README.md

metadata

title: C-MET CPU
emoji: 🎭
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 6.12.0
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
tags:
  - talking-face
  - emotion-transfer
  - cpu
  - onnx
  - mcp-server
short_description: C-MET Emotion Transfer - CPU (ONNX + JIT)
models:
  - coldhyuk/C-MET

C-MET: Cross-Modal Emotion Transfer (CPU)

Talking-face emotion editing from text, audio, or video prompts. CPU-optimized port of C-MET.

Real benchmarks on HF cpu-basic (2 vCPU, 7s video, 174 frames)

Stage	Time	Method
audio2lip	21.5s	ONNX FP32
compute_alpha_D	137.5s	PyTorch (StyleGAN QR op blocks ONNX)
connector	0.4s	ONNX FP32
render (174 frames)	438.7s (2.5s/frame)	PyTorch eager
video_prep + encode	4.5s	ffmpeg
Total	~10 min

ONNX artifacts are built on first startup (~1 min), cached in ./artifacts/.

API -- Python Client

from gradio_client import Client, handle_file

client = Client("WeReCooking/C-MET-CPU")

result = client.predict(
    source_image=handle_file("face.png"),
    audio=handle_file("voice.wav"),
    pose=handle_file("pose.mp4"),
    emotion="happy",        # angry contempt disgusted fear happy sad surprised
                            # charismatic desirous empathetic envious romantic sarcastic
    intensity=3,
    seed=42,
    api_name="/infer",
)
output_path, timings_str = result
print(timings_str)

MCP

{
  "mcpServers": {
    "cmet": {"url": "https://werecooking-c-met-cpu.hf.space/gradio_api/mcp/"}
  }
}

CLI

python app.py infer \
  -s asset/identity/ChatGPT_man3_crop.png \
  -a asset/audio/W009_038.wav \
  -v asset/video/W009_038.mp4 \
  -e happy \
  -o output.mp4

All 13 emotions: angry contempt disgusted fear happy sad surprised charismatic desirous empathetic envious romantic sarcastic

Web UI

1. Upload source face (256x256 crop)
2. Upload driving audio (.wav)
3. Upload pose driving video (25 fps, face crop)
4. Pick target emotion
5. Click Generate -> wait -> get video with timing breakdown

Credits

Based on C-MET (CVPR 2026). Original ZeroGPU demo: coldhyuk/C-MET.