forked from extern/easydiffusion
2283 lines
85 KiB
JavaScript
2283 lines
85 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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const taskConfigSetup = {
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taskConfig: {
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seed: { value: ({ seed }) => seed, label: "Seed" },
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dimensions: { value: ({ reqBody }) => `${reqBody?.width}x${reqBody?.height}`, label: "Dimensions" },
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sampler_name: "Sampler",
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num_inference_steps: "Inference Steps",
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guidance_scale: "Guidance Scale",
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use_stable_diffusion_model: "Model",
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clip_skip: {
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label: "Clip Skip",
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visible: ({ reqBody }) => reqBody?.clip_skip,
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value: ({ reqBody }) => "yes",
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},
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tiling: {
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label: "Tiling",
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visible: ({ reqBody }) => reqBody?.tiling != "none",
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value: ({ reqBody }) => reqBody?.tiling,
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},
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use_vae_model: {
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label: "VAE",
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visible: ({ reqBody }) => reqBody?.use_vae_model !== undefined && reqBody?.use_vae_model.trim() !== "",
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},
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negative_prompt: {
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label: "Negative Prompt",
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visible: ({ reqBody }) => reqBody?.negative_prompt !== undefined && reqBody?.negative_prompt.trim() !== "",
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},
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prompt_strength: "Prompt Strength",
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use_face_correction: "Fix Faces",
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upscale: {
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value: ({ reqBody }) => `${reqBody?.use_upscale} (${reqBody?.upscale_amount || 4}x)`,
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label: "Upscale",
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visible: ({ reqBody }) => !!reqBody?.use_upscale,
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},
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use_hypernetwork_model: "Hypernetwork",
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hypernetwork_strength: {
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label: "Hypernetwork Strength",
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visible: ({ reqBody }) => !!reqBody?.use_hypernetwork_model,
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},
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use_lora_model: { label: "Lora Model", visible: ({ reqBody }) => !!reqBody?.use_lora_model },
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lora_alpha: { label: "Lora Strength", visible: ({ reqBody }) => !!reqBody?.use_lora_model },
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preserve_init_image_color_profile: "Preserve Color Profile",
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},
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pluginTaskConfig: {},
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getCSSKey: (key) =>
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key
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.split("_")
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.map((s) => s.charAt(0).toUpperCase() + s.slice(1))
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.join(""),
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}
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let imageCounter = 0
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let imageRequest = []
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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 smallImageWarning = document.querySelector("#small_image_warning")
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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_name")
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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 gfpganModelField = new ModelDropdown(document.querySelector("#gfpgan_model"), ["gfpgan", "codeformer"], "", false)
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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 upscaleAmountField = document.querySelector("#upscale_amount")
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let latentUpscalerSettings = document.querySelector("#latent_upscaler_settings")
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let latentUpscalerStepsSlider = document.querySelector("#latent_upscaler_steps_slider")
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let latentUpscalerStepsField = document.querySelector("#latent_upscaler_steps")
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let codeformerFidelitySlider = document.querySelector("#codeformer_fidelity_slider")
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let codeformerFidelityField = document.querySelector("#codeformer_fidelity")
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let stableDiffusionModelField = new ModelDropdown(document.querySelector("#stable_diffusion_model"), "stable-diffusion")
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let clipSkipField = document.querySelector("#clip_skip")
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let tilingField = document.querySelector("#tiling")
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let vaeModelField = new ModelDropdown(document.querySelector("#vae_model"), "vae", "None")
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let hypernetworkModelField = new ModelDropdown(document.querySelector("#hypernetwork_model"), "hypernetwork", "None")
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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 outputLosslessField = document.querySelector("#output_lossless")
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let outputLosslessContainer = document.querySelector("#output_lossless_container")
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let blockNSFWField = document.querySelector("#block_nsfw")
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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 thumbnailSizeField = document.querySelector("#thumbnail_size-input")
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let autoscrollBtn = document.querySelector("#auto_scroll_btn")
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let autoScroll = document.querySelector("#auto_scroll")
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let embeddingsButton = document.querySelector("#embeddings-button")
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let embeddingsDialog = document.querySelector("#embeddings-dialog")
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let embeddingsDialogCloseBtn = embeddingsDialog.querySelector("#embeddings-dialog-close-button")
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let embeddingsSearchBox = document.querySelector("#embeddings-search-box")
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let embeddingsList = document.querySelector("#embeddings-list")
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let embeddingsModeField = document.querySelector("#embeddings-mode")
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let makeImageBtn = document.querySelector("#makeImage")
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let stopImageBtn = document.querySelector("#stopImage")
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let pauseBtn = document.querySelector("#pause")
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let resumeBtn = document.querySelector("#resume")
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let renderButtons = document.querySelector("#render-buttons")
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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 versionText = document.querySelector("#version")
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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 showDownloadDialogBtn = document.querySelector("#show-download-popup")
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let saveAllImagesDialog = document.querySelector("#download-images-dialog")
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let saveAllImagesBtn = document.querySelector("#save-all-images")
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let saveAllImagesCloseBtn = document.querySelector("#download-images-close-button")
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let saveAllZipToggle = document.querySelector("#zip_toggle")
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let saveAllTreeToggle = document.querySelector("#tree_toggle")
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let saveAllJSONToggle = document.querySelector("#json_toggle")
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let saveAllFoldersOption = document.querySelector("#download-add-folders")
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let splashScreenPopup = document.querySelector("#splash-screen")
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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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let imagePreviewContent = document.querySelector("#preview-content")
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let undoButton = document.querySelector("#undo")
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let undoBuffer = []
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const UNDO_LIMIT = 20
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let loraModels = []
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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 !== imagePreviewContent) {
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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(imagePreviewContent.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 = imagePreviewContent.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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imagePreviewContent.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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function setServerStatus(event) {
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switch (event.type) {
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case "online":
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serverStatusColor.style.color = "var(--status-green)"
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serverStatusMsg.style.color = "var(--status-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 = "var(--status-orange)"
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serverStatusMsg.style.color = "var(--status-orange)"
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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 = "var(--status-red)"
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serverStatusMsg.style.color = "var(--status-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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document.dispatchEvent(new CustomEvent("system_info_update", { detail: 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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'<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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prompt,
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() => {
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fn(e)
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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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console.trace()
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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
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.then((_) => {})
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.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 undoableRemove(element, doubleUndo = false) {
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let data = {
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element: element,
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parent: element.parentNode,
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prev: element.previousSibling,
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next: element.nextSibling,
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doubleUndo: doubleUndo,
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}
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undoBuffer.push(data)
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if (undoBuffer.length > UNDO_LIMIT) {
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// Remove item from memory and also remove it from the data structures
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let item = undoBuffer.shift()
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htmlTaskMap.delete(item.element)
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item.element.querySelectorAll("[data-imagecounter]").forEach((img) => {
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delete imageRequest[img.dataset["imagecounter"]]
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})
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}
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element.remove()
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if (undoBuffer.length != 0) {
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undoButton.classList.remove("displayNone")
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}
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}
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function undoRemove() {
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let data = undoBuffer.pop()
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if (!data) {
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return
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}
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if (data.next == null) {
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data.parent.appendChild(data.element)
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} else {
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data.parent.insertBefore(data.element, data.next)
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}
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if (data.doubleUndo) {
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undoRemove()
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}
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if (undoBuffer.length == 0) {
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undoButton.classList.add("displayNone")
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}
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updateInitialText()
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}
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undoButton.addEventListener("click", () => {
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undoRemove()
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})
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document.addEventListener("keydown", function(e) {
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if ((e.ctrlKey || e.metaKey) && e.key === "z" && e.target == document.body) {
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undoRemove()
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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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<div>
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<span class="imgInfoLabel imgExpandBtn"><i class="fa-solid fa-expand"></i></span><span class="imgInfoLabel imgSeedLabel"></span>
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</div>
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</div>
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<button class="imgPreviewItemClearBtn image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
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<span class="img_bottom_label"></span>
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</div>
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`
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outputContainer.appendChild(imageItemElem)
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const imageRemoveBtn = imageItemElem.querySelector(".imgPreviewItemClearBtn")
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let parentTaskContainer = imageRemoveBtn.closest(".imageTaskContainer")
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imageRemoveBtn.addEventListener("click", (e) => {
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undoableRemove(imageItemElem)
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let allHidden = true
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|
let children = parentTaskContainer.querySelectorAll(".imgItem")
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for (let x = 0; x < children.length; x++) {
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let child = children[x]
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if (child.style.display != "none") {
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allHidden = false
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}
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}
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if (allHidden === true) {
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const req = htmlTaskMap.get(parentTaskContainer)
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|
if (!req.isProcessing || req.batchesDone == req.batchCount) {
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undoableRemove(parentTaskContainer, true)
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}
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}
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})
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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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imageElem.addEventListener("load", function() {
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imageItemElem.querySelector(".img_bottom_label").innerText = `${this.naturalWidth} x ${this.naturalHeight}`
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})
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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 imageExpandBtn = imageItemElem.querySelector(".imgExpandBtn")
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|
imageExpandBtn.addEventListener("click", function() {
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function previousImage(img) {
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const allImages = Array.from(outputContainer.parentNode.querySelectorAll(".imgItem img"))
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const index = allImages.indexOf(img)
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return allImages.slice(0, index).reverse()[0]
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}
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function nextImage(img) {
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const allImages = Array.from(outputContainer.parentNode.querySelectorAll(".imgItem img"))
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const index = allImages.indexOf(img)
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return allImages.slice(index + 1)[0]
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}
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function imageModalParameter(img) {
|
|
const previousImg = previousImage(img)
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|
const nextImg = nextImage(img)
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|
|
return {
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src: img.src,
|
|
previous: previousImg ? () => imageModalParameter(previousImg) : undefined,
|
|
next: nextImg ? () => imageModalParameter(nextImg) : undefined,
|
|
}
|
|
}
|
|
|
|
imageModal(imageModalParameter(imageElem))
|
|
})
|
|
|
|
const req = Object.assign({}, reqBody, {
|
|
seed: result?.seed || reqBody.seed,
|
|
})
|
|
imageElem.setAttribute("data-seed", req.seed)
|
|
imageElem.setAttribute("data-imagecounter", ++imageCounter)
|
|
imageRequest[imageCounter] = req
|
|
const imageSeedLabel = imageItemElem.querySelector(".imgSeedLabel")
|
|
imageSeedLabel.innerText = "Seed: " + req.seed
|
|
|
|
let buttons = [
|
|
{ text: "Use as Input", on_click: onUseAsInputClick },
|
|
[
|
|
{
|
|
html: '<i class="fa-solid fa-download"></i> Download Image',
|
|
on_click: onDownloadImageClick,
|
|
class: "download-img",
|
|
},
|
|
{
|
|
html: '<i class="fa-solid fa-download"></i> JSON',
|
|
on_click: onDownloadJSONClick,
|
|
class: "download-json",
|
|
},
|
|
],
|
|
{ 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) {
|
|
if (Array.isArray(btnInfo)) {
|
|
const wrapper = document.createElement("div")
|
|
btnInfo.map(createButton).forEach((buttonElement) => wrapper.appendChild(buttonElement))
|
|
return wrapper
|
|
}
|
|
|
|
const isLabel = btnInfo.type === "label"
|
|
|
|
const newButton = document.createElement(isLabel ? "span" : "button")
|
|
newButton.classList.add("tasksBtns")
|
|
|
|
if (btnInfo.html) {
|
|
const html = typeof btnInfo.html === "function" ? btnInfo.html() : btnInfo.html
|
|
if (html instanceof HTMLElement) {
|
|
newButton.appendChild(html)
|
|
} else {
|
|
newButton.innerHTML = html
|
|
}
|
|
} else {
|
|
newButton.innerText = typeof btnInfo.text === "function" ? btnInfo.text() : btnInfo.text
|
|
}
|
|
|
|
if (btnInfo.on_click || !isLabel) {
|
|
newButton.addEventListener("click", function(event) {
|
|
btnInfo.on_click(req, img, event)
|
|
})
|
|
}
|
|
|
|
if (btnInfo.class !== undefined) {
|
|
if (Array.isArray(btnInfo.class)) {
|
|
newButton.classList.add(...btnInfo.class)
|
|
} else {
|
|
newButton.classList.add(btnInfo.class)
|
|
}
|
|
}
|
|
return newButton
|
|
}
|
|
buttons.forEach((btn) => {
|
|
if (Array.isArray(btn)) {
|
|
btn = btn.filter((btnInfo) => !btnInfo.filter || btnInfo.filter(req, img) === true)
|
|
if (btn.length === 0) {
|
|
return
|
|
}
|
|
} else if (btn.filter && btn.filter(req, img) === false) {
|
|
return
|
|
}
|
|
|
|
try {
|
|
imgItemInfo.appendChild(createButton(btn))
|
|
} catch (err) {
|
|
console.error("Error creating image info button from plugin: ", btn, err)
|
|
}
|
|
})
|
|
}
|
|
})
|
|
}
|
|
|
|
function onUseAsInputClick(req, img) {
|
|
const imgData = img.src
|
|
|
|
initImageSelector.value = null
|
|
initImagePreview.src = imgData
|
|
|
|
maskSetting.checked = false
|
|
}
|
|
|
|
function getDownloadFilename(img, suffix) {
|
|
const imageSeed = img.getAttribute("data-seed")
|
|
const imagePrompt = img.getAttribute("data-prompt")
|
|
const imageInferenceSteps = img.getAttribute("data-steps")
|
|
const imageGuidanceScale = img.getAttribute("data-guidance")
|
|
|
|
return createFileName(imagePrompt, imageSeed, imageInferenceSteps, imageGuidanceScale, suffix)
|
|
}
|
|
|
|
function onDownloadJSONClick(req, img) {
|
|
const name = getDownloadFilename(img, "json")
|
|
const blob = new Blob([JSON.stringify(req, null, 2)], { type: "text/plain" })
|
|
saveAs(blob, name)
|
|
}
|
|
|
|
function onDownloadImageClick(req, img) {
|
|
const name = getDownloadFilename(img, req["output_format"])
|
|
const blob = dataURItoBlob(img.src)
|
|
saveAs(blob, name)
|
|
}
|
|
|
|
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: gfpganModelField.value,
|
|
})
|
|
}
|
|
|
|
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 (typeof performance == "object" && performance.mark) {
|
|
performance.mark("click-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 == 0) {
|
|
numOutputsTotalField.value = 1
|
|
}
|
|
if (numOutputsParallelField.value == "" || numOutputsParallelField.value == 0) {
|
|
numOutputsParallelField.value = 1
|
|
}
|
|
if (guidanceScaleField.value == "") {
|
|
guidanceScaleField.value = guidanceScaleSlider.value / 10
|
|
}
|
|
if (hypernetworkStrengthField.value == "") {
|
|
hypernetworkStrengthField.value = hypernetworkStrengthSlider.value / 100
|
|
}
|
|
const taskTemplate = getCurrentUserRequest()
|
|
const newTaskRequests = getPrompts().map((prompt) =>
|
|
Object.assign({}, taskTemplate, {
|
|
reqBody: Object.assign({ prompt: prompt }, taskTemplate.reqBody),
|
|
})
|
|
)
|
|
newTaskRequests.forEach(createTask)
|
|
|
|
updateInitialText()
|
|
}
|
|
|
|
async function onIdle() {
|
|
const serverCapacity = SD.serverCapacity
|
|
if (pauseClient === true) {
|
|
await resumeClient()
|
|
}
|
|
|
|
for (const taskEntry of getUncompletedTaskEntries()) {
|
|
if (SD.activeTasks.size >= serverCapacity) {
|
|
break
|
|
}
|
|
const task = htmlTaskMap.get(taskEntry)
|
|
if (!task) {
|
|
const taskStatusLabel = taskEntry.querySelector(".taskStatusLabel")
|
|
taskStatusLabel.style.display = "none"
|
|
continue
|
|
}
|
|
await 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:<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)
|
|
}
|
|
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") {
|
|
if (stepUpdate.status === "succeeded") {
|
|
showImages(reqBody, stepUpdate, outputContainer, false)
|
|
} else {
|
|
task.isProcessing = false
|
|
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 picking a lower level in the '<em>GPU Memory Usage</em>' setting (in the '<em>Settings</em>' tab).<br/>
|
|
3. Try generating a smaller image.<br/>`
|
|
} else if (msg.includes("DefaultCPUAllocator: not enough memory")) {
|
|
msg += `<br/><br/>
|
|
Reason: Your computer is running out of system RAM!
|
|
<br/><br/>
|
|
<b>Suggestions</b>:
|
|
<br/>
|
|
1. Try closing unnecessary programs and browser tabs.<br/>
|
|
2. If that doesn't help, please increase your computer's virtual memory by following these steps for
|
|
<a href="https://www.ibm.com/docs/en/opw/8.2.0?topic=tuning-optional-increasing-paging-file-size-windows-computers" target="_blank">Windows</a> or
|
|
<a href="https://linuxhint.com/increase-swap-space-linux/" target="_blank">Linux</a>.<br/>
|
|
3. Try restarting your computer.<br/>`
|
|
}
|
|
} else {
|
|
msg = `Unexpected Read Error:<br/><pre>StepUpdate: ${JSON.stringify(stepUpdate, undefined, 4)}</pre>`
|
|
}
|
|
logError(msg, stepUpdate, outputMsg)
|
|
}
|
|
}
|
|
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
|
|
}
|
|
|
|
task.isProcessing = false
|
|
task["stopTask"].innerHTML = '<i class="fa-solid fa-trash-can"></i> Remove'
|
|
task["taskStatusLabel"].style.display = "none"
|
|
|
|
let time = millisecondsToStr(Date.now() - task.startTime)
|
|
|
|
if (task.batchesDone == task.batchCount) {
|
|
if (!task.outputMsg.innerText.toLowerCase().includes("error")) {
|
|
task.outputMsg.innerText = `Processed ${task.numOutputsTotal} images in ${time}`
|
|
}
|
|
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}`
|
|
}
|
|
|
|
if (randomSeedField.checked) {
|
|
seedField.value = task.seed
|
|
}
|
|
|
|
if (SD.activeTasks.size > 0) {
|
|
return
|
|
}
|
|
const uncompletedTasks = getUncompletedTaskEntries()
|
|
if (uncompletedTasks && uncompletedTasks.length > 0) {
|
|
return
|
|
}
|
|
|
|
if (pauseClient) {
|
|
resumeBtn.click()
|
|
}
|
|
renderButtons.style.display = "none"
|
|
renameMakeImageButton()
|
|
|
|
if (isSoundEnabled()) {
|
|
playSound()
|
|
}
|
|
}
|
|
|
|
async 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)
|
|
if (task.batchesDone == task.batchCount - 1) {
|
|
// Last batch of the task
|
|
// If the number of parallel jobs is no factor of the total number of images, the last batch must create less than "parallel jobs count" images
|
|
// E.g. with numOutputsTotal = 6 and num_outputs = 5, the last batch shall only generate 1 image.
|
|
newTaskReqBody.num_outputs = task.numOutputsTotal - task.reqBody.num_outputs * (task.batchCount - 1)
|
|
}
|
|
}
|
|
|
|
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 * task.reqBody.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 }
|
|
const callbacksPromises = PLUGINS["TASK_CREATE"].map((hook) => {
|
|
if (typeof hook !== "function") {
|
|
console.error("The provided TASK_CREATE hook is not a function. Hook: %o", hook)
|
|
return Promise.reject(new Error("hook is not a function."))
|
|
}
|
|
try {
|
|
return Promise.resolve(hook.call(task, eventInfo))
|
|
} catch (err) {
|
|
console.error(err)
|
|
return Promise.reject(err)
|
|
}
|
|
})
|
|
await Promise.allSettled(callbacksPromises)
|
|
let instance = eventInfo.instance
|
|
if (!instance) {
|
|
const factory = PLUGINS.OUTPUTS_FORMATS.get(eventInfo.reqBody?.output_format || newTaskReqBody.output_format)
|
|
if (factory) {
|
|
instance = await Promise.resolve(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..")
|
|
renderButtons.style.display = "flex"
|
|
renameMakeImageButton()
|
|
updateInitialText()
|
|
}
|
|
|
|
/* Hover effect for the init image in the task list */
|
|
function createInitImageHover(taskEntry) {
|
|
var $tooltip = $(taskEntry.querySelector(".task-fs-initimage"))
|
|
var img = document.createElement("img")
|
|
img.src = taskEntry.querySelector("div.task-initimg > img").src
|
|
$tooltip.append(img)
|
|
$tooltip.append(`<div class="top-right"><button>Use as Input</button></div>`)
|
|
$tooltip.find("button").on("click", (e) => {
|
|
e.stopPropagation()
|
|
onUseAsInputClick(null, img)
|
|
})
|
|
}
|
|
|
|
let startX, startY
|
|
function onTaskEntryDragOver(event) {
|
|
imagePreview.querySelectorAll(".imageTaskContainer").forEach((itc) => {
|
|
if (itc != event.target.closest(".imageTaskContainer")) {
|
|
itc.classList.remove("dropTargetBefore", "dropTargetAfter")
|
|
}
|
|
})
|
|
if (event.target.closest(".imageTaskContainer")) {
|
|
if (startX && startY) {
|
|
if (event.target.closest(".imageTaskContainer").offsetTop > startY) {
|
|
event.target.closest(".imageTaskContainer").classList.add("dropTargetAfter")
|
|
} else if (event.target.closest(".imageTaskContainer").offsetTop < startY) {
|
|
event.target.closest(".imageTaskContainer").classList.add("dropTargetBefore")
|
|
} else if (event.target.closest(".imageTaskContainer").offsetLeft > startX) {
|
|
event.target.closest(".imageTaskContainer").classList.add("dropTargetAfter")
|
|
} else if (event.target.closest(".imageTaskContainer").offsetLeft < startX) {
|
|
event.target.closest(".imageTaskContainer").classList.add("dropTargetBefore")
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
function generateConfig({ label, value, visible, cssKey }) {
|
|
if (!visible) return null
|
|
return `<div class="taskConfigContainer task${cssKey}Container"><b>${label}:</b> <span class="task${cssKey}">${value}`
|
|
}
|
|
|
|
function getVisibleConfig(config, task) {
|
|
const mergedTaskConfig = { ...config.taskConfig, ...config.pluginTaskConfig }
|
|
return Object.keys(mergedTaskConfig)
|
|
.map((key) => {
|
|
const value = mergedTaskConfig?.[key]?.value?.(task) ?? task.reqBody[key]
|
|
const visible = mergedTaskConfig?.[key]?.visible?.(task) ?? value !== undefined ?? true
|
|
const label = mergedTaskConfig?.[key]?.label ?? mergedTaskConfig?.[key]
|
|
const cssKey = config.getCSSKey(key)
|
|
return { label, visible, value, cssKey }
|
|
})
|
|
.map((obj) => generateConfig(obj))
|
|
.filter((obj) => obj)
|
|
}
|
|
|
|
function createTaskConfig(task) {
|
|
return getVisibleConfig(taskConfigSetup, task).join("</span>, </div>")
|
|
}
|
|
|
|
function createTask(task) {
|
|
let taskConfig = ""
|
|
|
|
if (task.reqBody.init_image !== undefined) {
|
|
let h = 80
|
|
let w = ((task.reqBody.width * h) / task.reqBody.height) >> 0
|
|
taskConfig += `<div class="task-initimg" style="float:left;"><img style="width:${w}px;height:${h}px;" src="${task.reqBody.init_image}"><div class="task-fs-initimage"></div></div>`
|
|
}
|
|
|
|
taskConfig += `<div class="taskConfigData">${createTaskConfig(task)}</span></div></div>`
|
|
|
|
let taskEntry = document.createElement("div")
|
|
taskEntry.id = `imageTaskContainer-${Date.now()}`
|
|
taskEntry.className = "imageTaskContainer"
|
|
taskEntry.innerHTML = ` <div class="header-content panel collapsible active">
|
|
<i class="drag-handle fa-solid fa-grip"></i>
|
|
<div class="taskStatusLabel">Enqueued</div>
|
|
<button class="secondaryButton stopTask"><i class="fa-solid fa-trash-can"></i> Remove</button>
|
|
<button class="tertiaryButton useSettings"><i class="fa-solid fa-redo"></i> Use these settings</button>
|
|
<div class="preview-prompt"></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)
|
|
|
|
let draghandle = taskEntry.querySelector(".drag-handle")
|
|
draghandle.addEventListener("mousedown", (e) => {
|
|
taskEntry.setAttribute("draggable", true)
|
|
})
|
|
// Add a debounce delay to allow mobile to bouble tap.
|
|
draghandle.addEventListener(
|
|
"mouseup",
|
|
debounce((e) => {
|
|
taskEntry.setAttribute("draggable", false)
|
|
}, 2000)
|
|
)
|
|
draghandle.addEventListener("click", (e) => {
|
|
e.preventDefault() // Don't allow the results to be collapsed...
|
|
})
|
|
taskEntry.addEventListener("dragend", (e) => {
|
|
taskEntry.setAttribute("draggable", false)
|
|
imagePreview.querySelectorAll(".imageTaskContainer").forEach((itc) => {
|
|
itc.classList.remove("dropTargetBefore", "dropTargetAfter")
|
|
})
|
|
imagePreview.removeEventListener("dragover", onTaskEntryDragOver)
|
|
})
|
|
taskEntry.addEventListener("dragstart", function(e) {
|
|
imagePreview.addEventListener("dragover", onTaskEntryDragOver)
|
|
e.dataTransfer.setData("text/plain", taskEntry.id)
|
|
startX = e.target.closest(".imageTaskContainer").offsetLeft
|
|
startY = e.target.closest(".imageTaskContainer").offsetTop
|
|
})
|
|
|
|
if (task.reqBody.init_image !== undefined) {
|
|
createInitImageHover(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) => {
|
|
e.stopPropagation()
|
|
|
|
if (task["isProcessing"]) {
|
|
shiftOrConfirm(e, "Stop this task?", async function(e) {
|
|
if (task.batchesDone <= 0 || !task.isProcessing) {
|
|
removeTask(taskEntry)
|
|
}
|
|
abortTask(task)
|
|
})
|
|
} else {
|
|
removeTask(taskEntry)
|
|
}
|
|
})
|
|
|
|
task["useSettings"] = taskEntry.querySelector(".useSettings")
|
|
task["useSettings"].addEventListener("click", function(e) {
|
|
e.stopPropagation()
|
|
restoreTaskToUI(task, TASK_REQ_NO_EXPORT)
|
|
})
|
|
|
|
task.isProcessing = true
|
|
taskEntry = imagePreviewContent.insertBefore(taskEntry, previewTools.nextSibling)
|
|
htmlTaskMap.set(taskEntry, task)
|
|
|
|
task.previewPrompt.innerText = task.reqBody.prompt
|
|
if (task.previewPrompt.innerText.trim() === "") {
|
|
task.previewPrompt.innerHTML = " " // allows the results to be collapsed
|
|
}
|
|
return taskEntry.id
|
|
}
|
|
|
|
function getCurrentUserRequest() {
|
|
const numOutputsTotal = parseInt(numOutputsTotalField.value)
|
|
const numOutputsParallel = parseInt(numOutputsParallelField.value)
|
|
const seed = randomSeedField.checked ? Math.floor(Math.random() * (2 ** 32 - 1)) : parseInt(seedField.value)
|
|
|
|
const newTask = {
|
|
batchesDone: 0,
|
|
numOutputsTotal: numOutputsTotal,
|
|
batchCount: Math.ceil(numOutputsTotal / numOutputsParallel),
|
|
seed,
|
|
reqBody: {
|
|
seed,
|
|
used_random_seed: randomSeedField.checked,
|
|
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,
|
|
vram_usage_level: vramUsageLevelField.value,
|
|
sampler_name: samplerField.value,
|
|
//render_device: undefined, // Set device affinity. Prefer this device, but wont activate.
|
|
use_stable_diffusion_model: stableDiffusionModelField.value,
|
|
clip_skip: clipSkipField.checked,
|
|
tiling: tilingField.value,
|
|
use_vae_model: vaeModelField.value,
|
|
stream_progress_updates: true,
|
|
stream_image_progress: numOutputsTotal > 50 ? false : streamImageProgressField.checked,
|
|
show_only_filtered_image: showOnlyFilteredImageField.checked,
|
|
block_nsfw: blockNSFWField.checked,
|
|
output_format: outputFormatField.value,
|
|
output_quality: parseInt(outputQualityField.value),
|
|
output_lossless: outputLosslessField.checked,
|
|
metadata_output_format: metadataOutputFormatField.value,
|
|
original_prompt: promptField.value,
|
|
active_tags: activeTags.map((x) => x.name),
|
|
inactive_tags: activeTags.filter((tag) => tag.inactive === true).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.preserve_init_image_color_profile = applyColorCorrectionField.checked
|
|
if (!testDiffusers.checked) {
|
|
newTask.reqBody.sampler_name = "ddim"
|
|
}
|
|
}
|
|
if (saveToDiskField.checked && diskPathField.value.trim() !== "") {
|
|
newTask.reqBody.save_to_disk_path = diskPathField.value.trim()
|
|
}
|
|
if (useFaceCorrectionField.checked) {
|
|
newTask.reqBody.use_face_correction = gfpganModelField.value
|
|
|
|
if (gfpganModelField.value.includes("codeformer")) {
|
|
newTask.reqBody.codeformer_upscale_faces = document.querySelector("#codeformer_upscale_faces").checked
|
|
newTask.reqBody.codeformer_fidelity = 1 - parseFloat(codeformerFidelityField.value)
|
|
}
|
|
}
|
|
if (useUpscalingField.checked) {
|
|
newTask.reqBody.use_upscale = upscaleModelField.value
|
|
newTask.reqBody.upscale_amount = upscaleAmountField.value
|
|
if (upscaleModelField.value === "latent_upscaler") {
|
|
newTask.reqBody.upscale_amount = "2"
|
|
newTask.reqBody.latent_upscaler_steps = latentUpscalerStepsField.value
|
|
}
|
|
}
|
|
if (hypernetworkModelField.value) {
|
|
newTask.reqBody.use_hypernetwork_model = hypernetworkModelField.value
|
|
newTask.reqBody.hypernetwork_strength = parseFloat(hypernetworkStrengthField.value)
|
|
}
|
|
if (testDiffusers.checked) {
|
|
let [modelNames, modelStrengths] = getModelInfo(loraModels)
|
|
|
|
if (modelNames.length > 0) {
|
|
modelNames = modelNames.length == 1 ? modelNames[0] : modelNames
|
|
modelStrengths = modelStrengths.length == 1 ? modelStrengths[0] : modelStrengths
|
|
|
|
newTask.reqBody.use_lora_model = modelNames
|
|
newTask.reqBody.lora_alpha = modelStrengths
|
|
}
|
|
}
|
|
return newTask
|
|
}
|
|
|
|
function getModelInfo(models) {
|
|
let modelInfo = models.map((e) => [e[0].value, e[1].value])
|
|
modelInfo = modelInfo.filter((e) => e[0].trim() !== "")
|
|
modelInfo = modelInfo.map((e) => [e[0], parseFloat(e[1])])
|
|
|
|
let modelNames = modelInfo.map((e) => e[0])
|
|
let modelStrengths = modelInfo.map((e) => e[1])
|
|
|
|
return [modelNames, modelStrengths]
|
|
}
|
|
|
|
function getPrompts(prompts) {
|
|
if (typeof prompts === "undefined") {
|
|
prompts = promptField.value
|
|
}
|
|
if (prompts.trim() === "" && activeTags.length === 0) {
|
|
return [""]
|
|
}
|
|
|
|
let promptsToMake = []
|
|
if (prompts.trim() !== "") {
|
|
prompts = prompts.split("\n")
|
|
prompts = prompts.map((prompt) => prompt.trim())
|
|
prompts = prompts.filter((prompt) => prompt !== "")
|
|
|
|
promptsToMake = applyPermuteOperator(prompts)
|
|
promptsToMake = applySetOperator(promptsToMake)
|
|
}
|
|
const newTags = activeTags.filter((tag) => tag.inactive === undefined || tag.inactive === false)
|
|
if (newTags.length > 0) {
|
|
const promptTags = newTags.map((x) => x.name).join(", ")
|
|
if (promptsToMake.length > 0) {
|
|
promptsToMake = promptsToMake.map((prompt) => `${prompt}, ${promptTags}`)
|
|
} else {
|
|
promptsToMake.push(promptTags)
|
|
}
|
|
}
|
|
|
|
promptsToMake = applyPermuteOperator(promptsToMake)
|
|
promptsToMake = applySetOperator(promptsToMake)
|
|
|
|
PLUGINS["GET_PROMPTS_HOOK"].forEach((fn) => {
|
|
promptsToMake = fn(promptsToMake)
|
|
})
|
|
|
|
return promptsToMake
|
|
}
|
|
|
|
function getPromptsNumber(prompts) {
|
|
if (typeof prompts === "undefined") {
|
|
prompts = promptField.value
|
|
}
|
|
if (prompts.trim() === "" && activeTags.length === 0) {
|
|
return [""]
|
|
}
|
|
|
|
let promptsToMake = []
|
|
let numberOfPrompts = 0
|
|
if (prompts.trim() !== "") {
|
|
// this needs to stay sort of the same, as the prompts have to be passed through to the other functions
|
|
prompts = prompts.split("\n")
|
|
prompts = prompts.map((prompt) => prompt.trim())
|
|
prompts = prompts.filter((prompt) => prompt !== "")
|
|
|
|
// estimate number of prompts
|
|
let estimatedNumberOfPrompts = 0
|
|
prompts.forEach((prompt) => {
|
|
estimatedNumberOfPrompts +=
|
|
(prompt.match(/{[^}]*}/g) || [])
|
|
.map((e) => (e.match(/,/g) || []).length + 1)
|
|
.reduce((p, a) => p * a, 1) *
|
|
2 ** (prompt.match(/\|/g) || []).length
|
|
})
|
|
|
|
if (estimatedNumberOfPrompts >= 10000) {
|
|
return 10000
|
|
}
|
|
|
|
promptsToMake = applySetOperator(prompts) // switched those around as Set grows in a linear fashion and permute in 2^n, and one has to be computed for the other to be calculated
|
|
numberOfPrompts = applyPermuteOperatorNumber(promptsToMake)
|
|
}
|
|
const newTags = activeTags.filter((tag) => tag.inactive === undefined || tag.inactive === false)
|
|
if (newTags.length > 0) {
|
|
const promptTags = newTags.map((x) => x.name).join(", ")
|
|
if (numberOfPrompts > 0) {
|
|
// promptsToMake = promptsToMake.map((prompt) => `${prompt}, ${promptTags}`)
|
|
// nothing changes, as all prompts just get modified
|
|
} else {
|
|
// promptsToMake.push(promptTags)
|
|
numberOfPrompts = 1
|
|
}
|
|
}
|
|
|
|
// Why is this applied twice? It does not do anything here, as everything should have already been done earlier
|
|
// promptsToMake = applyPermuteOperator(promptsToMake)
|
|
// promptsToMake = applySetOperator(promptsToMake)
|
|
|
|
return numberOfPrompts
|
|
}
|
|
|
|
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) {
|
|
// prompts is array of input, trimmed, filtered and split by \n
|
|
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
|
|
}
|
|
|
|
// returns how many prompts would have to be made with the given prompts
|
|
function applyPermuteOperatorNumber(prompts) {
|
|
// prompts is array of input, trimmed, filtered and split by \n
|
|
let numberOfPrompts = 0
|
|
prompts.forEach((prompt) => {
|
|
let promptCounter = 1
|
|
let promptMatrix = prompt.split("|")
|
|
promptMatrix.shift()
|
|
|
|
promptMatrix = promptMatrix.map((p) => p.trim())
|
|
promptMatrix = promptMatrix.filter((p) => p !== "")
|
|
|
|
if (promptMatrix.length > 0) {
|
|
promptCounter *= permuteNumber(promptMatrix)
|
|
}
|
|
numberOfPrompts += promptCounter
|
|
})
|
|
|
|
return numberOfPrompts
|
|
}
|
|
|
|
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, 70)
|
|
|
|
// name and the top level metadata
|
|
let fileName = `${underscoreName}_S${seed}_St${steps}_G${guidance}.${outputFormat}`
|
|
|
|
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 updateInitialText() {
|
|
if (document.querySelector(".imageTaskContainer") === null) {
|
|
if (undoBuffer.length > 0) {
|
|
initialText.prepend(undoButton)
|
|
}
|
|
previewTools.classList.add("displayNone")
|
|
initialText.classList.remove("displayNone")
|
|
} else {
|
|
initialText.classList.add("displayNone")
|
|
previewTools.classList.remove("displayNone")
|
|
document.querySelector("div.display-settings").prepend(undoButton)
|
|
}
|
|
}
|
|
|
|
function removeTask(taskToRemove) {
|
|
undoableRemove(taskToRemove)
|
|
updateInitialText()
|
|
}
|
|
|
|
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)
|
|
})
|
|
})
|
|
|
|
/* Download images popup */
|
|
showDownloadDialogBtn.addEventListener("click", (e) => {
|
|
saveAllImagesDialog.showModal()
|
|
})
|
|
saveAllImagesCloseBtn.addEventListener("click", (e) => {
|
|
saveAllImagesDialog.close()
|
|
})
|
|
modalDialogCloseOnBackdropClick(saveAllImagesDialog)
|
|
makeDialogDraggable(saveAllImagesDialog)
|
|
|
|
saveAllZipToggle.addEventListener("change", (e) => {
|
|
if (saveAllZipToggle.checked) {
|
|
saveAllFoldersOption.classList.remove("displayNone")
|
|
} else {
|
|
saveAllFoldersOption.classList.add("displayNone")
|
|
}
|
|
})
|
|
|
|
// convert base64 to raw binary data held in a string
|
|
function dataURItoBlob(dataURI) {
|
|
var byteString = atob(dataURI.split(",")[1])
|
|
|
|
// separate out the mime component
|
|
var mimeString = dataURI
|
|
.split(",")[0]
|
|
.split(":")[1]
|
|
.split(";")[0]
|
|
|
|
// write the bytes of the string to an ArrayBuffer
|
|
var ab = new ArrayBuffer(byteString.length)
|
|
|
|
// create a view into the buffer
|
|
var ia = new Uint8Array(ab)
|
|
|
|
// set the bytes of the buffer to the correct values
|
|
for (var i = 0; i < byteString.length; i++) {
|
|
ia[i] = byteString.charCodeAt(i)
|
|
}
|
|
|
|
// write the ArrayBuffer to a blob, and you're done
|
|
return new Blob([ab], { type: mimeString })
|
|
}
|
|
|
|
function downloadAllImages() {
|
|
let i = 0
|
|
|
|
let optZIP = saveAllZipToggle.checked
|
|
let optTree = optZIP && saveAllTreeToggle.checked
|
|
let optJSON = saveAllJSONToggle.checked
|
|
|
|
let zip = new JSZip()
|
|
let folder = zip
|
|
|
|
document.querySelectorAll(".imageTaskContainer").forEach((container) => {
|
|
if (optTree) {
|
|
let name =
|
|
++i +
|
|
"-" +
|
|
container
|
|
.querySelector(".preview-prompt")
|
|
.textContent.replace(/[^a-zA-Z0-9]/g, "_")
|
|
.substring(0, 25)
|
|
folder = zip.folder(name)
|
|
}
|
|
container.querySelectorAll(".imgContainer img").forEach((img) => {
|
|
let imgItem = img.closest(".imgItem")
|
|
|
|
if (imgItem.style.display === "none") {
|
|
return
|
|
}
|
|
|
|
let req = imageRequest[img.dataset["imagecounter"]]
|
|
if (optZIP) {
|
|
let suffix = img.dataset["imagecounter"] + "." + req["output_format"]
|
|
folder.file(getDownloadFilename(img, suffix), dataURItoBlob(img.src))
|
|
if (optJSON) {
|
|
suffix = img.dataset["imagecounter"] + ".json"
|
|
folder.file(getDownloadFilename(img, suffix), JSON.stringify(req, null, 2))
|
|
}
|
|
} else {
|
|
setTimeout(() => {
|
|
imgItem.querySelector(".download-img").click()
|
|
}, i * 200)
|
|
i = i + 1
|
|
if (optJSON) {
|
|
setTimeout(() => {
|
|
imgItem.querySelector(".download-json").click()
|
|
}, i * 200)
|
|
i = i + 1
|
|
}
|
|
}
|
|
})
|
|
})
|
|
if (optZIP) {
|
|
let now = Date.now()
|
|
.toString(36)
|
|
.toUpperCase()
|
|
zip.generateAsync({ type: "blob" }).then(function(blob) {
|
|
saveAs(blob, `EasyDiffusion-Images-${now}.zip`)
|
|
})
|
|
}
|
|
}
|
|
|
|
saveAllImagesBtn.addEventListener("click", (e) => {
|
|
downloadAllImages()
|
|
})
|
|
|
|
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)) * getPromptsNumber()
|
|
let imageLabel = "Image"
|
|
if (totalImages > 1) {
|
|
imageLabel = totalImages + " Images"
|
|
}
|
|
if (SD.activeTasks.size == 0) {
|
|
if (totalImages >= 10000) makeImageBtn.innerText = "Make 10000+ images"
|
|
else makeImageBtn.innerText = "Make " + imageLabel
|
|
} else {
|
|
if (totalImages >= 10000) makeImageBtn.innerText = "Enqueue 10000+ images"
|
|
else makeImageBtn.innerText = "Enqueue Next " + imageLabel
|
|
}
|
|
}
|
|
numOutputsTotalField.addEventListener("change", renameMakeImageButton)
|
|
numOutputsTotalField.addEventListener("keyup", debounce(renameMakeImageButton, 300))
|
|
numOutputsParallelField.addEventListener("change", renameMakeImageButton)
|
|
numOutputsParallelField.addEventListener("keyup", debounce(renameMakeImageButton, 300))
|
|
|
|
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)
|
|
}
|
|
if (widthValue < 512 && heightValue < 512) {
|
|
smallImageWarning.classList.remove("displayNone")
|
|
} else {
|
|
smallImageWarning.classList.add("displayNone")
|
|
}
|
|
}
|
|
|
|
diskPathField.disabled = !saveToDiskField.checked
|
|
metadataOutputFormatField.disabled = !saveToDiskField.checked
|
|
|
|
gfpganModelField.disabled = !useFaceCorrectionField.checked
|
|
useFaceCorrectionField.addEventListener("change", function(e) {
|
|
gfpganModelField.disabled = !this.checked
|
|
|
|
onFixFaceModelChange()
|
|
})
|
|
|
|
function onFixFaceModelChange() {
|
|
let codeformerSettings = document.querySelector("#codeformer_settings")
|
|
if (gfpganModelField.value === "codeformer" && !gfpganModelField.disabled) {
|
|
codeformerSettings.classList.remove("displayNone")
|
|
codeformerSettings.classList.add("expandedSettingRow")
|
|
} else {
|
|
codeformerSettings.classList.add("displayNone")
|
|
codeformerSettings.classList.remove("expandedSettingRow")
|
|
}
|
|
}
|
|
gfpganModelField.addEventListener("change", onFixFaceModelChange)
|
|
onFixFaceModelChange()
|
|
|
|
upscaleModelField.disabled = !useUpscalingField.checked
|
|
upscaleAmountField.disabled = !useUpscalingField.checked
|
|
useUpscalingField.addEventListener("change", function(e) {
|
|
upscaleModelField.disabled = !this.checked
|
|
upscaleAmountField.disabled = !this.checked
|
|
|
|
onUpscaleModelChange()
|
|
})
|
|
|
|
function onUpscaleModelChange() {
|
|
let upscale4x = document.querySelector("#upscale_amount_4x")
|
|
if (upscaleModelField.value === "latent_upscaler" && !upscaleModelField.disabled) {
|
|
upscale4x.disabled = true
|
|
upscaleAmountField.value = "2"
|
|
latentUpscalerSettings.classList.remove("displayNone")
|
|
latentUpscalerSettings.classList.add("expandedSettingRow")
|
|
} else {
|
|
upscale4x.disabled = false
|
|
latentUpscalerSettings.classList.add("displayNone")
|
|
latentUpscalerSettings.classList.remove("expandedSettingRow")
|
|
}
|
|
}
|
|
upscaleModelField.addEventListener("change", onUpscaleModelChange)
|
|
onUpscaleModelChange()
|
|
|
|
makeImageBtn.addEventListener("click", makeImage)
|
|
|
|
document.onkeydown = function(e) {
|
|
if (e.ctrlKey && e.code === "Enter") {
|
|
makeImage()
|
|
e.preventDefault()
|
|
}
|
|
}
|
|
|
|
/********************* CodeFormer Fidelity **************************/
|
|
function updateCodeformerFidelity() {
|
|
codeformerFidelityField.value = codeformerFidelitySlider.value / 10
|
|
codeformerFidelityField.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
function updateCodeformerFidelitySlider() {
|
|
if (codeformerFidelityField.value < 0) {
|
|
codeformerFidelityField.value = 0
|
|
} else if (codeformerFidelityField.value > 1) {
|
|
codeformerFidelityField.value = 1
|
|
}
|
|
|
|
codeformerFidelitySlider.value = codeformerFidelityField.value * 10
|
|
codeformerFidelitySlider.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
codeformerFidelitySlider.addEventListener("input", updateCodeformerFidelity)
|
|
codeformerFidelityField.addEventListener("input", updateCodeformerFidelitySlider)
|
|
updateCodeformerFidelity()
|
|
|
|
/********************* Latent Upscaler Steps **************************/
|
|
function updateLatentUpscalerSteps() {
|
|
latentUpscalerStepsField.value = latentUpscalerStepsSlider.value
|
|
latentUpscalerStepsField.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
function updateLatentUpscalerStepsSlider() {
|
|
if (latentUpscalerStepsField.value < 1) {
|
|
latentUpscalerStepsField.value = 1
|
|
} else if (latentUpscalerStepsField.value > 50) {
|
|
latentUpscalerStepsField.value = 50
|
|
}
|
|
|
|
latentUpscalerStepsSlider.value = latentUpscalerStepsField.value
|
|
latentUpscalerStepsSlider.dispatchEvent(new Event("change"))
|
|
}
|
|
|
|
latentUpscalerStepsSlider.addEventListener("input", updateLatentUpscalerSteps)
|
|
latentUpscalerStepsField.addEventListener("input", updateLatentUpscalerStepsSlider)
|
|
updateLatentUpscalerSteps()
|
|
|
|
/********************* 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()
|
|
|
|
function updateHypernetworkStrengthContainer() {
|
|
document.querySelector("#hypernetwork_strength_container").style.display =
|
|
hypernetworkModelField.value === "" ? "none" : ""
|
|
}
|
|
hypernetworkModelField.addEventListener("change", updateHypernetworkStrengthContainer)
|
|
updateHypernetworkStrengthContainer()
|
|
|
|
/********************* JPEG/WEBP 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()
|
|
|
|
function updateOutputQualityVisibility() {
|
|
if (outputFormatField.value === "webp") {
|
|
outputLosslessContainer.classList.remove("displayNone")
|
|
if (outputLosslessField.checked) {
|
|
outputQualityRow.classList.add("displayNone")
|
|
} else {
|
|
outputQualityRow.classList.remove("displayNone")
|
|
}
|
|
} else if (outputFormatField.value === "png") {
|
|
outputQualityRow.classList.add("displayNone")
|
|
outputLosslessContainer.classList.add("displayNone")
|
|
} else {
|
|
outputQualityRow.classList.remove("displayNone")
|
|
outputLosslessContainer.classList.add("displayNone")
|
|
}
|
|
}
|
|
|
|
outputFormatField.addEventListener("change", updateOutputQualityVisibility)
|
|
outputLosslessField.addEventListener("change", updateOutputQualityVisibility)
|
|
/********************* Zoom Slider **********************/
|
|
thumbnailSizeField.addEventListener("change", () => {
|
|
;(function(s) {
|
|
for (var j = 0; j < document.styleSheets.length; j++) {
|
|
let cssSheet = document.styleSheets[j]
|
|
for (var i = 0; i < cssSheet.cssRules.length; i++) {
|
|
var rule = cssSheet.cssRules[i]
|
|
if (rule.selectorText == "div.img-preview img") {
|
|
rule.style["max-height"] = s + "vh"
|
|
rule.style["max-width"] = s + "vw"
|
|
return
|
|
}
|
|
}
|
|
}
|
|
})(thumbnailSizeField.value)
|
|
})
|
|
|
|
function onAutoScrollUpdate() {
|
|
if (autoScroll.checked) {
|
|
autoscrollBtn.classList.add("pressed")
|
|
} else {
|
|
autoscrollBtn.classList.remove("pressed")
|
|
}
|
|
autoscrollBtn.querySelector(".state").innerHTML = autoScroll.checked ? "ON" : "OFF"
|
|
}
|
|
autoscrollBtn.addEventListener("click", function() {
|
|
autoScroll.checked = !autoScroll.checked
|
|
autoScroll.dispatchEvent(new Event("change"))
|
|
onAutoScrollUpdate()
|
|
})
|
|
autoScroll.addEventListener("change", onAutoScrollUpdate)
|
|
|
|
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"
|
|
if (!testDiffusers.checked) {
|
|
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"
|
|
if (!testDiffusers.checked) {
|
|
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", async function() {
|
|
if (promptsFromFileSelector.files.length === 0) {
|
|
return
|
|
}
|
|
|
|
let reader = new FileReader()
|
|
let file = promptsFromFileSelector.files[0]
|
|
|
|
reader.addEventListener("load", async function() {
|
|
await parseContent(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.parentNode === tabInfo.tab.parentNode) {
|
|
info.tab.classList.toggle("active")
|
|
info.content.classList.toggle("active")
|
|
}
|
|
})
|
|
tabInfo.tab.classList.toggle("active")
|
|
tabInfo.content.classList.toggle("active")
|
|
}
|
|
document.dispatchEvent(new CustomEvent("tabClick", { detail: tabInfo }))
|
|
}
|
|
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))
|
|
}
|
|
function isTabActive(tab) {
|
|
return tab.classList.contains("active")
|
|
}
|
|
|
|
let pauseClient = false
|
|
|
|
function resumeClient() {
|
|
if (pauseClient) {
|
|
document.body.classList.remove("wait-pause")
|
|
document.body.classList.add("pause")
|
|
}
|
|
return new Promise((resolve) => {
|
|
let playbuttonclick = function() {
|
|
resumeBtn.removeEventListener("click", playbuttonclick)
|
|
resolve("resolved")
|
|
}
|
|
resumeBtn.addEventListener("click", playbuttonclick)
|
|
})
|
|
}
|
|
|
|
function splashScreen(force = false) {
|
|
const splashVersion = splashScreenPopup.dataset["version"]
|
|
const lastSplash = localStorage.getItem("lastSplashScreenVersion") || 0
|
|
if (testDiffusers.checked) {
|
|
if (force || lastSplash < splashVersion) {
|
|
splashScreenPopup.classList.add("active")
|
|
localStorage.setItem("lastSplashScreenVersion", splashVersion)
|
|
}
|
|
}
|
|
}
|
|
|
|
document.getElementById("logo_img").addEventListener("click", (e) => {
|
|
splashScreen(true)
|
|
})
|
|
|
|
promptField.addEventListener("input", debounce(renameMakeImageButton, 1000))
|
|
|
|
pauseBtn.addEventListener("click", function() {
|
|
pauseClient = true
|
|
pauseBtn.style.display = "none"
|
|
resumeBtn.style.display = "inline"
|
|
document.body.classList.add("wait-pause")
|
|
})
|
|
|
|
resumeBtn.addEventListener("click", function() {
|
|
pauseClient = false
|
|
resumeBtn.style.display = "none"
|
|
pauseBtn.style.display = "inline"
|
|
document.body.classList.remove("pause")
|
|
document.body.classList.remove("wait-pause")
|
|
})
|
|
|
|
function tunnelUpdate(event) {
|
|
if ("cloudflare" in event) {
|
|
document.getElementById("cloudflare-off").classList.add("displayNone")
|
|
document.getElementById("cloudflare-on").classList.remove("displayNone")
|
|
cloudflareAddressField.value = event.cloudflare
|
|
document.getElementById("toggle-cloudflare-tunnel").innerHTML = "Stop"
|
|
} else {
|
|
document.getElementById("cloudflare-on").classList.add("displayNone")
|
|
document.getElementById("cloudflare-off").classList.remove("displayNone")
|
|
document.getElementById("toggle-cloudflare-tunnel").innerHTML = "Start"
|
|
}
|
|
}
|
|
|
|
document.getElementById("toggle-cloudflare-tunnel").addEventListener("click", async function() {
|
|
let command = "stop"
|
|
if (document.getElementById("toggle-cloudflare-tunnel").innerHTML == "Start") {
|
|
command = "start"
|
|
}
|
|
showToast(`Cloudflare tunnel ${command} initiated. Please wait.`)
|
|
|
|
let res = await fetch("/tunnel/cloudflare/" + command, {
|
|
method: "POST",
|
|
headers: {
|
|
"Content-Type": "application/json",
|
|
},
|
|
body: JSON.stringify({}),
|
|
})
|
|
res = await res.json()
|
|
|
|
console.log(`Cloudflare tunnel ${command} result:`, res)
|
|
})
|
|
|
|
/* Embeddings */
|
|
|
|
function updateEmbeddingsList(filter = "") {
|
|
function html(model, prefix = "", filter = "") {
|
|
filter = filter.toLowerCase()
|
|
let toplevel = ""
|
|
let folders = ""
|
|
|
|
model?.forEach((m) => {
|
|
if (typeof m == "string") {
|
|
if (m.toLowerCase().search(filter) != -1) {
|
|
toplevel += `<button data-embedding="${m}">${m}</button> `
|
|
}
|
|
} else {
|
|
let subdir = html(m[1], prefix + m[0] + "/", filter)
|
|
if (subdir != "") {
|
|
folders += `<h4>${prefix}${m[0]}</h4>` + subdir
|
|
}
|
|
}
|
|
})
|
|
return toplevel + folders
|
|
}
|
|
|
|
function onButtonClick(e) {
|
|
let text = e.target.dataset["embedding"]
|
|
console.log(e.shiftKey, text)
|
|
|
|
if (embeddingsModeField.value == "insert") {
|
|
if (e.shiftKey) {
|
|
insertAtCursor(negativePromptField, text)
|
|
} else {
|
|
insertAtCursor(promptField, text)
|
|
}
|
|
} else {
|
|
let pad = ""
|
|
if (e.shiftKey) {
|
|
if (!negativePromptField.value.endsWith(" ")) {
|
|
pad = " "
|
|
}
|
|
negativePromptField.value += pad + text
|
|
} else {
|
|
if (!promptField.value.endsWith(" ")) {
|
|
pad = " "
|
|
}
|
|
promptField.value += pad + text
|
|
}
|
|
}
|
|
}
|
|
|
|
// Remove after fixing https://github.com/huggingface/diffusers/issues/3922
|
|
let warning = ""
|
|
if (vramUsageLevelField.value == "low") {
|
|
warning = `
|
|
<div style="border-color: var(--accent-color); border-width: 4px; border-radius: 1em; border-style: solid; background: black; text-align: center; padding: 1em; margin: 1em; ">
|
|
<i class="fa fa-fire" style="color:#f7630c;"></i> Warning: Your GPU memory profile is set to "Low". Embeddings currently only work in "Balanced" mode!
|
|
</div>`
|
|
}
|
|
// END of remove block
|
|
|
|
embeddingsList.innerHTML = warning + html(modelsOptions.embeddings, "", filter)
|
|
embeddingsList.querySelectorAll("button").forEach((b) => {
|
|
b.addEventListener("click", onButtonClick)
|
|
})
|
|
}
|
|
|
|
embeddingsButton.addEventListener("click", () => {
|
|
updateEmbeddingsList()
|
|
embeddingsSearchBox.value = ""
|
|
embeddingsDialog.showModal()
|
|
})
|
|
embeddingsDialogCloseBtn.addEventListener("click", (e) => {
|
|
embeddingsDialog.close()
|
|
})
|
|
embeddingsSearchBox.addEventListener("input", (e) => {
|
|
updateEmbeddingsList(embeddingsSearchBox.value)
|
|
})
|
|
|
|
modalDialogCloseOnBackdropClick(embeddingsDialog)
|
|
makeDialogDraggable(embeddingsDialog)
|
|
|
|
if (testDiffusers.checked) {
|
|
document.getElementById("embeddings-container").classList.remove("displayNone")
|
|
}
|
|
|
|
/* Pause function */
|
|
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)
|
|
|
|
// set the textbox as focused on start
|
|
promptField.focus()
|
|
promptField.selectionStart = promptField.value.length
|
|
|
|
// multi-models
|
|
function addModelEntry(i, modelContainer, modelsList, modelType, defaultValue, strengthStep) {
|
|
let nameId = modelType + "_model_" + i
|
|
let strengthId = modelType + "_alpha_" + i
|
|
|
|
const modelEntry = document.createElement("div")
|
|
modelEntry.className = "model_entry"
|
|
modelEntry.innerHTML = `
|
|
<input id="${nameId}" class="model_name" type="text" spellcheck="false" autocomplete="off" class="model-filter" data-path="" />
|
|
<input id="${strengthId}" class="model_strength" type="number" step="${strengthStep}" style="width: 50pt" value="${defaultValue}" pattern="^-?[0-9]*\.?[0-9]*$" onkeypress="preventNonNumericalInput(event)"><br/>
|
|
`
|
|
|
|
let modelName = new ModelDropdown(modelEntry.querySelector(".model_name"), modelType, "None")
|
|
let modelStrength = modelEntry.querySelector(".model_strength")
|
|
|
|
modelContainer.appendChild(modelEntry)
|
|
modelsList.push([modelName, modelStrength])
|
|
}
|
|
|
|
function createLoRAEntries() {
|
|
let container = document.querySelector("#lora_model_container .model_entries")
|
|
for (let i = 0; i < 3; i++) {
|
|
addModelEntry(i, container, loraModels, "lora", 0.5, 0.02)
|
|
}
|
|
}
|
|
createLoRAEntries()
|
|
|
|
// chrome-like spinners only on hover
|
|
// function showSpinnerOnlyOnHover(e) {
|
|
// e.addEventListener("mouseenter", () => {
|
|
// e.setAttribute("type", "number")
|
|
// })
|
|
// e.addEventListener("mouseleave", () => {
|
|
// e.removeAttribute("type")
|
|
// })
|
|
// e.removeAttribute("type")
|
|
// }
|
|
|
|
// document.querySelectorAll("input[type=number]").forEach(showSpinnerOnlyOnHover)
|