- The Anime Scripter ( TAS )
-
Smooth Motion Interpolation: Elevate video quality with seamless frame interpolation for fluid motion.
-
Crystal-Clear Upscaling: Immerse audiences in enhanced resolution, delivering sharper, more detailed visuals.
-
Optimal Video Size Deduplication: Streamline videos by intelligently removing redundant frames, optimizing file size.
-
Effortless Background-Foreground Segmentation: Simplify rotobrushing tasks with precision and ease.
-
3D Wizardry - Depth Map Generation: Unlock advanced editing possibilities with detailed depth maps for immersive 3D effects.
-
Auto Clip Cutting with Scene Change Filter: Boost productivity by automatically cutting clips with a Scene Change Filter.
-
Seamless After Effects Integration: Enhance After Effects projects effortlessly with our seamless integration.
-
Multi-Effect Magic - Model Chaining: Combine features seamlessly within After Effects, running Deduplication, Upscaling, and Interpolation in one go.
-
Efficient In-Memory Processing: Experience swift transformations without additional frame extraction cycles.
-
Custom Model Support for Creativity: Unleash your creativity by incorporating your own trained models effortlessly.
-
Graphical User Interface: Navigate through our user-friendly interface designed for both beginners and professionals, ensuring a smooth editing workflow from start to finish.
- Download the latest
-AdobeEdition
release from here. - Extract the file.
- Follow this step-by-step tutorial
If installation fails, refer to the manual installation guide.
- N/A - Under active development.
- N/A - Under active development.
All available parameters for interacting with the CLI or directly with main.py
can be found in the Parameters guide.
Officially Supported:
- ShuffleCugan (CUDA, TensorRT, and NCNN)
- Span (CUDA, TensorRT, DirectML and NCNN versions)
- SRVGGNet (Available in Compact, UltraCompact, SuperUltraCompact, and their respective TensorRT and DirectML versions)
- OpenProteus ( Cuda, TensorRT and DirectML )
- AniScale 2 ( Cuda, TensorRT and DirectML )
Unofficially Supported:
- Custom models compatible with Spandrel can be used via the
--custom_model
parameter.
- Rife CUDA (Versions: 4.6, 4.15, 4.15-lite, 4.16-lite, 4.17, 4.18, 4.20, 4.21, 4.22, 4.22-lite, 4.25, Rife_Elexor ( modded 4.7 ) )
- Rife TensorRT (Versions: 4.6, 4.15, 4.15-lite, 4.17, 4.18, 4.20, 4.21, 4.22, 4.22-lite, 4.25, Rife_Elexor ( modded 4.7 ) )
- Rife NCNN (Versions: 4.6, 4.15, 4.15-lite, 4.16-lite, 4.17, 4.18, 4.20, 4.21, 4.22, 4.22-lite )
- SCUNet ( Denoise ) ( Cuda )
- NAFNet ( Denoise ) ( Cuda )
- DPIR ( Denoise ) ( Cuda )
- Real-Plksr (DeJpeg) ( Cuda )
- Anime1080fixer ( Sharpen + Decompress ) ( Cuda & TensorRT )
Both internal and user-generated benchmarks can be found here.
Name | For |
---|---|
SUDO | Shufflecugan and many more ONNX models |
HZWER | Rife |
the-database | Compact, UltraCompact, SuperUltraCompact models |
SkyTNT | Anime Segmentation |
DepthAnything | Depth Anything V2 |
FFmpeg Group | FFmpeg |
YT-DLP | YT-DLP |
Hongyuanyu | SPAN |
Breakthrough | Automated Scene Detection |
Chainner-org | Spandrel, easy to use arch implementations |
TNTWise | Rife ONNX / NCNN and Spanimation |
Hyperbrew | Bolt CEP |
Sirosky | Open-Proteus and AniScale 2 |
Trentonom0r3 | Helping with TAS Adobe Edition and Celux |
Adegerard | Several ideas on how to further improve TAS |
Elexor | Modded Rife Experiment(s) |
Zarxrax | Anime1080Fixer model |
sdaqo | Anipy-CLI |
If I forgot to mention anyone, please email: [email protected]