Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Paper • 2503.15686 • Published • 1
How to use Lotior/mcld 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("Lotior/mcld", dtype=torch.bfloat16, device_map="cuda")
prompt = "Turn this cat into a dog"
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]Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Jiaqi Liu, Jichao Zhang, Paolo Rota, Nicu Sebe
Computer Vision and Pattern Recognition Conference (CVPR), 2025, Nashville, USA
This repository contains the model described in Multi-focal Conditioned Latent Diffusion for Person Image Synthesis.