pikachupichu25/live-portrait-image 🖼️📝✓ → 🖼️
About
Match facial expression using a driving image using LivePortrait as a base

Example Output
Output

Performance Metrics
7.34s
Prediction Time
202.82s
Total Time
All Input Parameters
{ "source_image": "https://replicate.delivery/pbxt/LcFm23sapw1R5mAHAwNsM0I9HZStryqRkPqKn9QlEfBuhGnM/d38.jpg", "driving_image": "https://replicate.delivery/pbxt/LcFm2KjcJKx2kdlimwU9XvICytJIM0xwMmMe89jIsJmNBkAb/d9.jpg", "transfer_pose": "all", "post_processing_eye": false, "post_processing_lip": true }
Input Parameters
- source_image (required)
- Source image
- driving_image (required)
- Driving image
- transfer_pose
- post_processing_eye
- post_processing_lip
Output Schema
Output
Example Execution Logs
source_lip_ratio [[0.7220591]] target_lip_ratio [[0.7704249]] /src/src/live_portrait_wrapper.py:331: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:274.) c_d_lip_i_tensor = torch.Tensor([c_d_lip_i[0]]).to(self.device).reshape(1, 1) # 1x1
Version Details
- Version ID
f60012e7f8ebeeeff2fccbe6230161be65da2a4a017490b9b9c556b3e8183fec
- Version Created
- September 13, 2024