W2xncnnvk
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== Requirements == | == Requirements == | ||
| − | * [https://en.wikipedia.org/wiki/Vulkan Vulkan] compatible | + | * [https://en.wikipedia.org/wiki/Vulkan Vulkan] compatible device |
* '''AviSynth+ r3682''' (can be downloaded from [https://gitlab.com/uvz/AviSynthPlus-Builds here] until official release is uploaded) or later | * '''AviSynth+ r3682''' (can be downloaded from [https://gitlab.com/uvz/AviSynthPlus-Builds here] until official release is uploaded) or later | ||
* Microsoft VisualC++ Redistributable Package 2022 (can be downloaded from [https://github.com/abbodi1406/vcredist/releases here]) | * Microsoft VisualC++ Redistributable Package 2022 (can be downloaded from [https://github.com/abbodi1406/vcredist/releases here]) | ||
| Line 21: | Line 21: | ||
* <code>models</code> must be located in the same folder as [[w2xncnnvk]]. | * <code>models</code> must be located in the same folder as [[w2xncnnvk]]. | ||
<br> | <br> | ||
| + | |||
== [[Script variables|Syntax and Parameters]] == | == [[Script variables|Syntax and Parameters]] == | ||
:{{Template:FuncDef|w2xncnnvk (clip input, int "noise", int "scale", int "tile_w", int "tile_h", int "model", int "gpu_id", int "gpu_thread", bool "tta", bool "fp32", bool "list_gpu")}} | :{{Template:FuncDef|w2xncnnvk (clip input, int "noise", int "scale", int "tile_w", int "tile_h", int "model", int "gpu_id", int "gpu_thread", bool "tta", bool "fp32", bool "list_gpu")}} | ||
Revision as of 18:05, 23 August 2022
| Abstract | |
|---|---|
| Author | Asd-g |
| Version | 1.0.0 |
| Download | w2xncnnvk-1.0.0.7z |
| Category | Resizers |
| License | MIT |
| Discussion | |
Contents |
Description
w2xncnnvk is a ncnn implementation of waifu2x converter, based on waifu2x-ncnn-vulkan.
This is a port of the VapourSynth plugin w2xncnnvk.Waifu2x.
Requirements
- Vulkan compatible device
- AviSynth+ r3682 (can be downloaded from here until official release is uploaded) or later
- Microsoft VisualC++ Redistributable Package 2022 (can be downloaded from here)
- Supported color formats: RGBPS
-
modelsmust be located in the same folder as w2xncnnvk.
Syntax and Parameters
- w2xncnnvk (clip input, int "noise", int "scale", int "tile_w", int "tile_h", int "model", int "gpu_id", int "gpu_thread", bool "tta", bool "fp32", bool "list_gpu")
- clip input =
- A clip to process.
- It must be in RGB 32-bit planar format.
- clip input =
- int noise = 0
- Denoise level.
- Large value means strong denoise effect, -1 - no effect.
- Must be between -1..3.
- Default: 0.
- int noise = 0
- int scale = 2
- Upscale ratio.
- Must be either 1 or 2.
- Default: 2.
- int scale = 2
- int tile_w = input_width
- int tile_h = input_height
- Doubles the width of the input.
- Tile width and height, respectively.
- Use smaller value to reduce GPU memory usage.
- Must be equal to or greater than 32.
- Default: input_width, input_height.
- int tile_w = input_width
- int model = 2
- Model to use.
- 0: upconv_7_anime_style_art_rgb
- 1: upconv_7_photo
- 2: cunet
- Default: 2.
- Model to use.
- int model = 2
- int gpu_id =
- GPU device to use.
- By default the default device is selected.
- int gpu_id =
- int gpu_thread = 2
- Thread count for upscaling.
- Using larger values may increase GPU usage and consume more GPU memory. If you find that your GPU is hungry, try increasing thread count to achieve faster processing.
- Default: 2.
- int gpu_thread = 2
- bool tta = false
- Enable TTA(Test-Time Augmentation) mode.
- Default: False.
- bool tta = false
- bool fp32 = false
- Enable FP32 mode.
- Default: False.
- bool fp32 = false
- bool list_gpu = false
- Simply print a list of available GPU devices on the frame and does nothing else.
- Default: False.
- bool list_gpu = false
Examples
w2xncnnvk with default settings:
ColorBars(pixel_type="RGBPS") w2xncnnvk(noise=0, scale=2, model=2, gpu_thread=2, tta=false, fp32=false, list_gpu=false)
Changelog
Version Date Changes
v1.0.0 2022/08/17 - Initial release.
External Links
- GitHub - Source code repository.
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