbag and smartphone, with warm lighting and photorealistic detail. sunglasses on her forehead, looking at the viewer, close view, blonde hair <lora:Anya1:1>" image = pipe(prompt).images[0]
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