Upscaling
Former-commit-id: b8f0e47edd2f2f5ab2f8cae911c8739bd9d41b7f
This commit is contained in:
Kalekki
parent
70281c4f43
commit
837de404ee
2 changed files with 140 additions and 2 deletions
|
|
@ -89,6 +89,10 @@
|
|||
<input type="file" id="preloadImage" onchange="preloadImage()" accept="image/*" /
|
||||
style="width: 200px;"><br />
|
||||
<button onclick="downloadCanvas()">Save canvas</button><br />
|
||||
<label for="upscalers">Choose upscaler</label>
|
||||
<select id="upscalers"></select>
|
||||
<button onclick="upscaleAndDownload()">Upscale (might take a sec)</button><br />
|
||||
|
||||
<button onclick="newImage()">Clear canvas</button>
|
||||
</div>
|
||||
<!-- Degub info -->
|
||||
|
|
|
|||
138
js/index.js
138
js/index.js
|
|
@ -154,6 +154,7 @@ const bgCtx = bgCanvas.getContext("2d");
|
|||
function startup() {
|
||||
checkIfWebuiIsRunning();
|
||||
loadSettings();
|
||||
getUpscalers();
|
||||
drawBackground();
|
||||
changeScaleFactor();
|
||||
changePaintMode();
|
||||
|
|
@ -904,8 +905,8 @@ function cropCanvas(sourceCanvas) {
|
|||
return a - b;
|
||||
});
|
||||
var n = pix.x.length - 1;
|
||||
w = pix.x[n] - pix.x[0];
|
||||
h = pix.y[n] - pix.y[0];
|
||||
w = (pix.x[n] - pix.x[0])+1;
|
||||
h = (pix.y[n] - pix.y[0])+1;
|
||||
// yup sure looks like it
|
||||
|
||||
try {
|
||||
|
|
@ -940,6 +941,139 @@ function checkIfWebuiIsRunning() {
|
|||
});
|
||||
}
|
||||
|
||||
function getUpscalers() {
|
||||
|
||||
/*
|
||||
so for some reason when upscalers request returns upscalers, the real-esrgan model names are incorrect, and need to be fetched from /sdapi/v1/realesrgan-models
|
||||
also the realesrgan models returned are not all correct, extra fun!
|
||||
LDSR seems to have problems so we dont add that either -> RuntimeError: Number of dimensions of repeat dims can not be smaller than number of dimensions of tensor
|
||||
need to figure out why that is, if you dont get this error then you can add it back in
|
||||
|
||||
Hacky way to get the correct list all in one go is to purposefully make an incorrect request, which then returns
|
||||
{ detail: "Invalid upscaler, needs to be on of these: None , Lanczos , Nearest , LDSR , BSRGAN , R-ESRGAN General 4xV3 , R-ESRGAN 4x+ Anime6B , ScuNET , ScuNET PSNR , SwinIR_4x" }
|
||||
from which we can extract the correct list of upscalers
|
||||
*/
|
||||
|
||||
// hacky way to get the correct list of upscalers
|
||||
var upscalerSelect = document.getElementById("upscalers");
|
||||
var extras_url = document.getElementById("host").value + "/sdapi/v1/extra-single-image/" // endpoint for upscaling, needed for the hacky way to get the correct list of upscalers
|
||||
var empty_image = new Image(512, 512);
|
||||
empty_image.src = "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAFCAAAAABCAYAAAChpRsuAAAALklEQVR42u3BAQ0AAAgDoJvc6LeHAybtBgAAAAAAAAAAAAAAAAAAAAAAAAB47QD2wAJ/LnnqGgAAAABJRU5ErkJggg=="; //transparent pixel
|
||||
var purposefully_incorrect_data = {
|
||||
"resize-mode" : 0, // 0 = just resize, 1 = crop and resize, 2 = resize and fill i assume based on theimg2img tabs options
|
||||
"upscaling_resize": 2,
|
||||
"upscaler_1": "fake_upscaler",
|
||||
"image": empty_image.src,
|
||||
}
|
||||
|
||||
fetch(extras_url, {
|
||||
method: "POST",
|
||||
headers: {
|
||||
Accept: "application/json",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify(purposefully_incorrect_data),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
console.log( "purposefully_incorrect_data response, ignore above error");
|
||||
// result = purposefully_incorrect_data response: Invalid upscaler, needs to be on of these: None , Lanczos , Nearest , LDSR , BSRGAN , R-ESRGAN General 4xV3 , R-ESRGAN 4x+ Anime6B , ScuNET , ScuNET PSNR , SwinIR_4x
|
||||
let upscalers = data.detail.split(": ")[1].trim().split(" , "); // converting the result to a list of upscalers
|
||||
for (var i = 0; i < upscalers.length; i++) {
|
||||
if(upscalers[i] == "LDSR") continue; // Skip LDSR, see reason in the first comment
|
||||
var option = document.createElement("option");
|
||||
option.text = upscalers[i];
|
||||
option.value = upscalers[i];
|
||||
upscalerSelect.add(option);
|
||||
}
|
||||
|
||||
})
|
||||
|
||||
|
||||
/* THE NON HACKY WAY THAT I SIMPLY COULD NOT GET TO PRODUCE A LIST WITHOUT NON WORKING UPSCALERS, FEEL FREE TO TRY AND FIGURE IT OUT
|
||||
|
||||
var url = document.getElementById("host").value + "/sdapi/v1/upscalers";
|
||||
var realesrgan_url = document.getElementById("host").value + "/sdapi/v1/realesrgan-models";
|
||||
|
||||
// get upscalers
|
||||
fetch(url)
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
console.log(data);
|
||||
|
||||
for (var i = 0; i < data.length; i++) {
|
||||
var option = document.createElement("option");
|
||||
|
||||
if (data[i].name.includes("ESRGAN") || data[i].name.includes("LDSR")) {
|
||||
continue;
|
||||
}
|
||||
option.text = data[i].name;
|
||||
upscalerSelect.add(option);
|
||||
}
|
||||
})
|
||||
.catch((error) => {
|
||||
alert(
|
||||
"Error getting upscalers, please check console for additional info\n" +
|
||||
error
|
||||
);
|
||||
});
|
||||
// fetch realesrgan models separately
|
||||
fetch(realesrgan_url)
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
var model = data;
|
||||
for(var i = 0; i < model.length; i++){
|
||||
let option = document.createElement("option");
|
||||
option.text = model[i].name;
|
||||
option.value = model[i].name;
|
||||
upscalerSelect.add(option);
|
||||
|
||||
}
|
||||
|
||||
})
|
||||
*/
|
||||
}
|
||||
|
||||
async function upscaleAndDownload(){
|
||||
// Future improvements: some upscalers take a while to upscale, so we should show a loading bar or something, also a slider for the upscale amount
|
||||
|
||||
// get cropped canvas, send it to upscaler, download result
|
||||
var upscale_factor = 2; // TODO: make this a user input 1.x - 4.0 or something
|
||||
var upscaler = document.getElementById("upscalers").value;
|
||||
var croppedCanvas = cropCanvas(imgCanvas);
|
||||
if (croppedCanvas != null) {
|
||||
var upscaler = document.getElementById("upscalers").value;
|
||||
var url = document.getElementById("host").value + "/sdapi/v1/extra-single-image/";
|
||||
var imgdata = croppedCanvas.toDataURL("image/png");
|
||||
var data = {
|
||||
"resize-mode" : 0, // 0 = just resize, 1 = crop and resize, 2 = resize and fill i assume based on theimg2img tabs options
|
||||
"upscaling_resize": upscale_factor,
|
||||
"upscaler_1": upscaler,
|
||||
"image": imgdata,
|
||||
}
|
||||
console.log(data);
|
||||
await fetch(url, {
|
||||
method: "POST",
|
||||
headers: {
|
||||
Accept: "application/json",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify(data),
|
||||
})
|
||||
.then((response) => response.json())
|
||||
.then((data) => {
|
||||
console.log(data);
|
||||
var link = document.createElement("a");
|
||||
link.download =
|
||||
new Date().toISOString().slice(0, 19).replace("T", " ").replace(":", " ") +
|
||||
" openOutpaint image upscaler_"+upscaler+".png";
|
||||
link.href = "data:image/png;base64,"+data["image"];
|
||||
link.click();
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
function loadSettings() {
|
||||
// set default values if not set
|
||||
var _sampler =
|
||||
|
|
|
|||
Loading…
Reference in a new issue