mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-12-29 18:39:10 +01:00
1371 lines
50 KiB
JavaScript
1371 lines
50 KiB
JavaScript
"use strict" // Opt in to a restricted variant of JavaScript
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const MAX_INIT_IMAGE_DIMENSION = 768
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const MIN_GPUS_TO_SHOW_SELECTION = 2
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const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64')
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const htmlTaskMap = new WeakMap()
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let promptField = document.querySelector('#prompt')
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let promptsFromFileSelector = document.querySelector('#prompt_from_file')
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let promptsFromFileBtn = document.querySelector('#promptsFromFileBtn')
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let negativePromptField = document.querySelector('#negative_prompt')
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let numOutputsTotalField = document.querySelector('#num_outputs_total')
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let numOutputsParallelField = document.querySelector('#num_outputs_parallel')
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let numInferenceStepsField = document.querySelector('#num_inference_steps')
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let guidanceScaleSlider = document.querySelector('#guidance_scale_slider')
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let guidanceScaleField = document.querySelector('#guidance_scale')
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let outputQualitySlider = document.querySelector('#output_quality_slider')
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let outputQualityField = document.querySelector('#output_quality')
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let outputQualityRow = document.querySelector('#output_quality_row')
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let randomSeedField = document.querySelector("#random_seed")
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let seedField = document.querySelector('#seed')
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let widthField = document.querySelector('#width')
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let heightField = document.querySelector('#height')
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let initImageSelector = document.querySelector("#init_image")
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let initImagePreview = document.querySelector("#init_image_preview")
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let initImageSizeBox = document.querySelector("#init_image_size_box")
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let maskImageSelector = document.querySelector("#mask")
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let maskImagePreview = document.querySelector("#mask_preview")
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let applyColorCorrectionField = document.querySelector('#apply_color_correction')
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let colorCorrectionSetting = document.querySelector('#apply_color_correction_setting')
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let promptStrengthSlider = document.querySelector('#prompt_strength_slider')
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let promptStrengthField = document.querySelector('#prompt_strength')
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let samplerField = document.querySelector('#sampler')
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let samplerSelectionContainer = document.querySelector("#samplerSelection")
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let useFaceCorrectionField = document.querySelector("#use_face_correction")
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let useUpscalingField = document.querySelector("#use_upscale")
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let upscaleModelField = document.querySelector("#upscale_model")
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let stableDiffusionModelField = document.querySelector('#stable_diffusion_model')
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let vaeModelField = document.querySelector('#vae_model')
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let hypernetworkModelField = document.querySelector('#hypernetwork_model')
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let hypernetworkStrengthSlider = document.querySelector('#hypernetwork_strength_slider')
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let hypernetworkStrengthField = document.querySelector('#hypernetwork_strength')
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let outputFormatField = document.querySelector('#output_format')
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let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image")
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let updateBranchLabel = document.querySelector("#updateBranchLabel")
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let streamImageProgressField = document.querySelector("#stream_image_progress")
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let makeImageBtn = document.querySelector('#makeImage')
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let stopImageBtn = document.querySelector('#stopImage')
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let imagesContainer = document.querySelector('#current-images')
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let initImagePreviewContainer = document.querySelector('#init_image_preview_container')
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let initImageClearBtn = document.querySelector('.init_image_clear')
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let promptStrengthContainer = document.querySelector('#prompt_strength_container')
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let initialText = document.querySelector("#initial-text")
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let previewTools = document.querySelector("#preview-tools")
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let clearAllPreviewsBtn = document.querySelector("#clear-all-previews")
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let maskSetting = document.querySelector('#enable_mask')
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const processOrder = document.querySelector('#process_order_toggle')
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let imagePreview = document.querySelector("#preview")
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imagePreview.addEventListener('drop', function(ev) {
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const data = ev.dataTransfer?.getData("text/plain");
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if (!data) {
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return
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}
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const movedTask = document.getElementById(data)
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if (!movedTask) {
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return
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}
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ev.preventDefault()
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let moveTarget = ev.target
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while (moveTarget && typeof moveTarget === 'object' && moveTarget.parentNode !== imagePreview) {
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moveTarget = moveTarget.parentNode
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}
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if (moveTarget === initialText || moveTarget === previewTools) {
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moveTarget = null
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}
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if (moveTarget === movedTask) {
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return
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}
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if (moveTarget) {
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const childs = Array.from(imagePreview.children)
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if (moveTarget.nextSibling && childs.indexOf(movedTask) < childs.indexOf(moveTarget)) {
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// Move after the target if lower than current position.
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moveTarget = moveTarget.nextSibling
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}
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}
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const newNode = imagePreview.insertBefore(movedTask, moveTarget || previewTools.nextSibling)
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if (newNode === movedTask) {
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return
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}
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imagePreview.removeChild(movedTask)
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const task = htmlTaskMap.get(movedTask)
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if (task) {
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htmlTaskMap.delete(movedTask)
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}
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if (task) {
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htmlTaskMap.set(newNode, task)
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}
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})
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let showConfigToggle = document.querySelector('#configToggleBtn')
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// let configBox = document.querySelector('#config')
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// let outputMsg = document.querySelector('#outputMsg')
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let soundToggle = document.querySelector('#sound_toggle')
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let serverStatusColor = document.querySelector('#server-status-color')
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let serverStatusMsg = document.querySelector('#server-status-msg')
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function getLocalStorageBoolItem(key, fallback) {
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let item = localStorage.getItem(key)
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if (item === null) {
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return fallback
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}
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return (item === 'true' ? true : false)
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}
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function handleBoolSettingChange(key) {
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return function(e) {
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localStorage.setItem(key, e.target.checked.toString())
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}
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}
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function handleStringSettingChange(key) {
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return function(e) {
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localStorage.setItem(key, e.target.value.toString())
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}
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}
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function isSoundEnabled() {
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return getSetting("sound_toggle")
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}
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function getSavedDiskPath() {
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return getSetting("diskPath")
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}
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function setStatus(statusType, msg, msgType) {
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}
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function setServerStatus(event) {
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switch(event.type) {
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case 'online':
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serverStatusColor.style.color = 'green'
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serverStatusMsg.style.color = 'green'
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serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message
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break
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case 'busy':
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serverStatusColor.style.color = 'rgb(200, 139, 0)'
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serverStatusMsg.style.color = 'rgb(200, 139, 0)'
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serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message
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break
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case 'error':
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serverStatusColor.style.color = 'red'
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serverStatusMsg.style.color = 'red'
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serverStatusMsg.innerText = 'Stable Diffusion has stopped'
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break
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}
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if (SD.serverState.devices) {
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setDeviceInfo(SD.serverState.devices)
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}
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}
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// shiftOrConfirm(e, prompt, fn)
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// e : MouseEvent
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// prompt : Text to be shown as prompt. Should be a question to which "yes" is a good answer.
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// fn : function to be called if the user confirms the dialog or has the shift key pressed
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//
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// If the user had the shift key pressed while clicking, the function fn will be executed.
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// If the setting "confirm_dangerous_actions" in the system settings is disabled, the function
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// fn will be executed.
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// Otherwise, a confirmation dialog is shown. If the user confirms, the function fn will also
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// be executed.
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function shiftOrConfirm(e, prompt, fn) {
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e.stopPropagation()
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if (e.shiftKey || !confirmDangerousActionsField.checked) {
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fn(e)
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} else {
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$.confirm({
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theme: 'modern',
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title: prompt,
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useBootstrap: false,
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animateFromElement: false,
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content: '<small>Tip: To skip this dialog, use shift-click or disable the "Confirm dangerous actions" setting in the Settings tab.</small>',
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buttons: {
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yes: () => { fn(e) },
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cancel: () => {}
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}
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});
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}
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}
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function logMsg(msg, level, outputMsg) {
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if (outputMsg.hasChildNodes()) {
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outputMsg.appendChild(document.createElement('br'))
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}
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if (level === 'error') {
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outputMsg.innerHTML += '<span style="color: red">Error: ' + msg + '</span>'
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} else if (level === 'warn') {
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outputMsg.innerHTML += '<span style="color: orange">Warning: ' + msg + '</span>'
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} else {
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outputMsg.innerText += msg
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}
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console.log(level, msg)
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}
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function logError(msg, res, outputMsg) {
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logMsg(msg, 'error', outputMsg)
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console.log('request error', res)
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setStatus('request', 'error', 'error')
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}
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function playSound() {
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const audio = new Audio('/media/ding.mp3')
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audio.volume = 0.2
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var promise = audio.play()
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if (promise !== undefined) {
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promise.then(_ => {}).catch(error => {
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console.warn("browser blocked autoplay")
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})
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}
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}
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function showImages(reqBody, res, outputContainer, livePreview) {
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let imageItemElements = outputContainer.querySelectorAll('.imgItem')
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if(typeof res != 'object') return
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res.output.reverse()
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res.output.forEach((result, index) => {
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const imageData = result?.data || result?.path + '?t=' + Date.now(),
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imageSeed = result?.seed,
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imagePrompt = reqBody.prompt,
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imageInferenceSteps = reqBody.num_inference_steps,
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imageGuidanceScale = reqBody.guidance_scale,
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imageWidth = reqBody.width,
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imageHeight = reqBody.height;
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if (!imageData.includes('/')) {
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// res contained no data for the image, stop execution
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setStatus('request', 'invalid image', 'error')
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return
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}
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let imageItemElem = (index < imageItemElements.length ? imageItemElements[index] : null)
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if(!imageItemElem) {
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imageItemElem = document.createElement('div')
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imageItemElem.className = 'imgItem'
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imageItemElem.innerHTML = `
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<div class="imgContainer">
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<img/>
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<div class="imgItemInfo">
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<span class="imgSeedLabel"></span>
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</div>
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</div>
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`
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outputContainer.appendChild(imageItemElem)
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}
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const imageElem = imageItemElem.querySelector('img')
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imageElem.src = imageData
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imageElem.width = parseInt(imageWidth)
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imageElem.height = parseInt(imageHeight)
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imageElem.setAttribute('data-prompt', imagePrompt)
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imageElem.setAttribute('data-steps', imageInferenceSteps)
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imageElem.setAttribute('data-guidance', imageGuidanceScale)
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const imageInfo = imageItemElem.querySelector('.imgItemInfo')
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imageInfo.style.visibility = (livePreview ? 'hidden' : 'visible')
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if ('seed' in result && !imageElem.hasAttribute('data-seed')) {
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const req = Object.assign({}, reqBody, {
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seed: result?.seed || reqBody.seed
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})
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imageElem.setAttribute('data-seed', req.seed)
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const imageSeedLabel = imageItemElem.querySelector('.imgSeedLabel')
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imageSeedLabel.innerText = 'Seed: ' + req.seed
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let buttons = [
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{ text: 'Use as Input', on_click: onUseAsInputClick },
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{ text: 'Download', on_click: onDownloadImageClick },
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{ text: 'Make Similar Images', on_click: onMakeSimilarClick },
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{ text: 'Draw another 25 steps', on_click: onContinueDrawingClick },
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{ text: 'Upscale', on_click: onUpscaleClick, filter: (req, img) => !req.use_upscale },
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{ text: 'Fix Faces', on_click: onFixFacesClick, filter: (req, img) => !req.use_face_correction }
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]
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// include the plugins
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buttons = buttons.concat(PLUGINS['IMAGE_INFO_BUTTONS'])
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const imgItemInfo = imageItemElem.querySelector('.imgItemInfo')
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const img = imageItemElem.querySelector('img')
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const createButton = function(btnInfo) {
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const newButton = document.createElement('button')
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newButton.classList.add('tasksBtns')
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newButton.innerText = btnInfo.text
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newButton.addEventListener('click', function() {
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btnInfo.on_click(req, img)
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})
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imgItemInfo.appendChild(newButton)
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}
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buttons.forEach(btn => {
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if (btn.filter && btn.filter(req, img) === false) {
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return
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}
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createButton(btn)
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})
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}
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})
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}
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function onUseAsInputClick(req, img) {
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const imgData = img.src
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initImageSelector.value = null
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initImagePreview.src = imgData
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maskSetting.checked = false
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}
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function onDownloadImageClick(req, img) {
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const imgData = img.src
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const imageSeed = img.getAttribute('data-seed')
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const imagePrompt = img.getAttribute('data-prompt')
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const imageInferenceSteps = img.getAttribute('data-steps')
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const imageGuidanceScale = img.getAttribute('data-guidance')
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const imgDownload = document.createElement('a')
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imgDownload.download = createFileName(imagePrompt, imageSeed, imageInferenceSteps, imageGuidanceScale, req['output_format'])
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imgDownload.href = imgData
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imgDownload.click()
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}
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function modifyCurrentRequest(...reqDiff) {
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const newTaskRequest = getCurrentUserRequest()
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newTaskRequest.reqBody = Object.assign(newTaskRequest.reqBody, ...reqDiff, {
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use_cpu: useCPUField.checked
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})
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newTaskRequest.seed = newTaskRequest.reqBody.seed
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return newTaskRequest
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}
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function onMakeSimilarClick(req, img) {
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const newTaskRequest = modifyCurrentRequest(req, {
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num_outputs: 1,
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num_inference_steps: 50,
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guidance_scale: 7.5,
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prompt_strength: 0.7,
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init_image: img.src,
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seed: Math.floor(Math.random() * 10000000)
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})
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newTaskRequest.numOutputsTotal = 5
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newTaskRequest.batchCount = 5
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delete newTaskRequest.reqBody.mask
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createTask(newTaskRequest)
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}
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function enqueueImageVariationTask(req, img, reqDiff) {
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const imageSeed = img.getAttribute('data-seed')
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const newRequestBody = {
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num_outputs: 1, // this can be user-configurable in the future
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seed: imageSeed
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}
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// If the user is editing pictures, stop modifyCurrentRequest from importing
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// new values by setting the missing properties to undefined
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if (!('init_image' in req) && !('init_image' in reqDiff)) {
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newRequestBody.init_image = undefined
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newRequestBody.mask = undefined
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} else if (!('mask' in req) && !('mask' in reqDiff)) {
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newRequestBody.mask = undefined
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}
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const newTaskRequest = modifyCurrentRequest(req, reqDiff, newRequestBody)
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newTaskRequest.numOutputsTotal = 1 // this can be user-configurable in the future
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newTaskRequest.batchCount = 1
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createTask(newTaskRequest)
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}
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function onUpscaleClick(req, img) {
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enqueueImageVariationTask(req, img, {
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use_upscale: upscaleModelField.value
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})
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}
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function onFixFacesClick(req, img) {
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enqueueImageVariationTask(req, img, {
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use_face_correction: 'GFPGANv1.3'
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})
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}
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function onContinueDrawingClick(req, img) {
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enqueueImageVariationTask(req, img, {
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num_inference_steps: parseInt(req.num_inference_steps) + 25
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})
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}
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function getUncompletedTaskEntries() {
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const taskEntries = Array.from(
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document.querySelectorAll('#preview .imageTaskContainer .taskStatusLabel')
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).filter((taskLabel) => taskLabel.style.display !== 'none'
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).map(function(taskLabel) {
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let imageTaskContainer = taskLabel.parentNode
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while(!imageTaskContainer.classList.contains('imageTaskContainer') && imageTaskContainer.parentNode) {
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imageTaskContainer = imageTaskContainer.parentNode
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}
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return imageTaskContainer
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})
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if (!processOrder.checked) {
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taskEntries.reverse()
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}
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return taskEntries
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}
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function makeImage() {
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if (!SD.isServerAvailable()) {
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alert('The server is not available.')
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return
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}
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if (!randomSeedField.checked && seedField.value == '') {
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alert('The "Seed" field must not be empty.')
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return
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}
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if (numInferenceStepsField.value == '') {
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alert('The "Inference Steps" field must not be empty.')
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return
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}
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if (numOutputsTotalField.value == '') {
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numOutputsTotalField.value = 1
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}
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if (numOutputsParallelField.value == '') {
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numOutputsParallelField.value = 1
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}
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if (guidanceScaleField.value == '') {
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guidanceScaleField.value = guidanceScaleSlider.value / 10
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}
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const taskTemplate = getCurrentUserRequest()
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const newTaskRequests = getPrompts().map((prompt) => Object.assign({}, taskTemplate, {
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reqBody: Object.assign({ prompt: prompt }, taskTemplate.reqBody)
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}))
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newTaskRequests.forEach(createTask)
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initialText.style.display = 'none'
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}
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function onIdle() {
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const serverCapacity = SD.serverCapacity
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for (const taskEntry of getUncompletedTaskEntries()) {
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if (SD.activeTasks.size >= serverCapacity) {
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break
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}
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const task = htmlTaskMap.get(taskEntry)
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if (!task) {
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const taskStatusLabel = taskEntry.querySelector('.taskStatusLabel')
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taskStatusLabel.style.display = 'none'
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continue
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}
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onTaskStart(task)
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}
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}
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function getTaskUpdater(task, reqBody, outputContainer) {
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const outputMsg = task['outputMsg']
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const progressBar = task['progressBar']
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const progressBarInner = progressBar.querySelector("div")
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const batchCount = task.batchCount
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let lastStatus = undefined
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return async function(event) {
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if (this.status !== lastStatus) {
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lastStatus = this.status
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switch(this.status) {
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case SD.TaskStatus.pending:
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task['taskStatusLabel'].innerText = "Pending"
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task['taskStatusLabel'].classList.add('waitingTaskLabel')
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break
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case SD.TaskStatus.waiting:
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task['taskStatusLabel'].innerText = "Waiting"
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task['taskStatusLabel'].classList.add('waitingTaskLabel')
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task['taskStatusLabel'].classList.remove('activeTaskLabel')
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break
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case SD.TaskStatus.processing:
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case SD.TaskStatus.completed:
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task['taskStatusLabel'].innerText = "Processing"
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task['taskStatusLabel'].classList.add('activeTaskLabel')
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task['taskStatusLabel'].classList.remove('waitingTaskLabel')
|
|
break
|
|
case SD.TaskStatus.stopped:
|
|
break
|
|
case SD.TaskStatus.failed:
|
|
if (!SD.isServerAvailable()) {
|
|
logError("Stable Diffusion is still starting up, please wait. If this goes on beyond a few minutes, Stable Diffusion has probably crashed. Please check the error message in the command-line window.", event, outputMsg)
|
|
} else if (typeof event?.response === 'object') {
|
|
let msg = 'Stable Diffusion had an error reading the response:<br/><pre>'
|
|
if (this.exception) {
|
|
msg += `Error: ${this.exception.message}<br/>`
|
|
}
|
|
try { // 'Response': body stream already read
|
|
msg += 'Read: ' + await event.response.text()
|
|
} catch(e) {
|
|
msg += 'Unexpected end of stream. '
|
|
}
|
|
const bufferString = event.reader.bufferedString
|
|
if (bufferString) {
|
|
msg += 'Buffered data: ' + bufferString
|
|
}
|
|
msg += '</pre>'
|
|
logError(msg, event, outputMsg)
|
|
} else {
|
|
let msg = `Unexpected Read Error:<br/><pre>Error:${this.exception}<br/>EventInfo: ${JSON.stringify(event, undefined, 4)}</pre>`
|
|
logError(msg, event, outputMsg)
|
|
}
|
|
break
|
|
}
|
|
}
|
|
if ('update' in event) {
|
|
const stepUpdate = event.update
|
|
if (!('step' in stepUpdate)) {
|
|
return
|
|
}
|
|
// task.instances can be a mix of different tasks with uneven number of steps (Render Vs Filter Tasks)
|
|
const overallStepCount = task.instances.reduce(
|
|
(sum, instance) => sum + (instance.isPending ? Math.max(0, instance.step || stepUpdate.step) / (instance.total_steps || stepUpdate.total_steps) : 1),
|
|
0 // Initial value
|
|
) * stepUpdate.total_steps // Scale to current number of steps.
|
|
const totalSteps = task.instances.reduce(
|
|
(sum, instance) => sum + (instance.total_steps || stepUpdate.total_steps),
|
|
stepUpdate.total_steps * (batchCount - task.batchesDone) // Initial value at (unstarted task count * Nbr of steps)
|
|
)
|
|
const percent = Math.min(100, 100 * (overallStepCount / totalSteps)).toFixed(0)
|
|
|
|
const timeTaken = stepUpdate.step_time // sec
|
|
const stepsRemaining = Math.max(0, totalSteps - overallStepCount)
|
|
const timeRemaining = (timeTaken < 0 ? '' : millisecondsToStr(stepsRemaining * timeTaken * 1000))
|
|
outputMsg.innerHTML = `Batch ${task.batchesDone} of ${batchCount}. Generating image(s): ${percent}%. Time remaining (approx): ${timeRemaining}`
|
|
outputMsg.style.display = 'block'
|
|
progressBarInner.style.width = `${percent}%`
|
|
|
|
if (stepUpdate.output) {
|
|
showImages(reqBody, stepUpdate, outputContainer, true)
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
function abortTask(task) {
|
|
if (!task.isProcessing) {
|
|
return false
|
|
}
|
|
task.isProcessing = false
|
|
task.progressBar.classList.remove("active")
|
|
task['taskStatusLabel'].style.display = 'none'
|
|
task['stopTask'].innerHTML = '<i class="fa-solid fa-trash-can"></i> Remove'
|
|
if (!task.instances?.some((r) => r.isPending)) {
|
|
return
|
|
}
|
|
task.instances.forEach((instance) => {
|
|
try {
|
|
instance.abort()
|
|
} catch (e) {
|
|
console.error(e)
|
|
}
|
|
})
|
|
}
|
|
|
|
function onTaskErrorHandler(task, reqBody, instance, reason) {
|
|
if (!task.isProcessing) {
|
|
return
|
|
}
|
|
console.log('Render request %o, Instance: %o, Error: %s', reqBody, instance, reason)
|
|
abortTask(task)
|
|
const outputMsg = task['outputMsg']
|
|
logError('Stable Diffusion had an error. Please check the logs in the command-line window. <br/><br/>' + reason + '<br/><pre>' + reason.stack + '</pre>', task, outputMsg)
|
|
setStatus('request', 'error', 'error')
|
|
}
|
|
|
|
function onTaskCompleted(task, reqBody, instance, outputContainer, stepUpdate) {
|
|
if (typeof stepUpdate !== 'object') {
|
|
return
|
|
}
|
|
if (stepUpdate.status !== 'succeeded') {
|
|
const outputMsg = task['outputMsg']
|
|
let msg = ''
|
|
if ('detail' in stepUpdate && typeof stepUpdate.detail === 'string' && stepUpdate.detail.length > 0) {
|
|
msg = stepUpdate.detail
|
|
if (msg.toLowerCase().includes('out of memory')) {
|
|
msg += `<br/><br/>
|
|
<b>Suggestions</b>:
|
|
<br/>
|
|
1. If you have set an initial image, please try reducing its dimension to ${MAX_INIT_IMAGE_DIMENSION}x${MAX_INIT_IMAGE_DIMENSION} or smaller.<br/>
|
|
2. Try disabling the '<em>Turbo mode</em>' under '<em>Advanced Settings</em>'.<br/>
|
|
3. Try generating a smaller image.<br/>`
|
|
}
|
|
} else {
|
|
msg = `Unexpected Read Error:<br/><pre>StepUpdate: ${JSON.stringify(stepUpdate, undefined, 4)}</pre>`
|
|
}
|
|
logError(msg, stepUpdate, outputMsg)
|
|
return false
|
|
}
|
|
showImages(reqBody, stepUpdate, outputContainer, false)
|
|
if (task.isProcessing && task.batchesDone < task.batchCount) {
|
|
task['taskStatusLabel'].innerText = "Pending"
|
|
task['taskStatusLabel'].classList.add('waitingTaskLabel')
|
|
task['taskStatusLabel'].classList.remove('activeTaskLabel')
|
|
return
|
|
}
|
|
if ('instances' in task && task.instances.some((ins) => ins != instance && ins.isPending)) {
|
|
return
|
|
}
|
|
|
|
setStatus('request', 'done', 'success')
|
|
|
|
task.isProcessing = false
|
|
task['stopTask'].innerHTML = '<i class="fa-solid fa-trash-can"></i> Remove'
|
|
task['taskStatusLabel'].style.display = 'none'
|
|
|
|
let time = Date.now() - task.startTime
|
|
time /= 1000
|
|
|
|
if (task.batchesDone == task.batchCount) {
|
|
task.outputMsg.innerText = `Processed ${task.numOutputsTotal} images in ${time} seconds`
|
|
task.progressBar.style.height = "0px"
|
|
task.progressBar.style.border = "0px solid var(--background-color3)"
|
|
task.progressBar.classList.remove("active")
|
|
setStatus('request', 'done', 'success')
|
|
} else {
|
|
task.outputMsg.innerText += `Task ended after ${time} seconds`
|
|
}
|
|
|
|
if (randomSeedField.checked) {
|
|
seedField.value = task.seed
|
|
}
|
|
|
|
if (SD.activeTasks.size > 0) {
|
|
return
|
|
}
|
|
const uncompletedTasks = getUncompletedTaskEntries()
|
|
if (uncompletedTasks && uncompletedTasks.length > 0) {
|
|
return
|
|
}
|
|
|
|
stopImageBtn.style.display = 'none'
|
|
renameMakeImageButton()
|
|
|
|
if (isSoundEnabled()) {
|
|
playSound()
|
|
}
|
|
}
|
|
|
|
|
|
function onTaskStart(task) {
|
|
if (!task.isProcessing || task.batchesDone >= task.batchCount) {
|
|
return
|
|
}
|
|
|
|
if (typeof task.startTime !== 'number') {
|
|
task.startTime = Date.now()
|
|
}
|
|
if (!('instances' in task)) {
|
|
task['instances'] = []
|
|
}
|
|
|
|
task['stopTask'].innerHTML = '<i class="fa-solid fa-circle-stop"></i> Stop'
|
|
task['taskStatusLabel'].innerText = "Starting"
|
|
task['taskStatusLabel'].classList.add('waitingTaskLabel')
|
|
|
|
let newTaskReqBody = task.reqBody
|
|
if (task.batchCount > 1) {
|
|
// Each output render batch needs it's own task reqBody instance to avoid altering the other runs after they are completed.
|
|
newTaskReqBody = Object.assign({}, task.reqBody)
|
|
}
|
|
|
|
const startSeed = task.seed || newTaskReqBody.seed
|
|
const genSeeds = Boolean(typeof newTaskReqBody.seed !== 'number' || (newTaskReqBody.seed === task.seed && task.numOutputsTotal > 1))
|
|
if (genSeeds) {
|
|
newTaskReqBody.seed = parseInt(startSeed) + (task.batchesDone * newTaskReqBody.num_outputs)
|
|
}
|
|
|
|
// Update the seed *before* starting the processing so it's retained if user stops the task
|
|
if (randomSeedField.checked) {
|
|
seedField.value = task.seed
|
|
}
|
|
|
|
const outputContainer = document.createElement('div')
|
|
outputContainer.className = 'img-batch'
|
|
task.outputContainer.insertBefore(outputContainer, task.outputContainer.firstChild)
|
|
|
|
const eventInfo = {reqBody:newTaskReqBody}
|
|
PLUGINS['TASK_CREATE'].forEach((hook) => {
|
|
if (typeof hook !== 'function') {
|
|
console.error('The provided TASK_CREATE hook is not a function. Hook: %o', hook)
|
|
return
|
|
}
|
|
try {
|
|
hook.call(task, eventInfo)
|
|
} catch (err) {
|
|
console.error(err)
|
|
}
|
|
})
|
|
let instance = eventInfo.instance
|
|
if (!instance) {
|
|
const factory = PLUGINS.OUTPUTS_FORMATS.get(eventInfo.reqBody?.output_format || newTaskReqBody.output_format)
|
|
if (factory) {
|
|
instance = factory(eventInfo.reqBody || newTaskReqBody)
|
|
}
|
|
if (!instance) {
|
|
console.error(`${factory ? "Factory " + String(factory) : 'No factory defined'} for output format ${eventInfo.reqBody?.output_format || newTaskReqBody.output_format}. Instance is ${instance || 'undefined'}. Using default renderer.`)
|
|
instance = new SD.RenderTask(eventInfo.reqBody || newTaskReqBody)
|
|
}
|
|
}
|
|
|
|
task['instances'].push(instance)
|
|
task.batchesDone++
|
|
|
|
instance.enqueue(getTaskUpdater(task, newTaskReqBody, outputContainer)).then(
|
|
(renderResult) => {
|
|
onTaskCompleted(task, newTaskReqBody, instance, outputContainer, renderResult)
|
|
},
|
|
(reason) => {
|
|
onTaskErrorHandler(task, newTaskReqBody, instance, reason)
|
|
}
|
|
)
|
|
|
|
setStatus('request', 'fetching..')
|
|
stopImageBtn.style.display = 'block'
|
|
renameMakeImageButton()
|
|
previewTools.style.display = 'block'
|
|
}
|
|
|
|
function createTask(task) {
|
|
let taskConfig = `<b>Seed:</b> ${task.seed}, <b>Sampler:</b> ${task.reqBody.sampler}, <b>Inference Steps:</b> ${task.reqBody.num_inference_steps}, <b>Guidance Scale:</b> ${task.reqBody.guidance_scale}, <b>Model:</b> ${task.reqBody.use_stable_diffusion_model}`
|
|
if (task.reqBody.use_vae_model.trim() !== '') {
|
|
taskConfig += `, <b>VAE:</b> ${task.reqBody.use_vae_model}`
|
|
}
|
|
if (task.reqBody.negative_prompt.trim() !== '') {
|
|
taskConfig += `, <b>Negative Prompt:</b> ${task.reqBody.negative_prompt}`
|
|
}
|
|
if (task.reqBody.init_image !== undefined) {
|
|
taskConfig += `, <b>Prompt Strength:</b> ${task.reqBody.prompt_strength}`
|
|
}
|
|
if (task.reqBody.use_face_correction) {
|
|
taskConfig += `, <b>Fix Faces:</b> ${task.reqBody.use_face_correction}`
|
|
}
|
|
if (task.reqBody.use_upscale) {
|
|
taskConfig += `, <b>Upscale:</b> ${task.reqBody.use_upscale}`
|
|
}
|
|
if (task.reqBody.use_hypernetwork_model) {
|
|
taskConfig += `, <b>Hypernetwork:</b> ${task.reqBody.use_hypernetwork_model}`
|
|
taskConfig += `, <b>Hypernetwork Strength:</b> ${task.reqBody.hypernetwork_strength}`
|
|
}
|
|
if (task.reqBody.apply_color_correction) {
|
|
taskConfig += `, <b>Color Correction:</b> true`
|
|
}
|
|
|
|
let taskEntry = document.createElement('div')
|
|
taskEntry.id = `imageTaskContainer-${Date.now()}`
|
|
taskEntry.className = 'imageTaskContainer'
|
|
taskEntry.innerHTML = ` <div class="header-content panel collapsible active">
|
|
<div class="taskStatusLabel">Enqueued</div>
|
|
<button class="secondaryButton stopTask"><i class="fa-solid fa-trash-can"></i> Remove</button>
|
|
<button class="secondaryButton useSettings"><i class="fa-solid fa-redo"></i> Use these settings</button>
|
|
<div class="preview-prompt collapsible active"></div>
|
|
<div class="taskConfig">${taskConfig}</div>
|
|
<div class="outputMsg"></div>
|
|
<div class="progress-bar active"><div></div></div>
|
|
</div>
|
|
<div class="collapsible-content">
|
|
<div class="img-preview">
|
|
</div>`
|
|
|
|
createCollapsibles(taskEntry)
|
|
|
|
task['taskStatusLabel'] = taskEntry.querySelector('.taskStatusLabel')
|
|
task['outputContainer'] = taskEntry.querySelector('.img-preview')
|
|
task['outputMsg'] = taskEntry.querySelector('.outputMsg')
|
|
task['previewPrompt'] = taskEntry.querySelector('.preview-prompt')
|
|
task['progressBar'] = taskEntry.querySelector('.progress-bar')
|
|
task['stopTask'] = taskEntry.querySelector('.stopTask')
|
|
|
|
task['stopTask'].addEventListener('click', (e) => {
|
|
let question = (task['isProcessing'] ? "Stop this task?" : "Remove this task?")
|
|
shiftOrConfirm(e, question, async function(e) {
|
|
if (task.batchesDone <= 0 || !task.isProcessing) {
|
|
taskEntry.remove()
|
|
}
|
|
abortTask(task)
|
|
})
|
|
})
|
|
|
|
task['useSettings'] = taskEntry.querySelector('.useSettings')
|
|
task['useSettings'].addEventListener('click', function(e) {
|
|
e.stopPropagation()
|
|
restoreTaskToUI(task, TASK_REQ_NO_EXPORT)
|
|
})
|
|
|
|
task.isProcessing = true
|
|
taskEntry = imagePreview.insertBefore(taskEntry, previewTools.nextSibling)
|
|
taskEntry.draggable = true
|
|
htmlTaskMap.set(taskEntry, task)
|
|
taskEntry.addEventListener('dragstart', function(ev) {
|
|
ev.dataTransfer.setData("text/plain", ev.target.id);
|
|
})
|
|
|
|
task.previewPrompt.innerText = task.reqBody.prompt
|
|
if (task.previewPrompt.innerText.trim() === '') {
|
|
task.previewPrompt.innerHTML = ' ' // allows the results to be collapsed
|
|
}
|
|
|
|
// Allow prompt text to be selected.
|
|
task.previewPrompt.addEventListener("mouseover", function() {
|
|
taskEntry.setAttribute("draggable", "false");
|
|
});
|
|
task.previewPrompt.addEventListener("mouseout", function() {
|
|
taskEntry.setAttribute("draggable", "true");
|
|
});
|
|
}
|
|
|
|
function getCurrentUserRequest() {
|
|
const numOutputsTotal = parseInt(numOutputsTotalField.value)
|
|
const numOutputsParallel = parseInt(numOutputsParallelField.value)
|
|
const seed = (randomSeedField.checked ? Math.floor(Math.random() * 10000000) : parseInt(seedField.value))
|
|
|
|
const newTask = {
|
|
batchesDone: 0,
|
|
numOutputsTotal: numOutputsTotal,
|
|
batchCount: Math.ceil(numOutputsTotal / numOutputsParallel),
|
|
seed,
|
|
|
|
reqBody: {
|
|
seed,
|
|
negative_prompt: negativePromptField.value.trim(),
|
|
num_outputs: numOutputsParallel,
|
|
num_inference_steps: parseInt(numInferenceStepsField.value),
|
|
guidance_scale: parseFloat(guidanceScaleField.value),
|
|
width: parseInt(widthField.value),
|
|
height: parseInt(heightField.value),
|
|
// allow_nsfw: allowNSFWField.checked,
|
|
turbo: turboField.checked,
|
|
//render_device: undefined, // Set device affinity. Prefer this device, but wont activate.
|
|
use_full_precision: useFullPrecisionField.checked,
|
|
use_stable_diffusion_model: stableDiffusionModelField.value,
|
|
use_vae_model: vaeModelField.value,
|
|
stream_progress_updates: true,
|
|
stream_image_progress: (numOutputsTotal > 50 ? false : streamImageProgressField.checked),
|
|
show_only_filtered_image: showOnlyFilteredImageField.checked,
|
|
output_format: outputFormatField.value,
|
|
output_quality: parseInt(outputQualityField.value),
|
|
original_prompt: promptField.value,
|
|
active_tags: (activeTags.map(x => x.name))
|
|
}
|
|
}
|
|
if (IMAGE_REGEX.test(initImagePreview.src)) {
|
|
newTask.reqBody.init_image = initImagePreview.src
|
|
newTask.reqBody.prompt_strength = parseFloat(promptStrengthField.value)
|
|
|
|
// if (IMAGE_REGEX.test(maskImagePreview.src)) {
|
|
// newTask.reqBody.mask = maskImagePreview.src
|
|
// }
|
|
if (maskSetting.checked) {
|
|
newTask.reqBody.mask = imageInpainter.getImg()
|
|
}
|
|
newTask.reqBody.apply_color_correction = applyColorCorrectionField.checked
|
|
newTask.reqBody.sampler = 'ddim'
|
|
} else {
|
|
newTask.reqBody.sampler = samplerField.value
|
|
}
|
|
if (saveToDiskField.checked && diskPathField.value.trim() !== '') {
|
|
newTask.reqBody.save_to_disk_path = diskPathField.value.trim()
|
|
}
|
|
if (useFaceCorrectionField.checked) {
|
|
newTask.reqBody.use_face_correction = 'GFPGANv1.3'
|
|
}
|
|
if (useUpscalingField.checked) {
|
|
newTask.reqBody.use_upscale = upscaleModelField.value
|
|
}
|
|
if (hypernetworkModelField.value) {
|
|
newTask.reqBody.use_hypernetwork_model = hypernetworkModelField.value
|
|
newTask.reqBody.hypernetwork_strength = parseFloat(hypernetworkStrengthField.value)
|
|
}
|
|
return newTask
|
|
}
|
|
|
|
function getPrompts(prompts) {
|
|
if (typeof prompts === 'undefined') {
|
|
prompts = promptField.value
|
|
}
|
|
if (prompts.trim() === '') {
|
|
return ['']
|
|
}
|
|
|
|
prompts = prompts.split('\n')
|
|
prompts = prompts.map(prompt => prompt.trim())
|
|
prompts = prompts.filter(prompt => prompt !== '')
|
|
|
|
const newTags = activeTags.filter(tag => tag.inactive === undefined || tag.inactive === false)
|
|
if (newTags.length > 0) {
|
|
const promptTags = newTags.map(x => x.name).join(", ")
|
|
prompts = prompts.map((prompt) => `${prompt}, ${promptTags}`)
|
|
}
|
|
|
|
let promptsToMake = applySetOperator(prompts)
|
|
promptsToMake = applyPermuteOperator(promptsToMake)
|
|
|
|
return promptsToMake
|
|
}
|
|
|
|
function applySetOperator(prompts) {
|
|
let promptsToMake = []
|
|
let braceExpander = new BraceExpander()
|
|
prompts.forEach(prompt => {
|
|
let expandedPrompts = braceExpander.expand(prompt)
|
|
promptsToMake = promptsToMake.concat(expandedPrompts)
|
|
})
|
|
|
|
return promptsToMake
|
|
}
|
|
|
|
function applyPermuteOperator(prompts) {
|
|
let promptsToMake = []
|
|
prompts.forEach(prompt => {
|
|
let promptMatrix = prompt.split('|')
|
|
prompt = promptMatrix.shift().trim()
|
|
promptsToMake.push(prompt)
|
|
|
|
promptMatrix = promptMatrix.map(p => p.trim())
|
|
promptMatrix = promptMatrix.filter(p => p !== '')
|
|
|
|
if (promptMatrix.length > 0) {
|
|
let promptPermutations = permutePrompts(prompt, promptMatrix)
|
|
promptsToMake = promptsToMake.concat(promptPermutations)
|
|
}
|
|
})
|
|
|
|
return promptsToMake
|
|
}
|
|
|
|
function permutePrompts(promptBase, promptMatrix) {
|
|
let prompts = []
|
|
let permutations = permute(promptMatrix)
|
|
permutations.forEach(perm => {
|
|
let prompt = promptBase
|
|
|
|
if (perm.length > 0) {
|
|
let promptAddition = perm.join(', ')
|
|
if (promptAddition.trim() === '') {
|
|
return
|
|
}
|
|
|
|
prompt += ', ' + promptAddition
|
|
}
|
|
|
|
prompts.push(prompt)
|
|
})
|
|
|
|
return prompts
|
|
}
|
|
|
|
// create a file name with embedded prompt and metadata
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// for easier cateloging and comparison
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function createFileName(prompt, seed, steps, guidance, outputFormat) {
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|
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// Most important information is the prompt
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let underscoreName = prompt.replace(/[^a-zA-Z0-9]/g, '_')
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underscoreName = underscoreName.substring(0, 100)
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//const steps = numInferenceStepsField.value
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//const guidance = guidanceScaleField.value
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|
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// name and the top level metadata
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let fileName = `${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}`
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// add the tags
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// let tags = []
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// let tagString = ''
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// document.querySelectorAll(modifyTagsSelector).forEach(function(tag) {
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// tags.push(tag.innerHTML)
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// })
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// join the tags with a pipe
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|
// if (activeTags.length > 0) {
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// tagString = '_Tags-'
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// tagString += tags.join('|')
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// }
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// // append empty or populated tags
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// fileName += `${tagString}`
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// add the file extension
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fileName += '.' + (outputFormat === 'png' ? 'png' : 'jpeg')
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return fileName
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}
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|
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async function stopAllTasks() {
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|
getUncompletedTaskEntries().forEach((taskEntry) => {
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const taskStatusLabel = taskEntry.querySelector('.taskStatusLabel')
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if (taskStatusLabel) {
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taskStatusLabel.style.display = 'none'
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}
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const task = htmlTaskMap.get(taskEntry)
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if (!task) {
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return
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}
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abortTask(task)
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})
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}
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function removeTask(taskToRemove) {
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taskToRemove.remove()
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|
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if (document.querySelector('.imageTaskContainer') === null) {
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previewTools.style.display = 'none'
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initialText.style.display = 'block'
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}
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}
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|
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clearAllPreviewsBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Clear all the results and tasks in this window?", async function() {
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await stopAllTasks()
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let taskEntries = document.querySelectorAll('.imageTaskContainer')
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taskEntries.forEach(removeTask)
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})})
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stopImageBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Stop all the tasks?", async function(e) {
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await stopAllTasks()
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})})
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widthField.addEventListener('change', onDimensionChange)
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heightField.addEventListener('change', onDimensionChange)
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|
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function renameMakeImageButton() {
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let totalImages = Math.max(parseInt(numOutputsTotalField.value), parseInt(numOutputsParallelField.value))
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let imageLabel = 'Image'
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if (totalImages > 1) {
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imageLabel = totalImages + ' Images'
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}
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if (SD.activeTasks.size == 0) {
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makeImageBtn.innerText = 'Make ' + imageLabel
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} else {
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makeImageBtn.innerText = 'Enqueue Next ' + imageLabel
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}
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}
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numOutputsTotalField.addEventListener('change', renameMakeImageButton)
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numOutputsParallelField.addEventListener('change', renameMakeImageButton)
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function onDimensionChange() {
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let widthValue = parseInt(widthField.value)
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let heightValue = parseInt(heightField.value)
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if (!initImagePreviewContainer.classList.contains("has-image")) {
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imageEditor.setImage(null, widthValue, heightValue)
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}
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else {
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imageInpainter.setImage(initImagePreview.src, widthValue, heightValue)
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}
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}
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diskPathField.disabled = !saveToDiskField.checked
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|
|
|
upscaleModelField.disabled = !useUpscalingField.checked
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|
useUpscalingField.addEventListener('change', function(e) {
|
|
upscaleModelField.disabled = !this.checked
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|
})
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|
|
|
makeImageBtn.addEventListener('click', makeImage)
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|
|
|
document.onkeydown = function(e) {
|
|
if (e.ctrlKey && e.code === 'Enter') {
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|
makeImage()
|
|
e.preventDefault()
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|
}
|
|
}
|
|
|
|
/********************* Guidance **************************/
|
|
function updateGuidanceScale() {
|
|
guidanceScaleField.value = guidanceScaleSlider.value / 10
|
|
guidanceScaleField.dispatchEvent(new Event("change"))
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|
}
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|
|
|
function updateGuidanceScaleSlider() {
|
|
if (guidanceScaleField.value < 0) {
|
|
guidanceScaleField.value = 0
|
|
} else if (guidanceScaleField.value > 50) {
|
|
guidanceScaleField.value = 50
|
|
}
|
|
|
|
guidanceScaleSlider.value = guidanceScaleField.value * 10
|
|
guidanceScaleSlider.dispatchEvent(new Event("change"))
|
|
}
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|
|
|
guidanceScaleSlider.addEventListener('input', updateGuidanceScale)
|
|
guidanceScaleField.addEventListener('input', updateGuidanceScaleSlider)
|
|
updateGuidanceScale()
|
|
|
|
/********************* Prompt Strength *******************/
|
|
function updatePromptStrength() {
|
|
promptStrengthField.value = promptStrengthSlider.value / 100
|
|
promptStrengthField.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
function updatePromptStrengthSlider() {
|
|
if (promptStrengthField.value < 0) {
|
|
promptStrengthField.value = 0
|
|
} else if (promptStrengthField.value > 0.99) {
|
|
promptStrengthField.value = 0.99
|
|
}
|
|
|
|
promptStrengthSlider.value = promptStrengthField.value * 100
|
|
promptStrengthSlider.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
promptStrengthSlider.addEventListener('input', updatePromptStrength)
|
|
promptStrengthField.addEventListener('input', updatePromptStrengthSlider)
|
|
updatePromptStrength()
|
|
|
|
/********************* Hypernetwork Strength **********************/
|
|
function updateHypernetworkStrength() {
|
|
hypernetworkStrengthField.value = hypernetworkStrengthSlider.value / 100
|
|
hypernetworkStrengthField.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
function updateHypernetworkStrengthSlider() {
|
|
if (hypernetworkStrengthField.value < 0) {
|
|
hypernetworkStrengthField.value = 0
|
|
} else if (hypernetworkStrengthField.value > 0.99) {
|
|
hypernetworkStrengthField.value = 0.99
|
|
}
|
|
|
|
hypernetworkStrengthSlider.value = hypernetworkStrengthField.value * 100
|
|
hypernetworkStrengthSlider.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
hypernetworkStrengthSlider.addEventListener('input', updateHypernetworkStrength)
|
|
hypernetworkStrengthField.addEventListener('input', updateHypernetworkStrengthSlider)
|
|
updateHypernetworkStrength()
|
|
|
|
/********************* JPEG Quality **********************/
|
|
function updateOutputQuality() {
|
|
outputQualityField.value = 0 | outputQualitySlider.value
|
|
outputQualityField.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
function updateOutputQualitySlider() {
|
|
if (outputQualityField.value < 10) {
|
|
outputQualityField.value = 10
|
|
} else if (outputQualityField.value > 95) {
|
|
outputQualityField.value = 95
|
|
}
|
|
|
|
outputQualitySlider.value = 0 | outputQualityField.value
|
|
outputQualitySlider.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
outputQualitySlider.addEventListener('input', updateOutputQuality)
|
|
outputQualityField.addEventListener('input', debounce(updateOutputQualitySlider, 1500))
|
|
updateOutputQuality()
|
|
|
|
outputFormatField.addEventListener('change', e => {
|
|
if (outputFormatField.value == 'jpeg') {
|
|
outputQualityRow.style.display='table-row'
|
|
} else {
|
|
outputQualityRow.style.display='none'
|
|
}
|
|
})
|
|
|
|
async function getModels() {
|
|
try {
|
|
const sd_model_setting_key = "stable_diffusion_model"
|
|
const vae_model_setting_key = "vae_model"
|
|
const hypernetwork_model_key = "hypernetwork_model"
|
|
const selectedSDModel = SETTINGS[sd_model_setting_key].value
|
|
const selectedVaeModel = SETTINGS[vae_model_setting_key].value
|
|
const selectedHypernetworkModel = SETTINGS[hypernetwork_model_key].value
|
|
|
|
const models = await SD.getModels()
|
|
const modelsOptions = models['options']
|
|
if ("scan-error" in models) {
|
|
// let previewPane = document.getElementById('tab-content-wrapper')
|
|
let previewPane = document.getElementById('preview')
|
|
previewPane.style.background="red"
|
|
previewPane.style.textAlign="center"
|
|
previewPane.innerHTML = '<H1>🔥Malware alert!🔥</H1><h2>The file <i>' + models['scan-error'] + '</i> in your <tt>models/stable-diffusion</tt> folder is probably malware infected.</h2><h2>Please delete this file from the folder before proceeding!</h2>After deleting the file, reload this page.<br><br><button onClick="window.location.reload();">Reload Page</button>'
|
|
makeImageBtn.disabled = true
|
|
}
|
|
|
|
const stableDiffusionOptions = modelsOptions['stable-diffusion']
|
|
const vaeOptions = modelsOptions['vae']
|
|
const hypernetworkOptions = modelsOptions['hypernetwork']
|
|
|
|
vaeOptions.unshift('') // add a None option
|
|
hypernetworkOptions.unshift('') // add a None option
|
|
|
|
function createModelOptions(modelField, selectedModel) {
|
|
return function(modelName) {
|
|
const modelOption = document.createElement('option')
|
|
modelOption.value = modelName
|
|
modelOption.innerText = modelName !== '' ? modelName : 'None'
|
|
|
|
if (modelName === selectedModel) {
|
|
modelOption.selected = true
|
|
}
|
|
|
|
modelField.appendChild(modelOption)
|
|
}
|
|
}
|
|
|
|
stableDiffusionOptions.forEach(createModelOptions(stableDiffusionModelField, selectedSDModel))
|
|
vaeOptions.forEach(createModelOptions(vaeModelField, selectedVaeModel))
|
|
hypernetworkOptions.forEach(createModelOptions(hypernetworkModelField, selectedHypernetworkModel))
|
|
|
|
// TODO: set default for model here too
|
|
SETTINGS[sd_model_setting_key].default = stableDiffusionOptions[0]
|
|
if (getSetting(sd_model_setting_key) == '' || SETTINGS[sd_model_setting_key].value == '') {
|
|
setSetting(sd_model_setting_key, stableDiffusionOptions[0])
|
|
}
|
|
} catch (e) {
|
|
console.log('get models error', e)
|
|
}
|
|
}
|
|
|
|
function checkRandomSeed() {
|
|
if (randomSeedField.checked) {
|
|
seedField.disabled = true
|
|
//seedField.value = "0" // This causes the seed to be lost if the user changes their mind after toggling the checkbox
|
|
} else {
|
|
seedField.disabled = false
|
|
}
|
|
}
|
|
randomSeedField.addEventListener('input', checkRandomSeed)
|
|
checkRandomSeed()
|
|
|
|
function loadImg2ImgFromFile() {
|
|
if (initImageSelector.files.length === 0) {
|
|
return
|
|
}
|
|
|
|
let reader = new FileReader()
|
|
let file = initImageSelector.files[0]
|
|
|
|
reader.addEventListener('load', function(event) {
|
|
initImagePreview.src = reader.result
|
|
})
|
|
|
|
if (file) {
|
|
reader.readAsDataURL(file)
|
|
}
|
|
}
|
|
initImageSelector.addEventListener('change', loadImg2ImgFromFile)
|
|
loadImg2ImgFromFile()
|
|
|
|
function img2imgLoad() {
|
|
promptStrengthContainer.style.display = 'table-row'
|
|
samplerSelectionContainer.style.display = "none"
|
|
initImagePreviewContainer.classList.add("has-image")
|
|
colorCorrectionSetting.style.display = ''
|
|
|
|
initImageSizeBox.textContent = initImagePreview.naturalWidth + " x " + initImagePreview.naturalHeight
|
|
imageEditor.setImage(this.src, initImagePreview.naturalWidth, initImagePreview.naturalHeight)
|
|
imageInpainter.setImage(this.src, parseInt(widthField.value), parseInt(heightField.value))
|
|
}
|
|
|
|
function img2imgUnload() {
|
|
initImageSelector.value = null
|
|
initImagePreview.src = ''
|
|
maskSetting.checked = false
|
|
|
|
promptStrengthContainer.style.display = "none"
|
|
samplerSelectionContainer.style.display = ""
|
|
initImagePreviewContainer.classList.remove("has-image")
|
|
colorCorrectionSetting.style.display = 'none'
|
|
imageEditor.setImage(null, parseInt(widthField.value), parseInt(heightField.value))
|
|
|
|
}
|
|
initImagePreview.addEventListener('load', img2imgLoad)
|
|
initImageClearBtn.addEventListener('click', img2imgUnload)
|
|
|
|
maskSetting.addEventListener('click', function() {
|
|
onDimensionChange()
|
|
})
|
|
|
|
promptsFromFileBtn.addEventListener('click', function() {
|
|
promptsFromFileSelector.click()
|
|
})
|
|
|
|
promptsFromFileSelector.addEventListener('change', function() {
|
|
if (promptsFromFileSelector.files.length === 0) {
|
|
return
|
|
}
|
|
|
|
let reader = new FileReader()
|
|
let file = promptsFromFileSelector.files[0]
|
|
|
|
reader.addEventListener('load', function() {
|
|
promptField.value = reader.result
|
|
})
|
|
|
|
if (file) {
|
|
reader.readAsText(file)
|
|
}
|
|
})
|
|
|
|
/* setup popup handlers */
|
|
document.querySelectorAll('.popup').forEach(popup => {
|
|
popup.addEventListener('click', event => {
|
|
if (event.target == popup) {
|
|
popup.classList.remove("active")
|
|
}
|
|
})
|
|
var closeButton = popup.querySelector(".close-button")
|
|
if (closeButton) {
|
|
closeButton.addEventListener('click', () => {
|
|
popup.classList.remove("active")
|
|
})
|
|
}
|
|
})
|
|
|
|
var tabElements = []
|
|
function selectTab(tab_id) {
|
|
let tabInfo = tabElements.find(t => t.tab.id == tab_id)
|
|
if (!tabInfo.tab.classList.contains("active")) {
|
|
tabElements.forEach(info => {
|
|
if (info.tab.classList.contains("active")) {
|
|
info.tab.classList.toggle("active")
|
|
info.content.classList.toggle("active")
|
|
}
|
|
})
|
|
tabInfo.tab.classList.toggle("active")
|
|
tabInfo.content.classList.toggle("active")
|
|
}
|
|
}
|
|
function linkTabContents(tab) {
|
|
var name = tab.id.replace("tab-", "")
|
|
var content = document.getElementById(`tab-content-${name}`)
|
|
tabElements.push({
|
|
name: name,
|
|
tab: tab,
|
|
content: content
|
|
})
|
|
|
|
tab.addEventListener("click", event => selectTab(tab.id))
|
|
}
|
|
|
|
document.querySelectorAll(".tab").forEach(linkTabContents)
|
|
|
|
window.addEventListener("beforeunload", function(e) {
|
|
const msg = "Unsaved pictures will be lost!";
|
|
|
|
let elementList = document.getElementsByClassName("imageTaskContainer");
|
|
if (elementList.length != 0) {
|
|
e.preventDefault();
|
|
(e || window.event).returnValue = msg;
|
|
return msg;
|
|
} else {
|
|
return true;
|
|
}
|
|
});
|
|
|
|
createCollapsibles()
|
|
prettifyInputs(document);
|