Multi-focal Conditioned Latent Diffusion for Person Image Synthesis
Paper • 2503.15686 • Published • 1
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lotior/mcld", torch_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]
MCLD 
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.
Code: https://github.com/jqliu09/mcld
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