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)

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

./scripts/download_models.sh /models

License

MIT License