Testing

4xFFHQDAT.pth

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GFPGANv1.4.onnx

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GPEN-BFR-256.onnx

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GPEN-BFR-512.onnx

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Real-ESRGAN-x4plus.onnx

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RealESRGAN_x2plus.fp16.onnx

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RealESRGAN_x4plus.pth

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appearance_feature_extractor.safetensors

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buffalo_l/buffalo_l/1k3d68.onnx

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buffalo_l/buffalo_l/2d106det.onnx

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buffalo_l/buffalo_l/det_10g.onnx

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buffalo_l/buffalo_l/genderage.onnx

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buffalo_l/buffalo_l/w600k_r50.onnx

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gfpgan-1024.onnx

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hyperswap_1a_256.onnx

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hyperswap_1b_256.onnx

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hyperswap_1c_256.onnx

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instructions.txt

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-just put the models in this folder -
-
-https://huggingface.co/hacksider/deep-live-cam/resolve/main/inswapper_128_fp16.onnx?download=true
-https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth

inswapper_128_fp16.onnx

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+oid sha256:32031dbe50398c1beffa9daadaec8dd7ae9529d8314a0307b45a4987497f8494
+size 277288649

liveportrait/live_portrait_eye_retargeter.onnx

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liveportrait/live_portrait_feature_extractor.onnx

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liveportrait/live_portrait_generator.onnx

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liveportrait/live_portrait_lip_retargeter.onnx

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liveportrait/live_portrait_motion_extractor.onnx

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liveportrait/live_portrait_stitcher.onnx

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motion_extractor.safetensors

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reswapper_256.onnx

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sam2/download_models.py

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-"""
-Download SAM2 ONNX models from HuggingFace.
-
-Usage:
-    python models/sam2/download_models.py [variant]
-
-Variants:
-    tiny        - SAM2 Hiera-Tiny (smallest, fastest) ~155 MB
-    small       - SAM2 Hiera-Small (good balance) ~183 MB
-    base_plus   - SAM2 Hiera-Base+ (higher accuracy) ~360 MB
-    large       - SAM2 Hiera-Large (most accurate) ~910 MB
-
-Default: tiny (recommended for real-time LivePortrait use)
-
-Models are downloaded from:
-    https://huggingface.co/vietanhdev/segment-anything-2-onnx-models
-"""
-
-import os
-import sys
-import urllib.request
-import zipfile
-
-HUGGINGFACE_BASE_URL = "https://huggingface.co/vietanhdev/segment-anything-2-onnx-models/resolve/main"
-
-VARIANTS = {
-    "tiny": "sam2_hiera_tiny",
-    "small": "sam2_hiera_small",
-    "base_plus": "sam2_hiera_base_plus",
-    "large": "sam2_hiera_large",
-}
-
-def download_variant(variant_key: str = "tiny", output_dir: str = None):
-    """Download and extract a SAM2 ONNX model variant."""
-    if output_dir is None:
-        output_dir = os.path.dirname(os.path.abspath(__file__))
-
-    if variant_key not in VARIANTS:
-        print(f"Unknown variant: {variant_key}")
-        print(f"Available variants: {', '.join(VARIANTS.keys())}")
-        return False
-
-    variant_name = VARIANTS[variant_key]
-    zip_filename = f"{variant_name}.zip"
-    zip_url = f"{HUGGINGFACE_BASE_URL}/{zip_filename}"
-    zip_path = os.path.join(output_dir, zip_filename)
-
-    encoder_path = os.path.join(output_dir, f"{variant_name}.encoder.onnx")
-    decoder_path = os.path.join(output_dir, f"{variant_name}.decoder.onnx")
-
-    # Check if already downloaded
-    if os.path.exists(encoder_path) and os.path.exists(decoder_path):
-        print(f"[SAM2] Models already exist for variant '{variant_key}':")
-        print(f"  Encoder: {encoder_path}")
-        print(f"  Decoder: {decoder_path}")
-        return True
-
-    print(f"[SAM2] Downloading {variant_key} variant from HuggingFace...")
-    print(f"  URL: {zip_url}")
-    print(f"  Destination: {output_dir}")
-
-    try:
-        # Download zip
-        def progress_hook(count, block_size, total_size):
-            percent = int(count * block_size * 100 / total_size) if total_size > 0 else 0
-            percent = min(percent, 100)
-            sys.stdout.write(f"\r  Downloading: {percent}%")
-            sys.stdout.flush()
-
-        urllib.request.urlretrieve(zip_url, zip_path, reporthook=progress_hook)
-        print()  # newline after progress
-
-        # Extract
-        print(f"  Extracting...")
-        with zipfile.ZipFile(zip_path, 'r') as z:
-            z.extractall(output_dir)
-
-        # The zip extracts to a subdirectory; move files up if needed
-        extracted_dir = os.path.join(output_dir, variant_name)
-        if os.path.isdir(extracted_dir):
-            for fname in os.listdir(extracted_dir):
-                src = os.path.join(extracted_dir, fname)
-                dst = os.path.join(output_dir, f"{variant_name}.{fname}")
-                if not os.path.exists(dst):
-                    os.rename(src, dst)
-            # Clean up extracted directory
-            try:
-                os.rmdir(extracted_dir)
-            except OSError:
-                pass
-
-        # Clean up zip
-        if os.path.exists(zip_path):
-            os.remove(zip_path)
-
-        # Verify
-        if os.path.exists(encoder_path) and os.path.exists(decoder_path):
-            print(f"[SAM2] Successfully downloaded {variant_key} variant!")
-            print(f"  Encoder: {encoder_path}")
-            print(f"  Decoder: {decoder_path}")
-            return True
-        else:
-            # Try alternate naming (files might be named without the variant prefix)
-            alt_encoder = os.path.join(output_dir, "encoder.onnx")
-            alt_decoder = os.path.join(output_dir, "decoder.onnx")
-            if os.path.exists(alt_encoder) and not os.path.exists(encoder_path):
-                os.rename(alt_encoder, encoder_path)
-            if os.path.exists(alt_decoder) and not os.path.exists(decoder_path):
-                os.rename(alt_decoder, decoder_path)
-
-            if os.path.exists(encoder_path) and os.path.exists(decoder_path):
-                print(f"[SAM2] Successfully downloaded {variant_key} variant!")
-                return True
-            else:
-                print(f"[SAM2] Warning: Expected files not found after extraction.")
-                print(f"  Looking for: {encoder_path}")
-                print(f"  Looking for: {decoder_path}")
-                print(f"  Contents of {output_dir}:")
-                for f in os.listdir(output_dir):
-                    print(f"    {f}")
-                return False
-
-    except Exception as e:
-        print(f"\n[SAM2] Download failed: {e}")
-        # Clean up partial download
-        if os.path.exists(zip_path):
-            os.remove(zip_path)
-        return False
-
-
-if __name__ == "__main__":
-    variant = sys.argv[1] if len(sys.argv) > 1 else "tiny"
-    success = download_variant(variant)
-    if not success:
-        sys.exit(1)

sam2/sam2_hiera_tiny.decoder.onnx

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xseg.onnx

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