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---
license: mit
tags:
- face-swap
- face-enhancement
- deep-learning
- computer-vision
- morphstream
---
# MorphStream Models
Models for real-time face processing used by the MorphStream project.
## Structure
```
/
├── inswapper_128.onnx # Standard face swap
├── inswapper_128_fp16.onnx # FP16 optimized (default)
├── hyperswap_1a_256.onnx # HyperSwap variant A
├── hyperswap_1b_256.onnx # HyperSwap variant B
├── hyperswap_1c_256.onnx # HyperSwap variant C
└── gfpgan/
├── GFPGANv1.4.pth # Main GFPGAN model
└── weights/
├── detection_Resnet50_Final.pth # Face detection
└── parsing_parsenet.pth # Face parsing
```
## Face Swap Models
| Model | Description | Size |
|-------|-------------|------|
| inswapper_128.onnx | Standard quality face swap | ~250MB |
| inswapper_128_fp16.onnx | Optimized FP16 model (default) | ~125MB |
| hyperswap_1a_256.onnx | High quality 256px - variant A | - |
| hyperswap_1b_256.onnx | High quality 256px - variant B | - |
| hyperswap_1c_256.onnx | High quality 256px - variant C | - |
## GFPGAN Models
| Model | Description |
|-------|-------------|
| gfpgan/GFPGANv1.4.pth | Main GFPGAN model |
| gfpgan/weights/detection_Resnet50_Final.pth | Face detection (ResNet50) |
| gfpgan/weights/parsing_parsenet.pth | Face segmentation/parsing |
## Usage
### Python (huggingface_hub)
```python
from huggingface_hub import hf_hub_download
# Face swap model
model_path = hf_hub_download(
repo_id="latark/MorphStream",
filename="inswapper_128_fp16.onnx"
)
# GFPGAN model
gfpgan_path = hf_hub_download(
repo_id="latark/MorphStream",
filename="gfpgan/GFPGANv1.4.pth"
)
```
### GPU Worker
```bash
./scripts/download_models.sh /models
```
## License
MIT License |