337 lines
13 KiB
JavaScript
337 lines
13 KiB
JavaScript
|
|
import { app } from "../../../scripts/app.js";
|
|
import { ComfyApp } from "../../../scripts/app.js";
|
|
import { api } from "../../../scripts/api.js";
|
|
import MaskEditorForVframes from "./MaskEditorForVframes.js";
|
|
import getVideoFrames from "./getVideoFrames_js/mod.js"
|
|
|
|
let sequentialimageloader_getExtraMenuOptionsOverrided = [];
|
|
|
|
|
|
|
|
function showImage(name, node) {
|
|
const img = new Image();
|
|
img.onload = () => {
|
|
node.extVframes = [img];
|
|
app.graph.setDirtyCanvas(true);
|
|
};
|
|
let folder_separator = name.lastIndexOf("/");
|
|
let subfolder = "";
|
|
if (folder_separator > -1) {
|
|
subfolder = name.substring(0, folder_separator);
|
|
name = name.substring(folder_separator + 1);
|
|
}
|
|
img.src = api.apiURL(`/view?filename=${encodeURIComponent(name)}&type=input&subfolder=${subfolder}${app.getPreviewFormatParam()}`);
|
|
node.setSizeForImage?.();
|
|
}
|
|
|
|
async function uploadFile(file, updateNode, vframeId, node) {
|
|
if (!file.type.startsWith("image/"))
|
|
return;
|
|
|
|
try {
|
|
// Wrap file in formdata so it includes filename
|
|
const body = new FormData();
|
|
body.append("image", file, file.name);
|
|
body.append("subfolder", "extVideoFrame" + String(vframeId));
|
|
const resp = await api.fetchApi("/upload/image", {
|
|
method: "POST",
|
|
body,
|
|
});
|
|
|
|
if (resp.status === 200) {
|
|
const data = await resp.json();
|
|
// update the widget value
|
|
let path = data.name;
|
|
if (data.subfolder) path = data.subfolder + "/" + path;
|
|
|
|
if (updateNode) {
|
|
showImage(path, node);
|
|
}
|
|
} else {
|
|
alert(resp.status + " - " + resp.statusText);
|
|
}
|
|
} catch (error) {
|
|
alert(error);
|
|
}
|
|
}
|
|
|
|
async function uplaodSequentialDataCore(node, inputName, inputData, app, fileInput) {
|
|
const idWidget = node.widgets.find((w) => w.name === "sequence_id");
|
|
|
|
// Add our own callback to the combo widget to render an image when it changes
|
|
idWidget.callback = function () {
|
|
// let imageData = idWidget.value.split(":");
|
|
// let dirIds = imageData[imageData.length - 1].split("/");
|
|
// showImage("extVideoFrame" + dirIds[0] + "/" + imageData[0]);
|
|
};
|
|
|
|
// On load if we have a value then render the image
|
|
requestAnimationFrame(() => {
|
|
if (idWidget.value) {
|
|
let imageData = idWidget.value.split(":");
|
|
let dirIds = imageData[imageData.length - 1].split("/");
|
|
showImage("extVideoFrame" + dirIds[0] + "/" + imageData[0], node);
|
|
}
|
|
});
|
|
|
|
document.body.append(fileInput);
|
|
|
|
// Create the button widget for selecting the files
|
|
let uploadWidget = node.addWidget("button", fileInput['data-disp-msg'], "image", () => {
|
|
fileInput.click();
|
|
});
|
|
uploadWidget.serialize = false;
|
|
|
|
// Add handler to check if an image is being dragged over our node
|
|
node.onDragOver = function (e) {
|
|
if (e.dataTransfer && e.dataTransfer.items) {
|
|
const image = [...e.dataTransfer.items].find((f) => f.kind === "file");
|
|
return !!image;
|
|
}
|
|
|
|
return false;
|
|
};
|
|
|
|
// On drop upload files
|
|
node.onDragDrop = function (e) {
|
|
// console.log("onDragDrop called");
|
|
// let handled = false;
|
|
// for (const file of e.dataTransfer.files) {
|
|
// if (file.type.startsWith("image/")) {
|
|
// uploadFile(file, !handled); // Dont await these, any order is fine, only update on first one
|
|
// handled = true;
|
|
// }
|
|
// }
|
|
|
|
return handled;
|
|
};
|
|
|
|
return { widget: uploadWidget };
|
|
}
|
|
|
|
|
|
app.registerExtension({
|
|
|
|
name: "ComfyUI.sequentialimageloader.inpaint",
|
|
|
|
async init(app)
|
|
{
|
|
ComfyApp.ext_open_maskeditor_for_vframes =
|
|
function (idWidget) {
|
|
|
|
const dlg = MaskEditorForVframes.getInstance();
|
|
dlg.path_data = idWidget.value;
|
|
dlg.updatePathDataHnadler = (maskDirId, sketchDirId) => {
|
|
let imageData = idWidget.value.split(":");
|
|
let dirIdStr = imageData.pop();
|
|
let dirIds = dirIdStr.split("/");
|
|
|
|
dirIds = [dirIds[0], maskDirId, sketchDirId];
|
|
dirIdStr = dirIds.join("/");
|
|
imageData.push(dirIdStr);
|
|
|
|
idWidget.value = imageData.join(":");
|
|
};
|
|
if(!dlg.isOpened()) {
|
|
dlg.show();
|
|
}
|
|
};
|
|
},
|
|
async setup()
|
|
{
|
|
},
|
|
async beforeRegisterNodeDef(nodeType, nodeData, app)
|
|
{
|
|
if (nodeData.name !== "VFrame Loader With Mask Editor"
|
|
&& nodeData.name !== "Video Loader With Mask Editor")
|
|
return;
|
|
|
|
if (!sequentialimageloader_getExtraMenuOptionsOverrided.includes(nodeData.name)) {
|
|
// menu initializing
|
|
const originalProto = nodeType.prototype.getExtraMenuOptions;
|
|
nodeType.prototype.getExtraMenuOptions = function (_, options){
|
|
// do original processing
|
|
originalProto.bind(this)(_, options);
|
|
|
|
// add mask menu
|
|
if (this.extVframes) {
|
|
options.push({
|
|
content: "Open in MaskEditor",
|
|
callback: (obj) => {
|
|
// ComfyApp.copyToClipspace(this);
|
|
// ComfyApp.clipspace_return_node = this;
|
|
|
|
ComfyApp.ext_open_maskeditor_for_vframes(this.widgets[0]);
|
|
}
|
|
});
|
|
}
|
|
}
|
|
sequentialimageloader_getExtraMenuOptionsOverrided.push(nodeData.name);
|
|
}
|
|
|
|
// head image drawing
|
|
nodeType.prototype.onDrawBackground = function (ctx) {
|
|
|
|
// Draw individual
|
|
if (this.extVframes) {
|
|
|
|
function getImageTop(node) {
|
|
let shiftY;
|
|
if (node.imageOffset != null) {
|
|
shiftY = node.imageOffset;
|
|
} else {
|
|
if (node.widgets?.length) {
|
|
const w = node.widgets[node.widgets.length - 1];
|
|
shiftY = w.last_y;
|
|
if (w.computeSize) {
|
|
shiftY += w.computeSize()[1] + 4;
|
|
}
|
|
else if(w.computedHeight) {
|
|
shiftY += w.computedHeight;
|
|
}
|
|
else {
|
|
shiftY += LiteGraph.NODE_WIDGET_HEIGHT + 4;
|
|
}
|
|
} else {
|
|
shiftY = node.computeSize()[1];
|
|
}
|
|
}
|
|
return shiftY;
|
|
}
|
|
|
|
const shiftY = getImageTop(this);
|
|
let dw = this.size[0];
|
|
let dh = this.size[1] - shiftY;
|
|
let w = this.extVframes[0].naturalWidth;
|
|
let h = this.extVframes[0].naturalHeight;
|
|
|
|
const scaleX = dw / w;
|
|
const scaleY = dh / h;
|
|
const scale = Math.min(scaleX, scaleY, 1);
|
|
|
|
w *= scale;
|
|
h *= scale;
|
|
|
|
let x = (dw - w) / 2;
|
|
let y = (dh - h) / 2 + shiftY;
|
|
ctx.drawImage(this.extVframes[0], x, y, w, h);
|
|
}
|
|
}
|
|
|
|
// widget setting
|
|
// Adds an upload button to the nodes
|
|
if (nodeData?.input?.required?.sequence_id?.[1]?.frames_upload === true) {
|
|
nodeData.input.required.upload = ["VFRAMESUPLOAD"];
|
|
}
|
|
else if (nodeData?.input?.required?.sequence_id?.[1]?.video_upload === true) {
|
|
nodeData.input.required.upload = ["VIDEOUPLOAD"];
|
|
}
|
|
},
|
|
async getCustomWidgets()
|
|
{
|
|
return {
|
|
VFRAMESUPLOAD(node, inputName, inputData, app) {
|
|
const idWidget = node.widgets.find((w) => w.name === "sequence_id");
|
|
|
|
const fileInput = document.createElement("input");
|
|
Object.assign(fileInput, {
|
|
type: "file",
|
|
style: "display: none",
|
|
webkitdirectory: true,
|
|
'data-disp-msg': "choose image directory to upload",
|
|
onchange: async () => {
|
|
if (fileInput.files.length) {
|
|
const vframeId = Date.now();
|
|
let vframeData = "";
|
|
|
|
for (let i = 0; i < fileInput.files.length; i++) {
|
|
vframeData += fileInput.files[i].name + ":";
|
|
await uploadFile(
|
|
fileInput.files[i], i === 0, vframeId, node);
|
|
}
|
|
vframeData += String(vframeId);
|
|
idWidget.value = vframeData;
|
|
}
|
|
},
|
|
});
|
|
|
|
return uplaodSequentialDataCore(node, inputName, inputData, app, fileInput);
|
|
},
|
|
VIDEOUPLOAD(node, inputName, inputData, app) {
|
|
const idWidget = node.widgets.find((w) => w.name === "sequence_id");
|
|
|
|
async function getFramesFromVideo(file) {
|
|
const imageType = 'image/png';
|
|
let frameCount = 0;
|
|
let tWidth, tHeight;
|
|
let videoUrl = URL.createObjectURL(file);
|
|
let fCanvases = [];
|
|
|
|
await getVideoFrames({
|
|
videoUrl,
|
|
async onFrame(vframe) { // `frame` is a VideoFrame object
|
|
let fCanvas = document.createElement('canvas');
|
|
fCanvas.width = tWidth;
|
|
fCanvas.height = tHeight;
|
|
|
|
fCanvas.getContext('2d').drawImage(vframe, 0, 0, fCanvas.width, fCanvas.height);
|
|
vframe.close();
|
|
fCanvases.push(fCanvas);
|
|
},
|
|
onConfig(config) {
|
|
tWidth = config.codedWidth;
|
|
tHeight = config.codedHeight;
|
|
},
|
|
onFinish() {
|
|
},
|
|
});
|
|
|
|
let frames = await Promise.all(
|
|
fCanvases.map(fCanvas =>
|
|
new Promise((resolve, reject) => {
|
|
fCanvas.toBlob(blob => {
|
|
if (blob) {
|
|
blob.name = ("00000000" + frameCount++).slice(-8) + ".png";
|
|
resolve(blob);
|
|
} else {
|
|
reject(new Error('blob creating failed'));
|
|
}
|
|
}, imageType);
|
|
})));
|
|
|
|
URL.revokeObjectURL(videoUrl); // revoke URL to prevent memory leak
|
|
console.log("Frame extraction completed with " + frameCount + " frames");
|
|
|
|
return frames;
|
|
}
|
|
|
|
const fileInput = document.createElement("input");
|
|
Object.assign(fileInput, {
|
|
type: "file",
|
|
style: "display: none",
|
|
accept: "video/*",
|
|
'data-disp-msg': "choose mp4 to upload",
|
|
onchange: async () => {
|
|
if (fileInput.files.length) {
|
|
const file = fileInput.files[0];
|
|
const frames = await getFramesFromVideo(file);
|
|
|
|
const vframeId = Date.now();
|
|
let vframeData = "";
|
|
|
|
for (let i = 0; i < frames.length; i++) {
|
|
vframeData += frames[i].name + ":";
|
|
await uploadFile(frames[i], i === 0, vframeId, node);
|
|
}
|
|
vframeData += String(vframeId);
|
|
idWidget.value = vframeData;
|
|
}
|
|
},
|
|
});
|
|
|
|
return uplaodSequentialDataCore(node, inputName, inputData, app, fileInput);
|
|
}
|
|
}
|
|
}
|
|
}) |