This is a wrapper for Upscayl's Real-ESRGAN-ncnn-vulkan binary to upscale images. See the Real-ESRGAN page for details on system requirements to run the up-scaler. Notably, it only works with PNG files on Vulkan capable GPUs. Currently, this wrapper only supports Windows, but it should be possible to get it working on Linux and Mac. I just haven't done it yet. Feel free to submit a PR if you get it working.
This package depends on my fork of large-download. If I ever get around to submitting a PR for my changes, maybe I can change the dependency to normal package.
import Upscaler from 'ai-upscale-module';
// param is an optional obj specifying defaults and a callback. Specify any/all/none of these.
let upscaler = new Upscaler({
defaultOutputPath: "absolute or relative path for output",
defaultScale: 4, // can be 2, 3, or 4
defaultFormat: "jpg", // or "png"
downloadProgressCallback: ()=>{}, // Callback that gets called twice per second while a download is in progress
defaultModel: "ultrasharp-2.0.1", // Default model name
maxJobs: 4 // Max # of concurrent jobs
});
let file = "path_to_file.png"; // This only works with png files
upscaler.upscale(file).then(async () => {
// do something when the upscale is complete
});
----- OR -----
// for synchronous version, if you want to wait for the write to complete or error
await upscaler.upscale(file);
----- OR -----
// asynchronous
upscaler.upscale(file);upscale() can also take per call options for output filetype and scale.
let outputPath = "path_to_output";
await upscaler.upscale(file, outputPath, "png", 4);
await upscaler.upscale(file, outputPath, "png", 4, "uniscale_restore");
// Use uniscale_restore model for this runAll of the other functions available in the class:
upscaler.setDefaultModel("modelName");
// Sets the model that the upscaler uses by default when one is not specified otherwise.
// If this is not called, the upscaler will use ultrasharp-2.0.1.
// Returns: nothing
upscaler.getListOfModels();
// Returns: array of strings that represents all the available models
upscaler.setMaxJobs(4);
// Set the maximum number of concurrent jobs.
// By default, the max is 4. Set this as high as your hardware can handle.
upscaler.setDownloadProgressCallback(callback);
// "callback" is a function that will be called about every 0.5 seconds while a download is
// in progress. Currently does not provide progress.
upscaler.getJobStatus(jobID);
// jobID is returned when upscaler.upscale() resolves. This function will return a string
// indicating the status of the job.
upscaler.getJob(jobID);
// jobID is returned when upscaler.upscale() resolves. this function returns an object with
// several pieces of information about the job. Use something like JSON.stringify();
upscaler.getNumberOfRunningJobs();
// Returns the number of currently running jobs.
upscaler.getNumberOfWaitingJobs();
// Returns the number of jobs waiting to run.
upscaler.upscaleJob(...);
// Takes the same params as upscaler.upscale(). This is an async function that runs the upscale
// immediately. You can use this function if you want to bypass the job queue altogether.Making repeated calls to upscaleJob() without await'ing it will initiate multiple instances of Real-ESRGAN ncnn Vulkan. If this is done too quickly, you may overload you system. Just be cautious.
As mentioned above, this module depends on upscayl/upscayl-ncnn along with (at least) one of the models available from Upscayl's custom models. You could download all the resources yourself, but it's easier to let the module do the work for you.
The first time you run the module (like the first time in that particular working directory), it will check for resources and download whatever is needed. The models are about 300MB, so that could take a minute or two on slower connections. There's a hardcoded file size for that download so it'll show download progress. This means if they ever change the size of the file, and I don't get around to updating it, the progress will be off.
Once it gets everything downloaded and unzipped, it will be ready to upscale images for.
The default model that it uses was selected because it looks quite good when working with images from Midjourney. There are several in the models folder that gets downloaded, so have a look and experiment if you feel so inclined.
- Changed the Real-ESRGAN-ncnn-vulkan binary source from github.com/xinntao/Real-ESRGAN-ncnn-vulkan to Upscayl's build of the same project as they are actively developing their branch.
- Rewrote upscale(). Upscale jobs now queue and a maximum number of concurrent jobs can be set so that you don't overload your system. There's also some related functions for getting job status.
- Added capability to get list of available models and to set a default. Each job can also be run with a specific model.
- Moved some functions out of the class.
- Probably added some bugs. Whoops.
- Initial release.
If you want to contribute, feel free to submit a PR. I'm not a node.js developer, so I'm sure there are things that could be done better. Also, please feel free to submit issues if you find bugs or have suggestions. Mac and Linux support would be great. These should be easy to add, but I don't have a Mac and I don't have a Linux machine with a Vulkan capable GPU.
I make no warrantees or guarantees about this software. I can't be sure that this implementation doesn't violate the terms of use or license for Upscayl. Use at your own risk.
GPL, I guess. Just don't steal it and do something stupid with it. If you use my code, link back to me somehow, please.