Instructions to use faisal-shohag/easy-task-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use faisal-shohag/easy-task-models with Transformers.js:
// โ ๏ธ Unknown pipeline tag
Easy Task model mirror
Mirror of the exact model files used by the Easy Task in-browser tools (background removal, image upscaling, face restoration, clothing parsing, pose estimation and fashion tagging), kept so the site keeps working if an upstream repository is changed or removed.
Files keep their original layout: <owner>/<repo>/<path>. With Transformers.js:
env.remotePathTemplate = "faisal-shohag/easy-task-models/resolve/main/{model}/";
const pipe = await pipeline("background-removal", "Xenova/modnet");
Contents and licenses
Each model keeps its original license. Several are non-commercial or copyleft; check the upstream terms before any commercial use. All credit belongs to the original authors.
| Mirrored from | Original model | License | Size | ONNX files |
|---|---|---|---|---|
Xenova/modnet |
ZHKKKe/MODNet | Apache-2.0 | 45.5 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
onnx-community/ormbg-ONNX |
schirrmacher/ormbg | Apache-2.0 | 308.5 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
briaai/RMBG-1.4 |
briaai/RMBG-1.4 | bria-rmbg-1.4 โ non-commercial | 308.8 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
onnx-community/ISNet-ONNX |
xuebinqin/DIS | AGPL-3.0 | 308.6 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
studioludens/birefnet-lite-512 |
ZhengPeng7/BiRefNet_lite | MIT | 290.4 MB | onnx/model.onnx, onnx/model_fp16.onnx |
Xenova/segformer_b0_clothes |
mattmdjaga/segformer_b0_clothes | MIT card; NVIDIA SegFormer base โ non-commercial | 27.5 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Xenova/segformer_b2_clothes |
mattmdjaga/segformer_b2_clothes | NVIDIA SegFormer โ non-commercial | 194.4 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
faisal-shohag/fashn-human-parser-onnx |
fashn-ai/fashn-human-parser | NVIDIA SegFormer โ non-commercial | 453.6 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
JONNYVERSE/vitpose-plus-small-ONNX |
usyd-community/vitpose-plus-small | Apache-2.0 | 241.6 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
onnx-community/vitpose-base-simple |
usyd-community/vitpose-base-simple | Apache-2.0 | 603.4 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Marqo/marqo-fashionSigLIP |
Marqo/marqo-fashionSigLIP | Apache-2.0 | 615.1 MB | onnx/text_model_fp16.onnx, onnx/text_model_quantized.onnx, onnx/vision_model_fp16.onnx, onnx/vision_model_quantized.onnx |
JoPmt/Real_Esrgan_x2_Onnx_Tflite_Tfjs |
xinntao/Real-ESRGAN (realesr-general-x4v3) | BSD-3-Clause | 4.9 MB | ano_test/realesr-general-x4v3.onnx |
imgdesignart/realesrgan-x4-onnx |
xinntao/Real-ESRGAN (RealESRGAN_x4plus) | BSD-3-Clause | 33.7 MB | onnx/model_fp16.onnx |
crustythesockk/RealESRGAN-x4plus-dynamic |
xinntao/Real-ESRGAN (RealESRGAN_x4plus) | BSD-3-Clause | 67.1 MB | Real-ESRGAN-x4plus.onnx |
RekluzLabs/realesrgan_anime6b.onnx |
xinntao/Real-ESRGAN (x4plus_anime_6B) | BSD-3-Clause | 18.4 MB | realesrgan_anime6b.onnx |
Xenova/swin2SR-lightweight-x2-64 |
caidas/swin2SR-lightweight-x2-64 | Apache-2.0 | 22.7 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Xenova/swin2SR-classical-sr-x2-64 |
caidas/swin2SR-classical-sr-x2-64 | Apache-2.0 | 108.3 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Xenova/swin2SR-classical-sr-x4-64 |
caidas/swin2SR-classical-sr-x4-64 | Apache-2.0 | 109.4 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Xenova/swin2SR-realworld-sr-x4-64-bsrgan-psnr |
caidas/swin2SR-realworld-sr-x4-64-bsrgan-psnr | Apache-2.0 | 106.6 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Xenova/swin2SR-compressed-sr-x4-48 |
caidas/swin2SR-compressed-sr-x4-48 | Apache-2.0 | 109.4 MB | onnx/model.onnx, onnx/model_fp16.onnx, onnx/model_quantized.onnx |
Neus/GFPGANv1.4 |
TencentARC/GFPGAN | Apache-2.0 | 340.3 MB | GFPGANv1.4.onnx |
Faridzar/restoreformer-mirror |
wzhouxiff/RestoreFormerPlusPlus | Apache-2.0 | 147.4 MB | restoreformer-pp-fp16.onnx |
yuvraj108c/facerestore-onnx |
sczhou/CodeFormer | S-Lab License 1.0 โ non-commercial | 337.2 MB | codeformer.onnx |
opencv/face_detection_yunet |
opencv/opencv_zoo (YuNet) | MIT | 0.2 MB | face_detection_yunet_2023mar.onnx |
Inference Providers NEW
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