Upload 16 files
Browse files- arcface_r100.pth +3 -0
- arcfaceresnet100-11-int8.onnx +3 -0
- arcfaceresnet100-8.onnx +3 -0
- inswapper_128_Rushi2901_facefusion.onnx +3 -0
- real_esrgan_x2_fp16.onnx +3 -0
- real_esrgan_x2plus.pth +3 -0
- real_esrgan_x4_fp16.onnx +3 -0
- real_esrgan_x4plus.pth +3 -0
- real_esrgan_x8.onnx +3 -0
- real_esrgan_x8.pth +3 -0
- real_esrgan_x8_fp16.onnx +3 -0
- requirements.txt +49 -0
- w600k_r100_fp16.onnx +3 -0
- w600k_r50_fp16.onnx +3 -0
- wf42m_r100.pth +3 -0
- xseg_1.onnx +3 -0
arcface_r100.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:a566a62357f0c55b679d9ff2f022a294486568be0c00665d39029d0e46a8109b
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size 261223796
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arcfaceresnet100-11-int8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c625ca68a422418c48aa84f73341337e0a92b111f327909005d1eec07c95f936
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size 65764892
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arcfaceresnet100-8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0a2e278b430372d308fef67c1aea308c2baf37f32e8908d9bfce035c26a3fb4
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size 261036388
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inswapper_128_Rushi2901_facefusion.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a290273ed497312095dac48cdef20feec9d5208298223dd01288ab202b54bea7
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size 555303150
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real_esrgan_x2_fp16.onnx
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oid sha256:0218a7177bccafaad11bcee4fcb3aa42a74c8551da195eede6c62645fa8bdcc7
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size 36146329
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real_esrgan_x2plus.pth
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oid sha256:49fafd45f8fd7aa8d31ab2a22d14d91b536c34494a5cfe31eb5d89c2fa266abb
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size 67061725
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real_esrgan_x4_fp16.onnx
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oid sha256:223c117884ed92526ba1f89fbc09c663f15786c1049802c1a0ac8895b09a9cbc
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size 36144084
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real_esrgan_x4plus.pth
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oid sha256:4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1
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size 67040989
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real_esrgan_x8.onnx
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oid sha256:81347256a7e0adf5e4dc4efb7bb6c44a05b04069ad6b43d026e9a20cd3b8cc1c
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real_esrgan_x8.pth
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oid sha256:8b72fb469d12f05a4770813d2603eb1b550f40df6fb8b37d6c7bc2db3d2bff5e
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real_esrgan_x8_fp16.onnx
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oid sha256:aa6a5ebc3155d488c4819e36f5d941d90128b7b72bbaab08a699d4a9efd1b975
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requirements.txt
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--extra-index-url https://download.pytorch.org/whl/cu128
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## PyTorch and Torchvision will auto-select the correct CUDA build from the extra index
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torch==2.8.0+cu128; sys_platform != 'darwin'
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torch==2.8.0; sys_platform == 'darwin'
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torchvision
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torchvision==0.23.0+cu128; sys_platform != 'darwin'
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torchvision==0.23.0; sys_platform == 'darwin'
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#torchvision; sys_platform != 'darwin'
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#torchvision; sys_platform == 'darwin'
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## ONNX runtime variants based on OS and hardware
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onnx==1.18.0
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onnxruntime==1.22.1; sys_platform == 'darwin' and platform_machine != 'arm64'
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onnxruntime-silicon==1.16.3; sys_platform == 'darwin' and platform_machine == 'arm64'
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onnxruntime-gpu==1.22.0; sys_platform != 'darwin'
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## Core libraries or packages
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#numpy==2.3.1 or #numpy<2.0
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numpy<3.0
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opencv-python-headless==4.12.0.88
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psutil==7.0.0
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tqdm==4.67.1
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## Other utilities
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ftfy
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regex
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pyvirtualcam
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## InsightFace and Image augmentation
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insightface==0.7.3
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albucore==0.0.30
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albumentations==1.4.4 #Optional: use this if you encounter compatibility issues with albucore
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# OR
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#albucore==0.0.24
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#albumentations==2.0.8 #Optional: use this if you encounter compatibility issues with albucore
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# OR
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#albucore==0.0.16 ## working
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## Web UI and API
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gradio==5.42.0
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fastapi==0.116.1
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pydantic==2.11.7
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w600k_r100_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c625ca68a422418c48aa84f73341337e0a92b111f327909005d1eec07c95f936
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size 65764892
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w600k_r50_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ab1d6435d639628a6f3e5008dd4f929edf4c4124b1a7169e1048f9fef534cdf
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size 260665334
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wf42m_r100.pth
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oid sha256:7ef8f9fe48c0394b4d0747d64adab4546e8f997b164850d88d154608d68143b0
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size 261246502
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xseg_1.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4d1498b8a03b5fe2a3a5d2ef2a0402ab03bd51edaf5b2d8d5fb764702a97dd3
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size 70324286
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