📸 Input Selection
Person Image
Drop model photo
Garment Image
Drop apparel photo
🖼️ Try-On Output
import torch
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained(
"AndrewChoyCS/Mobile-VTON",
torch_dtype=torch.float16,
trust_remote_code=True
).to("cuda")
# Generate Virtual Try-On
output = pipe(
image=person_img,
garment_image=garment_img,
num_inference_steps=30
).images[0]
output.save("tryon_result.png")