"use strict" // Opt in to a restricted variant of JavaScript const MAX_INIT_IMAGE_DIMENSION = 768 const MIN_GPUS_TO_SHOW_SELECTION = 2 const IMAGE_REGEX = new RegExp('data:image/[A-Za-z]+;base64') const htmlTaskMap = new WeakMap() let promptField = document.querySelector('#prompt') let promptsFromFileSelector = document.querySelector('#prompt_from_file') let promptsFromFileBtn = document.querySelector('#promptsFromFileBtn') let negativePromptField = document.querySelector('#negative_prompt') let numOutputsTotalField = document.querySelector('#num_outputs_total') let numOutputsParallelField = document.querySelector('#num_outputs_parallel') let numInferenceStepsField = document.querySelector('#num_inference_steps') let guidanceScaleSlider = document.querySelector('#guidance_scale_slider') let guidanceScaleField = document.querySelector('#guidance_scale') let outputQualitySlider = document.querySelector('#output_quality_slider') let outputQualityField = document.querySelector('#output_quality') let outputQualityRow = document.querySelector('#output_quality_row') let randomSeedField = document.querySelector("#random_seed") let seedField = document.querySelector('#seed') let widthField = document.querySelector('#width') let heightField = document.querySelector('#height') let initImageSelector = document.querySelector("#init_image") let initImagePreview = document.querySelector("#init_image_preview") let initImageSizeBox = document.querySelector("#init_image_size_box") let maskImageSelector = document.querySelector("#mask") let maskImagePreview = document.querySelector("#mask_preview") let promptStrengthSlider = document.querySelector('#prompt_strength_slider') let promptStrengthField = document.querySelector('#prompt_strength') let samplerField = document.querySelector('#sampler') let samplerSelectionContainer = document.querySelector("#samplerSelection") let useFaceCorrectionField = document.querySelector("#use_face_correction") let useUpscalingField = document.querySelector("#use_upscale") let upscaleModelField = document.querySelector("#upscale_model") let stableDiffusionModelField = document.querySelector('#stable_diffusion_model') let vaeModelField = document.querySelector('#vae_model') let hypernetworkModelField = document.querySelector('#hypernetwork_model') let hypernetworkStrengthSlider = document.querySelector('#hypernetwork_strength_slider') let hypernetworkStrengthField = document.querySelector('#hypernetwork_strength') let outputFormatField = document.querySelector('#output_format') let showOnlyFilteredImageField = document.querySelector("#show_only_filtered_image") let updateBranchLabel = document.querySelector("#updateBranchLabel") let streamImageProgressField = document.querySelector("#stream_image_progress") let makeImageBtn = document.querySelector('#makeImage') let stopImageBtn = document.querySelector('#stopImage') let imagesContainer = document.querySelector('#current-images') let initImagePreviewContainer = document.querySelector('#init_image_preview_container') let initImageClearBtn = document.querySelector('.init_image_clear') let promptStrengthContainer = document.querySelector('#prompt_strength_container') let initialText = document.querySelector("#initial-text") let previewTools = document.querySelector("#preview-tools") let clearAllPreviewsBtn = document.querySelector("#clear-all-previews") let maskSetting = document.querySelector('#enable_mask') const processOrder = document.querySelector('#process_order_toggle') let imagePreview = document.querySelector("#preview") imagePreview.addEventListener('drop', function(ev) { const data = ev.dataTransfer?.getData("text/plain"); if (!data) { return } const movedTask = document.getElementById(data) if (!movedTask) { return } ev.preventDefault() let moveTarget = ev.target while (moveTarget && typeof moveTarget === 'object' && moveTarget.parentNode !== imagePreview) { moveTarget = moveTarget.parentNode } if (moveTarget === initialText || moveTarget === previewTools) { moveTarget = null } if (moveTarget === movedTask) { return } if (moveTarget) { const childs = Array.from(imagePreview.children) if (moveTarget.nextSibling && childs.indexOf(movedTask) < childs.indexOf(moveTarget)) { // Move after the target if lower than current position. moveTarget = moveTarget.nextSibling } } const newNode = imagePreview.insertBefore(movedTask, moveTarget || previewTools.nextSibling) if (newNode === movedTask) { return } imagePreview.removeChild(movedTask) const task = htmlTaskMap.get(movedTask) if (task) { htmlTaskMap.delete(movedTask) } if (task) { htmlTaskMap.set(newNode, task) } }) let showConfigToggle = document.querySelector('#configToggleBtn') // let configBox = document.querySelector('#config') // let outputMsg = document.querySelector('#outputMsg') let soundToggle = document.querySelector('#sound_toggle') let serverStatusColor = document.querySelector('#server-status-color') let serverStatusMsg = document.querySelector('#server-status-msg') function getLocalStorageBoolItem(key, fallback) { let item = localStorage.getItem(key) if (item === null) { return fallback } return (item === 'true' ? true : false) } function handleBoolSettingChange(key) { return function(e) { localStorage.setItem(key, e.target.checked.toString()) } } function handleStringSettingChange(key) { return function(e) { localStorage.setItem(key, e.target.value.toString()) } } function isSoundEnabled() { return getSetting("sound_toggle") } function getSavedDiskPath() { return getSetting("diskPath") } function setStatus(statusType, msg, msgType) { } function setServerStatus(event) { switch(event.type) { case 'online': serverStatusColor.style.color = 'green' serverStatusMsg.style.color = 'green' serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message break case 'busy': serverStatusColor.style.color = 'rgb(200, 139, 0)' serverStatusMsg.style.color = 'rgb(200, 139, 0)' serverStatusMsg.innerText = 'Stable Diffusion is ' + event.message break case 'error': serverStatusColor.style.color = 'red' serverStatusMsg.style.color = 'red' serverStatusMsg.innerText = 'Stable Diffusion has stopped' break } if (SD.serverState.devices) { setDeviceInfo(SD.serverState.devices) } } // shiftOrConfirm(e, prompt, fn) // e : MouseEvent // prompt : Text to be shown as prompt. Should be a question to which "yes" is a good answer. // fn : function to be called if the user confirms the dialog or has the shift key pressed // // If the user had the shift key pressed while clicking, the function fn will be executed. // If the setting "confirm_dangerous_actions" in the system settings is disabled, the function // fn will be executed. // Otherwise, a confirmation dialog is shown. If the user confirms, the function fn will also // be executed. function shiftOrConfirm(e, prompt, fn) { e.stopPropagation() if (e.shiftKey || !confirmDangerousActionsField.checked) { fn(e) } else { $.confirm({ theme: 'modern', title: prompt, useBootstrap: false, animateFromElement: false, content: 'Tip: To skip this dialog, use shift-click or disable the "Confirm dangerous actions" setting in the Settings tab.', buttons: { yes: () => { fn(e) }, cancel: () => {} } }); } } function logMsg(msg, level, outputMsg) { if (outputMsg.hasChildNodes()) { outputMsg.appendChild(document.createElement('br')) } if (level === 'error') { outputMsg.innerHTML += 'Error: ' + msg + '' } else if (level === 'warn') { outputMsg.innerHTML += 'Warning: ' + msg + '' } else { outputMsg.innerText += msg } console.log(level, msg) } function logError(msg, res, outputMsg) { logMsg(msg, 'error', outputMsg) console.log('request error', res) setStatus('request', 'error', 'error') } function playSound() { const audio = new Audio('/media/ding.mp3') audio.volume = 0.2 var promise = audio.play() if (promise !== undefined) { promise.then(_ => {}).catch(error => { console.warn("browser blocked autoplay") }) } } function showImages(reqBody, res, outputContainer, livePreview) { let imageItemElements = outputContainer.querySelectorAll('.imgItem') if(typeof res != 'object') return res.output.reverse() res.output.forEach((result, index) => { const imageData = result?.data || result?.path + '?t=' + Date.now(), imageSeed = result?.seed, imagePrompt = reqBody.prompt, imageInferenceSteps = reqBody.num_inference_steps, imageGuidanceScale = reqBody.guidance_scale, imageWidth = reqBody.width, imageHeight = reqBody.height; if (!imageData.includes('/')) { // res contained no data for the image, stop execution setStatus('request', 'invalid image', 'error') return } let imageItemElem = (index < imageItemElements.length ? imageItemElements[index] : null) if(!imageItemElem) { imageItemElem = document.createElement('div') imageItemElem.className = 'imgItem' imageItemElem.innerHTML = `
` outputContainer.appendChild(imageItemElem) } const imageElem = imageItemElem.querySelector('img') imageElem.src = imageData imageElem.width = parseInt(imageWidth) imageElem.height = parseInt(imageHeight) imageElem.setAttribute('data-prompt', imagePrompt) imageElem.setAttribute('data-steps', imageInferenceSteps) imageElem.setAttribute('data-guidance', imageGuidanceScale) const imageInfo = imageItemElem.querySelector('.imgItemInfo') imageInfo.style.visibility = (livePreview ? 'hidden' : 'visible') if ('seed' in result && !imageElem.hasAttribute('data-seed')) { const req = Object.assign({}, reqBody, { seed: result?.seed || reqBody.seed }) imageElem.setAttribute('data-seed', req.seed) const imageSeedLabel = imageItemElem.querySelector('.imgSeedLabel') imageSeedLabel.innerText = 'Seed: ' + req.seed let buttons = [ { text: 'Use as Input', on_click: onUseAsInputClick }, { text: 'Download', on_click: onDownloadImageClick }, { text: 'Make Similar Images', on_click: onMakeSimilarClick }, { text: 'Draw another 25 steps', on_click: onContinueDrawingClick }, { text: 'Upscale', on_click: onUpscaleClick, filter: (req, img) => !req.use_upscale }, { text: 'Fix Faces', on_click: onFixFacesClick, filter: (req, img) => !req.use_face_correction } ] // include the plugins buttons = buttons.concat(PLUGINS['IMAGE_INFO_BUTTONS']) const imgItemInfo = imageItemElem.querySelector('.imgItemInfo') const img = imageItemElem.querySelector('img') const createButton = function(btnInfo) { const newButton = document.createElement('button') newButton.classList.add('tasksBtns') newButton.innerText = btnInfo.text newButton.addEventListener('click', function() { btnInfo.on_click(req, img) }) imgItemInfo.appendChild(newButton) } buttons.forEach(btn => { if (btn.filter && btn.filter(req, img) === false) { return } createButton(btn) }) } }) } function onUseAsInputClick(req, img) { const imgData = img.src initImageSelector.value = null initImagePreview.src = imgData maskSetting.checked = false } function onDownloadImageClick(req, img) { const imgData = img.src const imageSeed = img.getAttribute('data-seed') const imagePrompt = img.getAttribute('data-prompt') const imageInferenceSteps = img.getAttribute('data-steps') const imageGuidanceScale = img.getAttribute('data-guidance') const imgDownload = document.createElement('a') imgDownload.download = createFileName(imagePrompt, imageSeed, imageInferenceSteps, imageGuidanceScale, req['output_format']) imgDownload.href = imgData imgDownload.click() } function modifyCurrentRequest(...reqDiff) { const newTaskRequest = getCurrentUserRequest() newTaskRequest.reqBody = Object.assign(newTaskRequest.reqBody, ...reqDiff, { use_cpu: useCPUField.checked }) newTaskRequest.seed = newTaskRequest.reqBody.seed return newTaskRequest } function onMakeSimilarClick(req, img) { const newTaskRequest = modifyCurrentRequest(req, { num_outputs: 1, num_inference_steps: 50, guidance_scale: 7.5, prompt_strength: 0.7, init_image: img.src, seed: Math.floor(Math.random() * 10000000) }) newTaskRequest.numOutputsTotal = 5 newTaskRequest.batchCount = 5 delete newTaskRequest.reqBody.mask createTask(newTaskRequest) } function enqueueImageVariationTask(req, img, reqDiff) { const imageSeed = img.getAttribute('data-seed') const newRequestBody = { num_outputs: 1, // this can be user-configurable in the future seed: imageSeed } // If the user is editing pictures, stop modifyCurrentRequest from importing // new values by setting the missing properties to undefined if (!('init_image' in req) && !('init_image' in reqDiff)) { newRequestBody.init_image = undefined newRequestBody.mask = undefined } else if (!('mask' in req) && !('mask' in reqDiff)) { newRequestBody.mask = undefined } const newTaskRequest = modifyCurrentRequest(req, reqDiff, newRequestBody) newTaskRequest.numOutputsTotal = 1 // this can be user-configurable in the future newTaskRequest.batchCount = 1 createTask(newTaskRequest) } function onUpscaleClick(req, img) { enqueueImageVariationTask(req, img, { use_upscale: upscaleModelField.value }) } function onFixFacesClick(req, img) { enqueueImageVariationTask(req, img, { use_face_correction: 'GFPGANv1.3' }) } function onContinueDrawingClick(req, img) { enqueueImageVariationTask(req, img, { num_inference_steps: parseInt(req.num_inference_steps) + 25 }) } function getUncompletedTaskEntries() { const taskEntries = Array.from( document.querySelectorAll('#preview .imageTaskContainer .taskStatusLabel') ).filter((taskLabel) => taskLabel.style.display !== 'none' ).map(function(taskLabel) { let imageTaskContainer = taskLabel.parentNode while(!imageTaskContainer.classList.contains('imageTaskContainer') && imageTaskContainer.parentNode) { imageTaskContainer = imageTaskContainer.parentNode } return imageTaskContainer }) if (!processOrder.checked) { taskEntries.reverse() } return taskEntries } function makeImage() { if (!SD.isServerAvailable()) { alert('The server is not available.') return } if (!randomSeedField.checked && seedField.value == '') { alert('The "Seed" field must not be empty.') return } if (numInferenceStepsField.value == '') { alert('The "Inference Steps" field must not be empty.') return } if (numOutputsTotalField.value == '') { numOutputsTotalField.value = 1 } if (numOutputsParallelField.value == '') { numOutputsParallelField.value = 1 } if (guidanceScaleField.value == '') { guidanceScaleField.value = guidanceScaleSlider.value / 10 } const taskTemplate = getCurrentUserRequest() const newTaskRequests = getPrompts().map((prompt) => Object.assign({}, taskTemplate, { reqBody: Object.assign({ prompt: prompt }, taskTemplate.reqBody) })) newTaskRequests.forEach(createTask) initialText.style.display = 'none' } function onIdle() { for (const taskEntry of getUncompletedTaskEntries()) { if (SD.activeTasks.size >= 1) { continue } const task = htmlTaskMap.get(taskEntry) if (!task) { const taskStatusLabel = taskEntry.querySelector('.taskStatusLabel') taskStatusLabel.style.display = 'none' continue } onTaskStart(task) } } function getTaskUpdater(task, reqBody, outputContainer) { const outputMsg = task['outputMsg'] const progressBar = task['progressBar'] const progressBarInner = progressBar.querySelector("div") const batchCount = task.batchCount let lastStatus = undefined return async function(event) { if (this.status !== lastStatus) { lastStatus = this.status switch(this.status) { case SD.TaskStatus.pending: task['taskStatusLabel'].innerText = "Pending" task['taskStatusLabel'].classList.add('waitingTaskLabel') break case SD.TaskStatus.waiting: task['taskStatusLabel'].innerText = "Waiting" task['taskStatusLabel'].classList.add('waitingTaskLabel') task['taskStatusLabel'].classList.remove('activeTaskLabel') break case SD.TaskStatus.processing: case SD.TaskStatus.completed: task['taskStatusLabel'].innerText = "Processing" task['taskStatusLabel'].classList.add('activeTaskLabel') 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:
'
                        if (this.exception) {
                            msg += `Error: ${this.exception.message}
` } try { // 'Response': body stream already read msg += 'Read: ' + await event.response.text() } catch(e) { msg += 'Unexpected end of stream. ' } const bufferString = event.reader.bufferedString if (bufferString) { msg += 'Buffered data: ' + bufferString } msg += '
' logError(msg, event, outputMsg) } else { let msg = `Unexpected Read Error:
Error:${this.exception}
EventInfo: ${JSON.stringify(event, undefined, 4)}
` 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 = ' 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.

' + reason + '
' + reason.stack + '
', 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 += `

Suggestions:
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.
2. Try disabling the 'Turbo mode' under 'Advanced Settings'.
3. Try generating a smaller image.
` } } else { msg = `Unexpected Read Error:
StepUpdate: ${JSON.stringify(stepUpdate, undefined, 4)}
` } 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 = ' 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 = ' 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 = `Seed: ${task.seed}, Sampler: ${task.reqBody.sampler}, Inference Steps: ${task.reqBody.num_inference_steps}, Guidance Scale: ${task.reqBody.guidance_scale}, Model: ${task.reqBody.use_stable_diffusion_model}` if (task.reqBody.use_vae_model.trim() !== '') { taskConfig += `, VAE: ${task.reqBody.use_vae_model}` } if (task.reqBody.negative_prompt.trim() !== '') { taskConfig += `, Negative Prompt: ${task.reqBody.negative_prompt}` } if (task.reqBody.init_image !== undefined) { taskConfig += `, Prompt Strength: ${task.reqBody.prompt_strength}` } if (task.reqBody.use_face_correction) { taskConfig += `, Fix Faces: ${task.reqBody.use_face_correction}` } if (task.reqBody.use_upscale) { taskConfig += `, Upscale: ${task.reqBody.use_upscale}` } if (task.reqBody.use_hypernetwork_model) { taskConfig += `, Hypernetwork: ${task.reqBody.use_hypernetwork_model}` taskConfig += `, Hypernetwork Strength: ${task.reqBody.hypernetwork_strength}` } let taskEntry = document.createElement('div') taskEntry.id = `imageTaskContainer-${Date.now()}` taskEntry.className = 'imageTaskContainer' taskEntry.innerHTML = `
Enqueued
${taskConfig}
` 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.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 } 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}, ${promptTags}`) } let promptsToMake = applySetOperator(prompts) promptsToMake = applyPermuteOperator(promptsToMake) return promptsToMake } function applySetOperator(prompts) { let promptsToMake = [] let braceExpander = new BraceExpander() prompts.forEach(prompt => { let expandedPrompts = braceExpander.expand(prompt) promptsToMake = promptsToMake.concat(expandedPrompts) }) return promptsToMake } function applyPermuteOperator(prompts) { let promptsToMake = [] prompts.forEach(prompt => { let promptMatrix = prompt.split('|') prompt = promptMatrix.shift().trim() promptsToMake.push(prompt) promptMatrix = promptMatrix.map(p => p.trim()) promptMatrix = promptMatrix.filter(p => p !== '') if (promptMatrix.length > 0) { let promptPermutations = permutePrompts(prompt, promptMatrix) promptsToMake = promptsToMake.concat(promptPermutations) } }) return promptsToMake } function permutePrompts(promptBase, promptMatrix) { let prompts = [] let permutations = permute(promptMatrix) permutations.forEach(perm => { let prompt = promptBase if (perm.length > 0) { let promptAddition = perm.join(', ') if (promptAddition.trim() === '') { return } prompt += ', ' + promptAddition } prompts.push(prompt) }) return prompts } // create a file name with embedded prompt and metadata // for easier cateloging and comparison function createFileName(prompt, seed, steps, guidance, outputFormat) { // Most important information is the prompt let underscoreName = prompt.replace(/[^a-zA-Z0-9]/g, '_') underscoreName = underscoreName.substring(0, 100) //const steps = numInferenceStepsField.value //const guidance = guidanceScaleField.value // name and the top level metadata let fileName = `${underscoreName}_Seed-${seed}_Steps-${steps}_Guidance-${guidance}` // add the tags // let tags = [] // let tagString = '' // document.querySelectorAll(modifyTagsSelector).forEach(function(tag) { // tags.push(tag.innerHTML) // }) // join the tags with a pipe // if (activeTags.length > 0) { // tagString = '_Tags-' // tagString += tags.join('|') // } // // append empty or populated tags // fileName += `${tagString}` // add the file extension fileName += '.' + (outputFormat === 'png' ? 'png' : 'jpeg') return fileName } async function stopAllTasks() { getUncompletedTaskEntries().forEach((taskEntry) => { const taskStatusLabel = taskEntry.querySelector('.taskStatusLabel') if (taskStatusLabel) { taskStatusLabel.style.display = 'none' } const task = htmlTaskMap.get(taskEntry) if (!task) { return } abortTask(task) }) } function removeTask(taskToRemove) { taskToRemove.remove() if (document.querySelector('.imageTaskContainer') === null) { previewTools.style.display = 'none' initialText.style.display = 'block' } } clearAllPreviewsBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Clear all the results and tasks in this window?", async function() { await stopAllTasks() let taskEntries = document.querySelectorAll('.imageTaskContainer') taskEntries.forEach(removeTask) })}) stopImageBtn.addEventListener('click', (e) => { shiftOrConfirm(e, "Stop all the tasks?", async function(e) { await stopAllTasks() })}) widthField.addEventListener('change', onDimensionChange) heightField.addEventListener('change', onDimensionChange) function renameMakeImageButton() { let totalImages = Math.max(parseInt(numOutputsTotalField.value), parseInt(numOutputsParallelField.value)) let imageLabel = 'Image' if (totalImages > 1) { imageLabel = totalImages + ' Images' } if (SD.activeTasks.size == 0) { makeImageBtn.innerText = 'Make ' + imageLabel } else { makeImageBtn.innerText = 'Enqueue Next ' + imageLabel } } numOutputsTotalField.addEventListener('change', renameMakeImageButton) numOutputsParallelField.addEventListener('change', renameMakeImageButton) function onDimensionChange() { let widthValue = parseInt(widthField.value) let heightValue = parseInt(heightField.value) if (!initImagePreviewContainer.classList.contains("has-image")) { imageEditor.setImage(null, widthValue, heightValue) } else { imageInpainter.setImage(initImagePreview.src, widthValue, heightValue) } } diskPathField.disabled = !saveToDiskField.checked upscaleModelField.disabled = !useUpscalingField.checked useUpscalingField.addEventListener('change', function(e) { upscaleModelField.disabled = !this.checked }) makeImageBtn.addEventListener('click', makeImage) document.onkeydown = function(e) { if (e.ctrlKey && e.code === 'Enter') { makeImage() e.preventDefault() } } /********************* Guidance **************************/ function updateGuidanceScale() { guidanceScaleField.value = guidanceScaleSlider.value / 10 guidanceScaleField.dispatchEvent(new Event("change")) } 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")) } 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 = '

🔥Malware alert!🔥

The file ' + models['scan-error'] + ' in your models/stable-diffusion folder is probably malware infected.

Please delete this file from the folder before proceeding!

After deleting the file, reload this page.

' makeImageBtn.disabled = true } const stableDiffusionOptions = modelsOptions['stable-diffusion'] const vaeOptions = modelsOptions['vae'] const hypernetworkOptions = modelOptions['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") 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") 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);