How to use manycore-research/FLUX.1-Wireframe-dev-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # 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("manycore-research/FLUX.1-Wireframe-dev-lora") prompt = "A modern living room features a clean and minimalist design. On the left, a light beige wall houses a built-in shelving unit with a textured, neutral finish, adorned with a few decorative items. The right wall showcases a ribbed, light gray panel with a built-in storage unit below. The floor is covered with a light beige carpet, which extends into the midground where a beige sofa with patterned throw pillows is positioned. A small round ottoman sits in front of the sofa, adding a cozy touch. In the background, large windows with sheer curtains allow natural light to flood the room, highlighting the light gray curtains and the greenery outside. A tall, narrow plant stand with a potted plant stands beside the window, adding a touch of nature. The ceiling features a circular chandelier with a modern design, casting a warm glow over the space." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0]
