mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-25 01:34:38 +01:00
2927 lines
108 KiB
JavaScript
2927 lines
108 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 spinnerPacmanHtml =
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'<div class="loadingio-spinner-bean-eater-x0y3u8qky4n"><div class="ldio-8f673ktaleu"><div><div></div><div></div><div></div></div><div><div></div><div></div><div></div></div></div></div>'
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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 }) =>
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reqBody?.tiling != "none" && reqBody?.tiling !== null && reqBody?.tiling !== undefined,
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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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strict_mask_border: "Strict Mask Border",
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use_controlnet_model: "ControlNet Model",
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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 customWidthField = document.querySelector("#custom-width")
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let customHeightField = document.querySelector("#custom-height")
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let recentResolutionsButton = document.querySelector("#recent-resolutions-button")
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let recentResolutionsPopup = document.querySelector("#recent-resolutions-popup")
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let recentResolutionList = document.querySelector("#recent-resolution-list")
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let commonResolutionList = document.querySelector("#common-resolution-list")
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let resizeSlider = document.querySelector("#resize-slider")
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let enlargeButtons = document.querySelector("#enlarge-buttons")
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let swapWidthHeightButton = document.querySelector("#swap-width-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 controlImageSelector = document.querySelector("#control_image")
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let controlImagePreview = document.querySelector("#control_image_preview")
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let controlImageClearBtn = document.querySelector(".control_image_clear")
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let controlImageContainer = document.querySelector("#control_image_wrapper")
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let controlImageFilterField = document.querySelector("#control_image_filter")
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let applyColorCorrectionField = document.querySelector("#apply_color_correction")
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let strictMaskBorderField = document.querySelector("#strict_mask_border")
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let colorCorrectionSetting = document.querySelector("#apply_color_correction_setting")
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let strictMaskBorderSetting = document.querySelector("#strict_mask_border_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 controlnetModelField = new ModelDropdown(document.querySelector("#controlnet_model"), "controlnet", "None", false)
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let vaeModelField = new ModelDropdown(document.querySelector("#vae_model"), "vae", "None")
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let loraModelField = new MultiModelSelector(document.querySelector("#lora_model"), "lora", "LoRA", 0.5, 0.02)
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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 enableVAETilingField = document.querySelector("#enable_vae_tiling")
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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 negativeEmbeddingsButton = document.querySelector("#negative-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 embeddingsCardSizeSelector = document.querySelector("#embedding-card-size-selector")
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let addEmbeddingsThumb = document.querySelector("#add-embeddings-thumb")
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let addEmbeddingsThumbInput = document.querySelector("#add-embeddings-thumb-input")
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let positiveEmbeddingText = document.querySelector("#positive-embedding-text")
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let negativeEmbeddingText = document.querySelector("#negative-embedding-text")
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let embeddingsCollapsiblesBtn = document.querySelector("#embeddings-action-collapsibles-btn")
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let makeImageBtn = document.querySelector("#makeImage")
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let stopImageBtn = document.querySelector("#stopImage")
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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 supportBanner = document.querySelector("#supportBanner")
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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 useAsThumbDialog = document.querySelector("#use-as-thumb-dialog")
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let useAsThumbDialogCloseBtn = document.querySelector("#use-as-thumb-dialog-close-button")
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let useAsThumbImageContainer = document.querySelector("#use-as-thumb-img-container")
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let useAsThumbSelect = document.querySelector("#use-as-thumb-select")
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let useAsThumbSaveBtn = document.querySelector("#use-as-thumb-save")
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let useAsThumbCancelBtn = document.querySelector("#use-as-thumb-cancel")
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let maskSetting = document.querySelector("#enable_mask")
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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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const MAX_IMG_UNDO_ENTRIES = 5
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let IMAGE_STEP_SIZE = 64
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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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// allowSkip: Allow skipping the dialog using the shift key or the confirm_dangerous_actions setting (default: true)
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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, allowSkip = true) {
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e.stopPropagation()
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let tip = allowSkip
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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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: ""
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if (allowSkip && (e.shiftKey || !confirmDangerousActionsField.checked)) {
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fn(e)
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} else {
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confirm(tip, prompt, () => {
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fn(e)
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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)
|
||
item.element.querySelectorAll("[data-imagecounter]").forEach((img) => {
|
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delete imageRequest[img.dataset["imagecounter"]]
|
||
})
|
||
}
|
||
element.remove()
|
||
if (undoBuffer.length != 0) {
|
||
undoButton.classList.remove("displayNone")
|
||
}
|
||
}
|
||
|
||
function undoRemove() {
|
||
let data = undoBuffer.pop()
|
||
if (!data) {
|
||
return
|
||
}
|
||
if (data.next == null) {
|
||
data.parent.appendChild(data.element)
|
||
} else {
|
||
data.parent.insertBefore(data.element, data.next)
|
||
}
|
||
if (data.doubleUndo) {
|
||
undoRemove()
|
||
}
|
||
if (undoBuffer.length == 0) {
|
||
undoButton.classList.add("displayNone")
|
||
}
|
||
updateInitialText()
|
||
}
|
||
|
||
undoButton.addEventListener("click", () => {
|
||
undoRemove()
|
||
})
|
||
|
||
document.addEventListener("keydown", function(e) {
|
||
if ((e.ctrlKey || e.metaKey) && e.key === "z" && e.target == document.body) {
|
||
undoRemove()
|
||
}
|
||
})
|
||
|
||
function showImages(reqBody, res, outputContainer, livePreview) {
|
||
let imageItemElements = outputContainer.querySelectorAll(".imgItem")
|
||
if (typeof res != "object") return
|
||
res.output.reverse()
|
||
res.output.forEach((result, index) => {
|
||
const imageData = result?.data || result?.path + "?t=" + Date.now(),
|
||
imageSeed = result?.seed,
|
||
imagePrompt = reqBody.prompt,
|
||
imageInferenceSteps = reqBody.num_inference_steps,
|
||
imageGuidanceScale = reqBody.guidance_scale,
|
||
imageWidth = reqBody.width,
|
||
imageHeight = reqBody.height
|
||
|
||
if (!imageData.includes("/")) {
|
||
// res contained no data for the image, stop execution
|
||
setStatus("request", "invalid image", "error")
|
||
return
|
||
}
|
||
|
||
let imageItemElem = index < imageItemElements.length ? imageItemElements[index] : null
|
||
if (!imageItemElem) {
|
||
imageItemElem = document.createElement("div")
|
||
imageItemElem.className = "imgItem"
|
||
imageItemElem.innerHTML = `
|
||
<div class="imgContainer">
|
||
<img/>
|
||
<div class="imgItemInfo">
|
||
<div>
|
||
<span class="imgInfoLabel imgExpandBtn"><i class="fa-solid fa-expand"></i></span><span class="imgInfoLabel imgSeedLabel"></span>
|
||
</div>
|
||
</div>
|
||
<button class="imgPreviewItemClearBtn image_clear_btn"><i class="fa-solid fa-xmark"></i></button>
|
||
<span class="img_bottom_label"></span>
|
||
<div class="spinner displayNone"><center>${spinnerPacmanHtml}</center><div class="spinnerStatus"></div></div>
|
||
</div>
|
||
`
|
||
outputContainer.appendChild(imageItemElem)
|
||
const imageRemoveBtn = imageItemElem.querySelector(".imgPreviewItemClearBtn")
|
||
let parentTaskContainer = imageRemoveBtn.closest(".imageTaskContainer")
|
||
imageRemoveBtn.addEventListener("click", (e) => {
|
||
undoableRemove(imageItemElem)
|
||
let allHidden = true
|
||
let children = parentTaskContainer.querySelectorAll(".imgItem")
|
||
for (let x = 0; x < children.length; x++) {
|
||
let child = children[x]
|
||
if (child.style.display != "none") {
|
||
allHidden = false
|
||
}
|
||
}
|
||
if (allHidden === true) {
|
||
const req = htmlTaskMap.get(parentTaskContainer)
|
||
if (!req.isProcessing || req.batchesDone == req.batchCount) {
|
||
undoableRemove(parentTaskContainer, true)
|
||
}
|
||
}
|
||
})
|
||
}
|
||
const imageElem = imageItemElem.querySelector("img")
|
||
imageElem.src = imageData
|
||
imageElem.width = parseInt(imageWidth)
|
||
imageElem.height = parseInt(imageHeight)
|
||
imageElem.setAttribute("data-prompt", imagePrompt)
|
||
imageElem.setAttribute("data-steps", imageInferenceSteps)
|
||
imageElem.setAttribute("data-guidance", imageGuidanceScale)
|
||
|
||
imageElem.addEventListener("load", function() {
|
||
imageItemElem.querySelector(".img_bottom_label").innerText = `${this.naturalWidth} x ${this.naturalHeight}`
|
||
})
|
||
|
||
const imageInfo = imageItemElem.querySelector(".imgItemInfo")
|
||
imageInfo.style.visibility = livePreview ? "hidden" : "visible"
|
||
|
||
if ("seed" in result && !imageElem.hasAttribute("data-seed")) {
|
||
const imageExpandBtn = imageItemElem.querySelector(".imgExpandBtn")
|
||
imageExpandBtn.addEventListener("click", function() {
|
||
function previousImage(img) {
|
||
const allImages = Array.from(outputContainer.parentNode.querySelectorAll(".imgItem img"))
|
||
const index = allImages.indexOf(img)
|
||
return allImages.slice(0, index).reverse()[0]
|
||
}
|
||
|
||
function nextImage(img) {
|
||
const allImages = Array.from(outputContainer.parentNode.querySelectorAll(".imgItem img"))
|
||
const index = allImages.indexOf(img)
|
||
return allImages.slice(index + 1)[0]
|
||
}
|
||
|
||
function imageModalParameter(img) {
|
||
const previousImg = previousImage(img)
|
||
const nextImg = nextImage(img)
|
||
|
||
return {
|
||
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
|
||
|
||
const imageUndoBuffer = []
|
||
const imageRedoBuffer = []
|
||
let buttons = [
|
||
{ text: "Use as Input", on_click: onUseAsInputClick },
|
||
{ text: "Use for Controlnet", on_click: onUseForControlnetClick },
|
||
[
|
||
{
|
||
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 },
|
||
[
|
||
{ html: '<i class="fa-solid fa-undo"></i> Undo', on_click: onUndoFilter },
|
||
{ html: '<i class="fa-solid fa-redo"></i> Redo', on_click: onRedoFilter },
|
||
{ text: "Upscale", on_click: onUpscaleClick },
|
||
{ text: "Fix Faces", on_click: onFixFacesClick },
|
||
],
|
||
{
|
||
text: "Use as Thumbnail",
|
||
on_click: onUseAsThumbnailClick,
|
||
filter: (req, img) => "use_embeddings_model" in req || "use_lora_model" in req
|
||
},
|
||
]
|
||
|
||
// include the plugins
|
||
buttons = buttons.concat(PLUGINS["IMAGE_INFO_BUTTONS"])
|
||
|
||
const imgItemInfo = imageItemElem.querySelector(".imgItemInfo")
|
||
const img = imageItemElem.querySelector("img")
|
||
const spinner = imageItemElem.querySelector(".spinner")
|
||
const spinnerStatus = imageItemElem.querySelector(".spinnerStatus")
|
||
const tools = {
|
||
spinner: spinner,
|
||
spinnerStatus: spinnerStatus,
|
||
undoBuffer: imageUndoBuffer,
|
||
redoBuffer: imageRedoBuffer,
|
||
}
|
||
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.bind(newButton)(req, img, event, tools)
|
||
})
|
||
if (btnInfo.on_click === onUndoFilter) {
|
||
tools["undoButton"] = newButton
|
||
newButton.classList.add("displayNone")
|
||
}
|
||
if (btnInfo.on_click === onRedoFilter) {
|
||
tools["redoButton"] = newButton
|
||
newButton.classList.add("displayNone")
|
||
}
|
||
}
|
||
|
||
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 onUseForControlnetClick(req, img) {
|
||
controlImagePreview.src = img.src
|
||
}
|
||
|
||
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)
|
||
}
|
||
|
||
// gets a flat list of all models of a certain type, ignoring directories
|
||
function getAllModelNames(type) {
|
||
function f(tree) {
|
||
if (tree == undefined) {
|
||
return []
|
||
}
|
||
let result = []
|
||
tree.forEach((e) => {
|
||
if (typeof e == "object") {
|
||
result = result.concat(f(e[1]))
|
||
} else {
|
||
result.push(e)
|
||
}
|
||
})
|
||
return result
|
||
}
|
||
return f(modelsOptions[type])
|
||
}
|
||
|
||
// gets a flattened list of all models of a certain type. e.g. "path/subpath/modelname"
|
||
// use the filter to search for all models having a certain name.
|
||
function getAllModelPathes(type, filter = "") {
|
||
function f(tree, prefix) {
|
||
if (tree == undefined) {
|
||
return []
|
||
}
|
||
let result = []
|
||
tree.forEach((e) => {
|
||
if (typeof e == "object") {
|
||
result = result.concat(f(e[1], prefix + e[0] + "/"))
|
||
} else {
|
||
if (filter == "" || e == filter) {
|
||
result.push(prefix + e)
|
||
}
|
||
}
|
||
})
|
||
return result
|
||
}
|
||
return f(modelsOptions[type], "")
|
||
}
|
||
|
||
function onUseAsThumbnailClick(req, img) {
|
||
let scale = 1
|
||
let targetWidth = img.naturalWidth
|
||
let targetHeight = img.naturalHeight
|
||
let resize = false
|
||
onUseAsThumbnailClick.img = img
|
||
|
||
if (typeof onUseAsThumbnailClick.croppr == "undefined") {
|
||
onUseAsThumbnailClick.croppr = new Croppr("#use-as-thumb-image", {
|
||
aspectRatio: 1,
|
||
minSize: [384, 384, "px"],
|
||
startSize: [512, 512, "px"],
|
||
returnMode: "real",
|
||
})
|
||
}
|
||
|
||
if (img.naturalWidth > img.naturalHeight) {
|
||
if (img.naturalWidth > 768) {
|
||
scale = 768 / img.naturalWidth
|
||
targetWidth = 768
|
||
targetHeight = (img.naturalHeight * scale) >>> 0
|
||
resize = true
|
||
}
|
||
} else {
|
||
if (img.naturalHeight > 768) {
|
||
scale = 768 / img.naturalHeight
|
||
targetHeight = 768
|
||
targetWidth = (img.naturalWidth * scale) >>> 0
|
||
resize = true
|
||
}
|
||
}
|
||
|
||
onUseAsThumbnailClick.croppr.options.minSize = { width: (384 * scale) >>> 0, height: (384 * scale) >>> 0 }
|
||
onUseAsThumbnailClick.croppr.options.startSize = { width: (512 * scale) >>> 0, height: (512 * scale) >>> 0 }
|
||
|
||
if (resize) {
|
||
const canvas = document.createElement("canvas")
|
||
canvas.width = targetWidth
|
||
canvas.height = targetHeight
|
||
const ctx = canvas.getContext("2d")
|
||
ctx.drawImage(img, 0, 0, targetWidth, targetHeight)
|
||
|
||
onUseAsThumbnailClick.croppr.setImage(canvas.toDataURL("image/png"))
|
||
} else {
|
||
onUseAsThumbnailClick.croppr.setImage(img.src)
|
||
}
|
||
|
||
useAsThumbSelect.innerHTML=""
|
||
|
||
if ("use_embeddings_model" in req) {
|
||
let embeddings = req.use_embeddings_model.map((e) => e.split("/").pop())
|
||
|
||
let embOptions = document.createElement("optgroup")
|
||
embOptions.label = "Embeddings"
|
||
embOptions.replaceChildren(
|
||
...embeddings.map((e) => {
|
||
let option = document.createElement("option")
|
||
option.innerText = e
|
||
option.dataset["type"] = "embeddings"
|
||
return option
|
||
})
|
||
)
|
||
useAsThumbSelect.appendChild(embOptions)
|
||
}
|
||
|
||
|
||
if ("use_lora_model" in req) {
|
||
let LORA = req.use_lora_model
|
||
if (typeof LORA == "string") {
|
||
LORA = [LORA]
|
||
}
|
||
LORA = LORA.map((e) => e.split("/").pop())
|
||
|
||
let loraOptions = document.createElement("optgroup")
|
||
loraOptions.label = "LORA"
|
||
loraOptions.replaceChildren(
|
||
...LORA.map((e) => {
|
||
let option = document.createElement("option")
|
||
option.innerText = e
|
||
option.dataset["type"] = "lora"
|
||
return option
|
||
})
|
||
)
|
||
useAsThumbSelect.appendChild(loraOptions)
|
||
}
|
||
|
||
useAsThumbDialog.showModal()
|
||
onUseAsThumbnailClick.scale = scale
|
||
}
|
||
|
||
modalDialogCloseOnBackdropClick(useAsThumbDialog)
|
||
makeDialogDraggable(useAsThumbDialog)
|
||
|
||
useAsThumbDialogCloseBtn.addEventListener("click", () => {
|
||
useAsThumbDialog.close()
|
||
})
|
||
|
||
useAsThumbCancelBtn.addEventListener("click", () => {
|
||
useAsThumbDialog.close()
|
||
})
|
||
|
||
const Bucket = {
|
||
upload(path, blob) {
|
||
const formData = new FormData()
|
||
formData.append("file", blob)
|
||
return fetch(`bucket/${path}`, {
|
||
method: "POST",
|
||
body: formData,
|
||
})
|
||
},
|
||
|
||
getImageAsDataURL(path) {
|
||
return fetch(`bucket/${path}`)
|
||
.then((response) => {
|
||
if (response.status == 200) {
|
||
return response.blob()
|
||
} else {
|
||
throw new Error("Bucket error")
|
||
}
|
||
})
|
||
.then((blob) => {
|
||
return new Promise((resolve, reject) => {
|
||
const reader = new FileReader()
|
||
reader.onload = () => resolve(reader.result)
|
||
reader.onerror = reject
|
||
reader.readAsDataURL(blob)
|
||
})
|
||
})
|
||
},
|
||
|
||
getList(path) {
|
||
return fetch(`bucket/${path}`)
|
||
.then((response) => (response.status == 200 ? response.json() : []))
|
||
},
|
||
|
||
store(path, data) {
|
||
return Bucket.upload(`${path}.json`, JSON.stringify(data))
|
||
},
|
||
|
||
retrieve(path) {
|
||
return fetch(`bucket/${path}.json`)
|
||
.then((response) => (response.status == 200 ? response.json() : null))
|
||
},
|
||
}
|
||
|
||
useAsThumbSaveBtn.addEventListener("click", (e) => {
|
||
let scale = 1 / onUseAsThumbnailClick.scale
|
||
let crop = onUseAsThumbnailClick.croppr.getValue()
|
||
|
||
let len = Math.max(crop.width * scale, 384)
|
||
let profileName = profileNameField.value
|
||
|
||
cropImageDataUrl(onUseAsThumbnailClick.img.src, crop.x * scale, crop.y * scale, len, len)
|
||
.then((thumb) => fetch(thumb))
|
||
.then((response) => response.blob())
|
||
.then(async function(blob) {
|
||
let options = useAsThumbSelect.selectedOptions
|
||
let promises = []
|
||
for (let embedding of options) {
|
||
promises.push(
|
||
Bucket.upload(`${profileName}/${embedding.dataset["type"]}/${embedding.value}.png`, blob)
|
||
)
|
||
}
|
||
return Promise.all(promises)
|
||
})
|
||
.then(() => {
|
||
useAsThumbDialog.close()
|
||
document.dispatchEvent(new CustomEvent("saveThumb", { detail: useAsThumbSelect.selectedOptions }))
|
||
})
|
||
.catch((error) => {
|
||
console.error(error)
|
||
showToast("Couldn't save thumbnail.<br>" + error)
|
||
})
|
||
})
|
||
|
||
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 applyInlineFilter(filterName, path, filterParams, img, statusText, tools) {
|
||
const filterReq = {
|
||
image: img.src,
|
||
filter: filterName,
|
||
model_paths: {},
|
||
filter_params: filterParams,
|
||
output_format: outputFormatField.value,
|
||
output_quality: parseInt(outputQualityField.value),
|
||
output_lossless: outputLosslessField.checked,
|
||
}
|
||
filterReq.model_paths[filterName] = path
|
||
|
||
if (saveToDiskField.checked && diskPathField.value.trim() !== "") {
|
||
filterReq.save_to_disk_path = diskPathField.value.trim()
|
||
}
|
||
|
||
tools.spinnerStatus.innerText = statusText
|
||
tools.spinner.classList.remove("displayNone")
|
||
|
||
SD.filter(filterReq, (e) => {
|
||
if (e.status === "succeeded") {
|
||
let prevImg = img.src
|
||
img.src = e.output[0]
|
||
tools.spinner.classList.add("displayNone")
|
||
|
||
if (prevImg.length > 0) {
|
||
tools.undoBuffer.push(prevImg)
|
||
tools.redoBuffer = []
|
||
|
||
if (tools.undoBuffer.length > MAX_IMG_UNDO_ENTRIES) {
|
||
let n = tools.undoBuffer.length
|
||
tools.undoBuffer.splice(0, n - MAX_IMG_UNDO_ENTRIES)
|
||
}
|
||
|
||
tools.undoButton.classList.remove("displayNone")
|
||
tools.redoButton.classList.add("displayNone")
|
||
}
|
||
} else if (e.status == "failed") {
|
||
alert("Error running upscale: " + e.detail)
|
||
tools.spinner.classList.add("displayNone")
|
||
}
|
||
})
|
||
}
|
||
|
||
function moveImageBetweenBuffers(img, fromBuffer, toBuffer, fromButton, toButton) {
|
||
if (fromBuffer.length === 0) {
|
||
return
|
||
}
|
||
|
||
let src = fromBuffer.pop()
|
||
if (src.length > 0) {
|
||
toBuffer.push(img.src)
|
||
img.src = src
|
||
}
|
||
|
||
if (fromBuffer.length === 0) {
|
||
fromButton.classList.add("displayNone")
|
||
}
|
||
if (toBuffer.length > 0) {
|
||
toButton.classList.remove("displayNone")
|
||
}
|
||
}
|
||
|
||
function onUndoFilter(req, img, e, tools) {
|
||
moveImageBetweenBuffers(img, tools.undoBuffer, tools.redoBuffer, tools.undoButton, tools.redoButton)
|
||
}
|
||
|
||
function onRedoFilter(req, img, e, tools) {
|
||
moveImageBetweenBuffers(img, tools.redoBuffer, tools.undoBuffer, tools.redoButton, tools.undoButton)
|
||
}
|
||
|
||
function onUpscaleClick(req, img, e, tools) {
|
||
let path = upscaleModelField.value
|
||
let scale = parseInt(upscaleAmountField.value)
|
||
let filterName = path.toLowerCase().includes("realesrgan") ? "realesrgan" : "latent_upscaler"
|
||
let statusText = "Upscaling by " + scale + "x using " + filterName
|
||
applyInlineFilter(filterName, path, { scale: scale }, img, statusText, tools)
|
||
}
|
||
|
||
function onFixFacesClick(req, img, e, tools) {
|
||
let path = gfpganModelField.value
|
||
let filterName = path.toLowerCase().includes("gfpgan") ? "gfpgan" : "codeformer"
|
||
let statusText = "Fixing faces with " + filterName
|
||
applyInlineFilter(filterName, path, {}, img, statusText, tools)
|
||
}
|
||
|
||
function onContinueDrawingClick(req, img) {
|
||
enqueueImageVariationTask(req, img, {
|
||
num_inference_steps: parseInt(req.num_inference_steps) + 25,
|
||
})
|
||
}
|
||
|
||
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.')
|
||
seedField.classList.add("validation-failed")
|
||
return
|
||
}
|
||
seedField.classList.remove("validation-failed")
|
||
|
||
if (numInferenceStepsField.value == "") {
|
||
alert('The "Inference Steps" field must not be empty.')
|
||
numInferenceStepsField.classList.add("validation-failed")
|
||
return
|
||
}
|
||
numInferenceStepsField.classList.remove("validation-failed")
|
||
|
||
if (controlnetModelField.value === "" && IMAGE_REGEX.test(controlImagePreview.src)) {
|
||
alert("Please choose a ControlNet model, to use the ControlNet image.")
|
||
document.getElementById("controlnet_model").classList.add("validation-failed")
|
||
return
|
||
}
|
||
document.getElementById("controlnet_model").classList.remove("validation-failed")
|
||
|
||
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(setEmbeddings)
|
||
newTaskRequests.forEach(createTask)
|
||
|
||
updateInitialText()
|
||
|
||
const countBeforeBanner = localStorage.getItem("countBeforeBanner") || 1
|
||
if (countBeforeBanner <= 0) {
|
||
// supportBanner.classList.remove("displayNone")
|
||
} else {
|
||
localStorage.setItem("countBeforeBanner", countBeforeBanner - 1)
|
||
}
|
||
}
|
||
|
||
/* Hover effect for the init image in the task list */
|
||
function createInitImageHover(taskEntry, task) {
|
||
taskEntry.querySelectorAll(".task-initimg").forEach((thumb) => {
|
||
let thumbimg = thumb.querySelector("img")
|
||
let img = createElement("img", { src: thumbimg.src })
|
||
thumb.querySelector(".task-fs-initimage").appendChild(img)
|
||
let div = createElement("div", undefined, ["top-right"])
|
||
div.innerHTML = `
|
||
<button class="useAsInputBtn">Use as Input</button>
|
||
<br>
|
||
<button class="useForControlnetBtn">Use for Controlnet</button>
|
||
<br>
|
||
<button class="downloadPreviewImg">Download</button>`
|
||
div.querySelector(".useAsInputBtn").addEventListener("click", (e) => {
|
||
e.preventDefault()
|
||
onUseAsInputClick(null, img)
|
||
})
|
||
div.querySelector(".useForControlnetBtn").addEventListener("click", (e) => {
|
||
e.preventDefault()
|
||
controlImagePreview.src = img.src
|
||
})
|
||
div.querySelector(".downloadPreviewImg").addEventListener("click", (e) => {
|
||
e.preventDefault()
|
||
|
||
const name = "image." + task.reqBody["output_format"]
|
||
const blob = dataURItoBlob(img.src)
|
||
saveAs(blob, name)
|
||
})
|
||
thumb.querySelector(".task-fs-initimage").appendChild(div)
|
||
})
|
||
return
|
||
|
||
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}">${value}`
|
||
}
|
||
|
||
function getVisibleConfig(config, task) {
|
||
const mergedTaskConfig = { ...config.taskConfig, ...config.pluginTaskConfig }
|
||
return Object.keys(mergedTaskConfig)
|
||
.map((key) => {
|
||
const value = mergedTaskConfig?.[key]?.value?.(task) ?? task.reqBody[key]
|
||
const visible = mergedTaskConfig?.[key]?.visible?.(task) ?? value !== undefined ?? true
|
||
const label = mergedTaskConfig?.[key]?.label ?? mergedTaskConfig?.[key]
|
||
const cssKey = config.getCSSKey(key)
|
||
return { label, visible, value, cssKey }
|
||
})
|
||
.map((obj) => generateConfig(obj))
|
||
.filter((obj) => obj)
|
||
}
|
||
|
||
function createTaskConfig(task) {
|
||
return getVisibleConfig(taskConfigSetup, task).join("</span>, </div>")
|
||
}
|
||
|
||
function createTask(task) {
|
||
let taskConfig = ""
|
||
|
||
if (task.reqBody.init_image !== undefined) {
|
||
let h = 80
|
||
let w = ((task.reqBody.width * h) / task.reqBody.height) >> 0
|
||
taskConfig += `<div class="task-initimg init-img-preview" style="float:left;"><img style="width:${w}px;height:${h}px;" src="${task.reqBody.init_image}"><div class="task-fs-initimage"></div></div>`
|
||
}
|
||
if (task.reqBody.control_image !== undefined) {
|
||
let h = 80
|
||
let w = ((task.reqBody.width * h) / task.reqBody.height) >> 0
|
||
taskConfig += `<div class="task-initimg controlnet-img-preview" style="float:left;"><img style="width:${w}px;height:${h}px;" src="${task.reqBody.control_image}"><div class="task-fs-initimage"></div></div>`
|
||
}
|
||
|
||
taskConfig += `<div class="taskConfigData">${createTaskConfig(task)}</span></div></div>`
|
||
|
||
let taskEntry = document.createElement("div")
|
||
taskEntry.id = `imageTaskContainer-${Date.now()}`
|
||
taskEntry.className = "imageTaskContainer"
|
||
taskEntry.innerHTML = ` <div class="header-content panel collapsible active">
|
||
<i class="drag-handle fa-solid fa-grip"></i>
|
||
<div class="taskStatusLabel">Enqueued</div>
|
||
<button class="secondaryButton stopTask"><i class="fa-solid fa-xmark"></i> Cancel</button>
|
||
<button class="tertiaryButton useSettings"><i class="fa-solid fa-redo"></i> Use these settings</button>
|
||
<div class="preview-prompt"></div>
|
||
<div class="taskConfig">${taskConfig}</div>
|
||
<div class="outputMsg"></div>
|
||
<div class="progress-bar active"><div></div></div>
|
||
</div>
|
||
<div class="collapsible-content">
|
||
<div class="img-preview">
|
||
</div>`
|
||
|
||
if (task.reqBody.init_image !== undefined || task.reqBody.control_image !== undefined) {
|
||
createInitImageHover(taskEntry, task)
|
||
}
|
||
|
||
if (task.reqBody.control_image !== undefined && task.reqBody.control_filter_to_apply !== undefined) {
|
||
let req = {
|
||
image: task.reqBody.control_image,
|
||
filter: task.reqBody.control_filter_to_apply,
|
||
model_paths: {},
|
||
filter_params: {},
|
||
}
|
||
req["model_paths"][task.reqBody.control_filter_to_apply] = task.reqBody.control_filter_to_apply
|
||
|
||
task["previewTaskReq"] = req
|
||
}
|
||
|
||
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
|
||
})
|
||
|
||
task["taskConfig"] = taskEntry.querySelector(".taskConfig")
|
||
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, supportBanner.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)
|
||
let numOutputsParallel = parseInt(numOutputsParallelField.value)
|
||
const seed = randomSeedField.checked ? Math.floor(Math.random() * (2 ** 32 - 1)) : parseInt(seedField.value)
|
||
|
||
// if (
|
||
// testDiffusers.checked &&
|
||
// document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall" &&
|
||
// document.querySelector("#convert_to_tensorrt").checked
|
||
// ) {
|
||
// // TRT enabled
|
||
|
||
// numOutputsParallel = 1 // force 1 parallel
|
||
// }
|
||
|
||
// clamp to multiple of 8
|
||
let width = parseInt(widthField.value)
|
||
let height = parseInt(heightField.value)
|
||
width = width - (width % IMAGE_STEP_SIZE)
|
||
height = height - (height % IMAGE_STEP_SIZE)
|
||
|
||
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: width,
|
||
height: height,
|
||
// 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,
|
||
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.strict_mask_border = strictMaskBorderField.checked
|
||
}
|
||
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 loraModelData = loraModelField.value
|
||
let modelNames = loraModelData["modelNames"]
|
||
let modelStrengths = loraModelData["modelWeights"]
|
||
|
||
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
|
||
}
|
||
|
||
if (tilingField.value !== "none") {
|
||
newTask.reqBody.tiling = tilingField.value
|
||
}
|
||
newTask.reqBody.enable_vae_tiling = enableVAETilingField.checked
|
||
}
|
||
if (testDiffusers.checked && document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
|
||
// TRT is installed
|
||
newTask.reqBody.convert_to_tensorrt = document.querySelector("#convert_to_tensorrt").checked
|
||
let trtBuildConfig = {
|
||
batch_size_range: [
|
||
parseInt(document.querySelector("#trt-build-min-batch").value),
|
||
parseInt(document.querySelector("#trt-build-max-batch").value),
|
||
],
|
||
dimensions_range: [],
|
||
}
|
||
|
||
let sizes = [512, 768, 1024, 1280, 1536]
|
||
sizes.forEach((i) => {
|
||
let el = document.querySelector("#trt-build-res-" + i)
|
||
if (el.checked) {
|
||
trtBuildConfig["dimensions_range"].push([i, i + 256])
|
||
}
|
||
})
|
||
newTask.reqBody.trt_build_config = trtBuildConfig
|
||
}
|
||
if (controlnetModelField.value !== "" && IMAGE_REGEX.test(controlImagePreview.src)) {
|
||
newTask.reqBody.use_controlnet_model = controlnetModelField.value
|
||
newTask.reqBody.control_image = controlImagePreview.src
|
||
if (controlImageFilterField.value !== "") {
|
||
newTask.reqBody.control_filter_to_apply = controlImageFilterField.value
|
||
}
|
||
}
|
||
|
||
return newTask
|
||
}
|
||
|
||
function setEmbeddings(task) {
|
||
let prompt = task.reqBody.prompt
|
||
let negativePrompt = task.reqBody.negative_prompt
|
||
let overallPrompt = (prompt + " " + negativePrompt).toLowerCase()
|
||
overallPrompt = overallPrompt.replaceAll(/[^a-z0-9\-_\.]/g, " ") // only allow alpha-numeric, dots and hyphens
|
||
overallPrompt = overallPrompt.split(" ")
|
||
|
||
let embeddingsTree = modelsOptions["embeddings"]
|
||
let embeddings = []
|
||
function extract(entries, basePath = "") {
|
||
entries.forEach((e) => {
|
||
if (Array.isArray(e)) {
|
||
let path = basePath === "" ? basePath + e[0] : basePath + "/" + e[0]
|
||
extract(e[1], path)
|
||
} else {
|
||
let path = basePath === "" ? basePath + e : basePath + "/" + e
|
||
embeddings.push([e.toLowerCase().replace(" ", "_"), path])
|
||
}
|
||
})
|
||
}
|
||
extract(embeddingsTree)
|
||
|
||
let embeddingPaths = []
|
||
|
||
embeddings.forEach((e) => {
|
||
let token = e[0]
|
||
let path = e[1]
|
||
|
||
if (overallPrompt.includes(token)) {
|
||
embeddingPaths.push(path)
|
||
}
|
||
})
|
||
|
||
if (embeddingPaths.length > 0) {
|
||
task.reqBody.use_embeddings_model = embeddingPaths
|
||
}
|
||
}
|
||
|
||
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
|
||
}
|
||
|
||
function updateInitialText() {
|
||
if (document.querySelector(".imageTaskContainer") === null) {
|
||
if (undoBuffer.length > 0) {
|
||
initialText.prepend(undoButton)
|
||
}
|
||
previewTools.classList.add("displayNone")
|
||
initialText.classList.remove("displayNone")
|
||
supportBanner.classList.add("displayNone")
|
||
} else {
|
||
initialText.classList.add("displayNone")
|
||
previewTools.classList.remove("displayNone")
|
||
document.querySelector("div.display-settings").prepend(undoButton)
|
||
|
||
const countBeforeBanner = localStorage.getItem("countBeforeBanner") || 1
|
||
if (countBeforeBanner <= 0) {
|
||
supportBanner.classList.remove("displayNone")
|
||
}
|
||
}
|
||
}
|
||
|
||
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()
|
||
|
||
function onControlnetModelChange() {
|
||
let configBox = document.querySelector("#controlnet_config")
|
||
if (IMAGE_REGEX.test(controlImagePreview.src)) {
|
||
configBox.classList.remove("displayNone")
|
||
controlImageContainer.classList.remove("displayNone")
|
||
} else {
|
||
configBox.classList.add("displayNone")
|
||
controlImageContainer.classList.add("displayNone")
|
||
}
|
||
}
|
||
controlImagePreview.addEventListener("load", onControlnetModelChange)
|
||
controlImagePreview.addEventListener("unload", onControlnetModelChange)
|
||
onControlnetModelChange()
|
||
|
||
function onControlImageFilterChange() {
|
||
let filterId = controlImageFilterField.value
|
||
if (filterId.includes("openpose")) {
|
||
controlnetModelField.value = "control_v11p_sd15_openpose"
|
||
} else if (filterId === "canny") {
|
||
controlnetModelField.value = "control_v11p_sd15_canny"
|
||
} else if (filterId === "mlsd") {
|
||
controlnetModelField.value = "control_v11p_sd15_mlsd"
|
||
} else if (filterId === "mlsd") {
|
||
controlnetModelField.value = "control_v11p_sd15_mlsd"
|
||
} else if (filterId.includes("scribble")) {
|
||
controlnetModelField.value = "control_v11p_sd15_scribble"
|
||
} else if (filterId.includes("softedge")) {
|
||
controlnetModelField.value = "control_v11p_sd15_softedge"
|
||
} else if (filterId === "normal_bae") {
|
||
controlnetModelField.value = "control_v11p_sd15_normalbae"
|
||
} else if (filterId.includes("depth")) {
|
||
controlnetModelField.value = "control_v11f1p_sd15_depth"
|
||
} else if (filterId === "lineart_anime") {
|
||
controlnetModelField.value = "control_v11p_sd15s2_lineart_anime"
|
||
} else if (filterId.includes("lineart")) {
|
||
controlnetModelField.value = "control_v11p_sd15_lineart"
|
||
} else if (filterId === "shuffle") {
|
||
controlnetModelField.value = "control_v11e_sd15_shuffle"
|
||
} else if (filterId === "segment") {
|
||
controlnetModelField.value = "control_v11p_sd15_seg"
|
||
}
|
||
}
|
||
controlImageFilterField.addEventListener("change", onControlImageFilterChange)
|
||
onControlImageFilterChange()
|
||
|
||
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()
|
||
|
||
// warning: the core plugin `image-editor-improvements.js:172` replaces loadImg2ImgFromFile() with a custom version
|
||
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 = ""
|
||
strictMaskBorderSetting.style.display = maskSetting.checked ? "" : "none"
|
||
|
||
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"
|
||
strictMaskBorderSetting.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()
|
||
})
|
||
maskSetting.addEventListener("change", function() {
|
||
strictMaskBorderSetting.style.display = this.checked ? "" : "none"
|
||
})
|
||
|
||
promptsFromFileBtn.addEventListener("click", function() {
|
||
promptsFromFileSelector.click()
|
||
})
|
||
|
||
function loadControlnetImageFromFile() {
|
||
if (controlImageSelector.files.length === 0) {
|
||
return
|
||
}
|
||
|
||
let reader = new FileReader()
|
||
let file = controlImageSelector.files[0]
|
||
|
||
reader.addEventListener("load", function(event) {
|
||
controlImagePreview.src = reader.result
|
||
})
|
||
|
||
if (file) {
|
||
reader.readAsDataURL(file)
|
||
}
|
||
}
|
||
controlImageSelector.addEventListener("change", loadControlnetImageFromFile)
|
||
|
||
function controlImageLoad() {
|
||
let w = controlImagePreview.naturalWidth
|
||
let h = controlImagePreview.naturalHeight
|
||
w = w - (w % IMAGE_STEP_SIZE)
|
||
h = h - (h % IMAGE_STEP_SIZE)
|
||
|
||
addImageSizeOption(w)
|
||
addImageSizeOption(h)
|
||
|
||
widthField.value = w
|
||
heightField.value = h
|
||
widthField.dispatchEvent(new Event("change"))
|
||
heightField.dispatchEvent(new Event("change"))
|
||
}
|
||
controlImagePreview.addEventListener("load", controlImageLoad)
|
||
|
||
function controlImageUnload() {
|
||
controlImageSelector.value = null
|
||
controlImagePreview.src = ""
|
||
controlImagePreview.dispatchEvent(new Event("unload"))
|
||
}
|
||
controlImageClearBtn.addEventListener("click", controlImageUnload)
|
||
|
||
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")
|
||
}
|
||
|
||
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))
|
||
|
||
function onPing(event) {
|
||
tunnelUpdate(event)
|
||
packagesUpdate(event)
|
||
}
|
||
|
||
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"
|
||
}
|
||
}
|
||
|
||
function packagesUpdate(event) {
|
||
let trtBtn = document.getElementById("toggle-tensorrt-install")
|
||
let trtInstalled = "packages_installed" in event && "tensorrt" in event["packages_installed"]
|
||
|
||
if ("packages_installing" in event && event["packages_installing"].includes("tensorrt")) {
|
||
trtBtn.innerHTML = "Installing.."
|
||
trtBtn.disabled = true
|
||
} else {
|
||
trtBtn.innerHTML = trtInstalled ? "Uninstall" : "Install"
|
||
trtBtn.disabled = false
|
||
}
|
||
|
||
if (document.getElementById("toggle-tensorrt-install").innerHTML == "Uninstall") {
|
||
document.querySelector("#enable_trt_config").classList.remove("displayNone")
|
||
document.querySelector("#trt-build-config").classList.remove("displayNone")
|
||
}
|
||
}
|
||
|
||
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)
|
||
})
|
||
|
||
document.getElementById("toggle-tensorrt-install").addEventListener("click", function(e) {
|
||
if (this.disabled === true) {
|
||
return
|
||
}
|
||
|
||
let command = this.innerHTML.toLowerCase()
|
||
let self = this
|
||
|
||
shiftOrConfirm(
|
||
e,
|
||
"Are you sure you want to " + command + " TensorRT?",
|
||
async function() {
|
||
showToast(`TensorRT ${command} started. Please wait.`)
|
||
|
||
self.disabled = true
|
||
|
||
if (command === "install") {
|
||
self.innerHTML = "Installing.."
|
||
} else if (command === "uninstall") {
|
||
self.innerHTML = "Uninstalling.."
|
||
}
|
||
|
||
if (command === "installing..") {
|
||
alert("Already installing TensorRT!")
|
||
return
|
||
}
|
||
if (command !== "install" && command !== "uninstall") {
|
||
return
|
||
}
|
||
|
||
let res = await fetch("/package/tensorrt", {
|
||
method: "POST",
|
||
headers: {
|
||
"Content-Type": "application/json",
|
||
},
|
||
body: JSON.stringify({
|
||
command: command,
|
||
}),
|
||
})
|
||
res = await res.json()
|
||
|
||
self.disabled = false
|
||
|
||
if (res.status === "OK") {
|
||
alert("TensorRT " + command + "ed successfully!")
|
||
self.innerHTML = command === "install" ? "Uninstall" : "Install"
|
||
} else if (res.status_code === 500) {
|
||
alert("TensorselfRT failed to " + command + ": " + res.detail)
|
||
self.innerHTML = command === "install" ? "Install" : "Uninstall"
|
||
}
|
||
|
||
console.log(`Package ${command} result:`, res)
|
||
},
|
||
false
|
||
)
|
||
})
|
||
|
||
/* Embeddings */
|
||
|
||
addEmbeddingsThumb.addEventListener("click", (e) => addEmbeddingsThumbInput.click())
|
||
addEmbeddingsThumbInput.addEventListener("change", loadThumbnailImageFromFile)
|
||
|
||
function loadThumbnailImageFromFile() {
|
||
if (addEmbeddingsThumbInput.files.length === 0) {
|
||
return
|
||
}
|
||
|
||
let reader = new FileReader()
|
||
let file = addEmbeddingsThumbInput.files[0]
|
||
|
||
reader.addEventListener("load", function(event) {
|
||
let img = document.createElement("img")
|
||
img.src = reader.result
|
||
onUseAsThumbnailClick(
|
||
{
|
||
use_embeddings_model: getAllModelNames("embeddings").sort((a, b) =>
|
||
a.localeCompare(b, undefined, { sensitivity: "base" })
|
||
),
|
||
},
|
||
img
|
||
)
|
||
})
|
||
|
||
if (file) {
|
||
reader.readAsDataURL(file)
|
||
}
|
||
}
|
||
|
||
function updateEmbeddingsList(filter = "") {
|
||
function html(model, iconMap = {}, prefix = "", filter = "") {
|
||
filter = filter.toLowerCase()
|
||
let toplevel = document.createElement("div")
|
||
let folders = document.createElement("div")
|
||
|
||
let profileName = profileNameField.value
|
||
model?.forEach((m) => {
|
||
if (typeof m == "string") {
|
||
let token = m.toLowerCase()
|
||
if (token.search(filter) != -1) {
|
||
let button
|
||
let img = "/media/images/noimg.png"
|
||
if (token in iconMap) {
|
||
img = `/bucket/${profileName}/${iconMap[token]}`
|
||
}
|
||
button = createModifierCard(m, [img, img], true)
|
||
// }
|
||
button.dataset["embedding"] = m
|
||
button.addEventListener("click", onButtonClick)
|
||
toplevel.appendChild(button)
|
||
}
|
||
} else {
|
||
let subdir = html(m[1], iconMap, prefix + m[0] + "/", filter)
|
||
if (typeof subdir == "object") {
|
||
let div1 = document.createElement("div")
|
||
let div2 = document.createElement("div")
|
||
div1.classList.add("collapsible-content")
|
||
div1.classList.add("embedding-category")
|
||
div1.appendChild(subdir)
|
||
div2.replaceChildren(htmlToElement(`<h4 class="collapsible">${prefix}${m[0]}</h4>`), div1)
|
||
folders.appendChild(div2)
|
||
}
|
||
}
|
||
})
|
||
|
||
if (toplevel.children.length == 0 && folders.children.length == 0) {
|
||
// Empty folder
|
||
return ""
|
||
}
|
||
|
||
let result = document.createElement("div")
|
||
result.replaceChildren(toplevel, htmlToElement('<br style="clear: both;">'), folders)
|
||
return result
|
||
}
|
||
|
||
function onButtonClick(e) {
|
||
let text = e.target.closest("[data-embedding]").dataset["embedding"]
|
||
const insertIntoNegative = e.shiftKey || positiveEmbeddingText.classList.contains("displayNone")
|
||
|
||
if (embeddingsModeField.value == "insert") {
|
||
if (insertIntoNegative) {
|
||
insertAtCursor(negativePromptField, text)
|
||
} else {
|
||
insertAtCursor(promptField, text)
|
||
}
|
||
} else {
|
||
let pad = ""
|
||
if (insertIntoNegative) {
|
||
if (!negativePromptField.value.endsWith(" ")) {
|
||
pad = " "
|
||
}
|
||
negativePromptField.value += pad + text
|
||
} else {
|
||
if (!promptField.value.endsWith(" ")) {
|
||
pad = " "
|
||
}
|
||
promptField.value += pad + text
|
||
}
|
||
}
|
||
}
|
||
|
||
// Usually the rendering of the Embeddings HTML takes less than a second. In case it takes longer, show a spinner
|
||
embeddingsList.innerHTML = `
|
||
<div class="spinner-container">
|
||
<div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div>
|
||
<div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div>
|
||
<div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div>
|
||
<div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div> <div class="spinner-block"></div>
|
||
</div>
|
||
`
|
||
|
||
let loraTokens = []
|
||
let profileName = profileNameField.value
|
||
let iconMap = {}
|
||
|
||
Bucket.getList(`${profileName}/embeddings/`)
|
||
.then((icons) => {
|
||
iconMap = Object.assign(
|
||
{},
|
||
...icons.map((x) => ({
|
||
[x
|
||
.toLowerCase()
|
||
.split(".")
|
||
.slice(0, -1)
|
||
.join(".")]: `embeddings/${x}`,
|
||
}))
|
||
)
|
||
|
||
return Bucket.getList(`${profileName}/lora/`)
|
||
})
|
||
.then(async function (icons) {
|
||
for (let lora of loraModelField.value.modelNames) {
|
||
let keywords = await getLoraKeywords(lora)
|
||
loraTokens = loraTokens.concat(keywords)
|
||
let loraname = lora.split("/").pop()
|
||
|
||
if (icons.includes(`${loraname}.png`)) {
|
||
keywords.forEach((kw) => {
|
||
iconMap[kw.toLowerCase()] = `lora/${loraname}.png`
|
||
|
||
})
|
||
}
|
||
}
|
||
|
||
let tokenList = [...modelsOptions.embeddings]
|
||
if (loraTokens.length != 0) {
|
||
tokenList.unshift(['LORA Keywords', loraTokens])
|
||
}
|
||
embeddingsList.replaceChildren(html(tokenList, iconMap, "", filter))
|
||
createCollapsibles(embeddingsList)
|
||
if (filter != "") {
|
||
embeddingsExpandAll()
|
||
}
|
||
resizeModifierCards(embeddingsCardSizeSelector.value)
|
||
})
|
||
}
|
||
|
||
function showEmbeddingDialog() {
|
||
updateEmbeddingsList()
|
||
embeddingsSearchBox.value = ""
|
||
embeddingsDialog.showModal()
|
||
}
|
||
|
||
embeddingsButton.addEventListener("click", () => {
|
||
positiveEmbeddingText.classList.remove("displayNone")
|
||
negativeEmbeddingText.classList.add("displayNone")
|
||
showEmbeddingDialog()
|
||
})
|
||
|
||
negativeEmbeddingsButton.addEventListener("click", () => {
|
||
positiveEmbeddingText.classList.add("displayNone")
|
||
negativeEmbeddingText.classList.remove("displayNone")
|
||
showEmbeddingDialog()
|
||
})
|
||
|
||
embeddingsDialogCloseBtn.addEventListener("click", (e) => {
|
||
embeddingsDialog.close()
|
||
})
|
||
|
||
embeddingsSearchBox.addEventListener("input", (e) => {
|
||
updateEmbeddingsList(embeddingsSearchBox.value)
|
||
})
|
||
|
||
embeddingsCardSizeSelector.addEventListener("change", (e) => {
|
||
resizeModifierCards(embeddingsCardSizeSelector.value)
|
||
})
|
||
|
||
modalDialogCloseOnBackdropClick(embeddingsDialog)
|
||
makeDialogDraggable(embeddingsDialog)
|
||
|
||
const collapseText = "Collapse Categories"
|
||
const expandText = "Expand Categories"
|
||
|
||
const collapseIconClasses = ["fa-solid", "fa-square-minus"]
|
||
const expandIconClasses = ["fa-solid", "fa-square-plus"]
|
||
|
||
function embeddingsCollapseAll() {
|
||
const btnElem = embeddingsCollapsiblesBtn
|
||
|
||
const iconElem = btnElem.querySelector(".embeddings-action-icon")
|
||
const textElem = btnElem.querySelector(".embeddings-action-text")
|
||
collapseAll("#embeddings-list .collapsible")
|
||
|
||
collapsiblesBtnState = false
|
||
|
||
collapseIconClasses.forEach((c) => iconElem.classList.remove(c))
|
||
expandIconClasses.forEach((c) => iconElem.classList.add(c))
|
||
|
||
textElem.innerText = expandText
|
||
}
|
||
|
||
function embeddingsExpandAll() {
|
||
const btnElem = embeddingsCollapsiblesBtn
|
||
|
||
const iconElem = btnElem.querySelector(".embeddings-action-icon")
|
||
const textElem = btnElem.querySelector(".embeddings-action-text")
|
||
expandAll("#embeddings-list .collapsible")
|
||
|
||
collapsiblesBtnState = true
|
||
|
||
expandIconClasses.forEach((c) => iconElem.classList.remove(c))
|
||
collapseIconClasses.forEach((c) => iconElem.classList.add(c))
|
||
|
||
textElem.innerText = collapseText
|
||
}
|
||
|
||
embeddingsCollapsiblesBtn.addEventListener("click", (e) => {
|
||
if (collapsiblesBtnState) {
|
||
embeddingsCollapseAll()
|
||
} else {
|
||
embeddingsExpandAll()
|
||
}
|
||
})
|
||
|
||
/* 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
|
||
}
|
||
})
|
||
|
||
document.addEventListener("collapsibleClick", function(e) {
|
||
let header = e.detail
|
||
if (header === document.querySelector("#negative_prompt_handle")) {
|
||
if (header.classList.contains("active")) {
|
||
negativeEmbeddingsButton.classList.remove("displayNone")
|
||
} else {
|
||
negativeEmbeddingsButton.classList.add("displayNone")
|
||
}
|
||
}
|
||
})
|
||
|
||
createCollapsibles()
|
||
prettifyInputs(document)
|
||
|
||
// set the textbox as focused on start
|
||
promptField.focus()
|
||
promptField.selectionStart = promptField.value.length
|
||
|
||
////////////////////////////// Image Size Widget //////////////////////////////////////////
|
||
|
||
function roundToMultiple(number, n) {
|
||
if (n == "") {
|
||
n = 1
|
||
}
|
||
return Math.round(number / n) * n
|
||
}
|
||
|
||
function addImageSizeOption(size) {
|
||
let sizes = Object.values(widthField.options).map((o) => o.value)
|
||
if (!sizes.includes(String(size))) {
|
||
sizes.push(String(size))
|
||
sizes.sort((a, b) => Number(a) - Number(b))
|
||
|
||
let option = document.createElement("option")
|
||
option.value = size
|
||
option.text = `${size}`
|
||
|
||
widthField.add(option, sizes.indexOf(String(size)))
|
||
heightField.add(option.cloneNode(true), sizes.indexOf(String(size)))
|
||
}
|
||
}
|
||
|
||
function setImageWidthHeight(w, h) {
|
||
let step = customWidthField.step
|
||
w = roundToMultiple(w, step)
|
||
h = roundToMultiple(h, step)
|
||
|
||
addImageSizeOption(w)
|
||
addImageSizeOption(h)
|
||
|
||
widthField.value = w
|
||
heightField.value = h
|
||
widthField.dispatchEvent(new Event("change"))
|
||
heightField.dispatchEvent(new Event("change"))
|
||
}
|
||
|
||
function enlargeImageSize(factor) {
|
||
let step = customWidthField.step
|
||
|
||
let w = roundToMultiple(widthField.value * factor, step)
|
||
let h = roundToMultiple(heightField.value * factor, step)
|
||
customWidthField.value = w
|
||
customHeightField.value = h
|
||
}
|
||
|
||
let recentResolutionsValues = []
|
||
|
||
;(function() {
|
||
///// Init resolutions dropdown
|
||
|
||
function makeResolutionButtons(listElement, resolutionList) {
|
||
listElement.innerHTML = ""
|
||
resolutionList.forEach((el) => {
|
||
let button = createElement("button", { style: "width: 8em;" }, "tertiaryButton", `${el.w}×${el.h}`)
|
||
button.addEventListener("click", () => {
|
||
customWidthField.value = el.w
|
||
customHeightField.value = el.h
|
||
hidePopup()
|
||
})
|
||
listElement.appendChild(button)
|
||
listElement.appendChild(document.createElement("br"))
|
||
})
|
||
}
|
||
|
||
enlargeButtons.querySelectorAll("button").forEach((button) =>
|
||
button.addEventListener("click", (e) => {
|
||
enlargeImageSize(parseFloat(button.dataset["factor"]))
|
||
hidePopup()
|
||
})
|
||
)
|
||
|
||
customWidthField.addEventListener("change", () => {
|
||
let w = customWidthField.value
|
||
customWidthField.value = roundToMultiple(w, customWidthField.step)
|
||
if (w != customWidthField.value) {
|
||
showToast(`Rounded width to the closest multiple of ${customWidthField.step}.`)
|
||
}
|
||
})
|
||
|
||
customHeightField.addEventListener("change", () => {
|
||
let h = customHeightField.value
|
||
customHeightField.value = roundToMultiple(h, customHeightField.step)
|
||
if (h != customHeightField.value) {
|
||
showToast(`Rounded height to the closest multiple of ${customHeightField.step}.`)
|
||
}
|
||
})
|
||
|
||
makeImageBtn.addEventListener("click", () => {
|
||
let w = widthField.value
|
||
let h = heightField.value
|
||
|
||
recentResolutionsValues = recentResolutionsValues.filter((el) => el.w != w || el.h != h)
|
||
recentResolutionsValues.unshift({ w: w, h: h })
|
||
recentResolutionsValues = recentResolutionsValues.slice(0, 8)
|
||
|
||
localStorage.recentResolutionsValues = JSON.stringify(recentResolutionsValues)
|
||
makeResolutionButtons(recentResolutionList, recentResolutionsValues)
|
||
})
|
||
|
||
const defaultResolutionsValues = [
|
||
{ w: 512, h: 512 },
|
||
{ w: 448, h: 640 },
|
||
{ w: 512, h: 768 },
|
||
{ w: 768, h: 512 },
|
||
{ w: 1024, h: 768 },
|
||
{ w: 768, h: 1024 },
|
||
{ w: 1024, h: 1024 },
|
||
{ w: 1920, h: 1080 },
|
||
]
|
||
let _jsonstring = localStorage.recentResolutionsValues
|
||
if (_jsonstring == undefined) {
|
||
recentResolutionsValues = defaultResolutionsValues
|
||
localStorage.recentResolutionsValues = JSON.stringify(recentResolutionsValues)
|
||
} else {
|
||
recentResolutionsValues = JSON.parse(localStorage.recentResolutionsValues)
|
||
}
|
||
|
||
makeResolutionButtons(recentResolutionList, recentResolutionsValues)
|
||
makeResolutionButtons(commonResolutionList, defaultResolutionsValues)
|
||
|
||
recentResolutionsValues.forEach((val) => {
|
||
addImageSizeOption(val.w)
|
||
addImageSizeOption(val.h)
|
||
})
|
||
|
||
function processClick(e) {
|
||
if (!recentResolutionsPopup.contains(e.target)) {
|
||
hidePopup()
|
||
}
|
||
}
|
||
|
||
function showPopup() {
|
||
customWidthField.value = widthField.value
|
||
customHeightField.value = heightField.value
|
||
recentResolutionsPopup.classList.remove("displayNone")
|
||
resizeSlider.value = 1
|
||
resizeSlider.dataset["w"] = widthField.value
|
||
resizeSlider.dataset["h"] = heightField.value
|
||
document.addEventListener("click", processClick)
|
||
}
|
||
|
||
function hidePopup() {
|
||
recentResolutionsPopup.classList.add("displayNone")
|
||
setImageWidthHeight(customWidthField.value, customHeightField.value)
|
||
document.removeEventListener("click", processClick)
|
||
}
|
||
|
||
recentResolutionsButton.addEventListener("click", (event) => {
|
||
if (recentResolutionsPopup.classList.contains("displayNone")) {
|
||
showPopup()
|
||
event.stopPropagation()
|
||
} else {
|
||
hidePopup()
|
||
}
|
||
})
|
||
|
||
resizeSlider.addEventListener("input", (e) => {
|
||
let w = parseInt(resizeSlider.dataset["w"])
|
||
let h = parseInt(resizeSlider.dataset["h"])
|
||
let factor = parseFloat(resizeSlider.value)
|
||
let step = customWidthField.step
|
||
|
||
customWidthField.value = roundToMultiple(w * factor * factor, step)
|
||
customHeightField.value = roundToMultiple(h * factor * factor, step)
|
||
})
|
||
|
||
resizeSlider.addEventListener("change", (e) => {
|
||
hidePopup()
|
||
})
|
||
|
||
swapWidthHeightButton.addEventListener("click", (event) => {
|
||
let temp = widthField.value
|
||
widthField.value = heightField.value
|
||
heightField.value = temp
|
||
})
|
||
})()
|
||
|
||
document.addEventListener("before_task_start", (e) => {
|
||
let task = e.detail.task
|
||
|
||
// Update the seed *before* starting the processing so it's retained if user stops the task
|
||
if (randomSeedField.checked) {
|
||
seedField.value = task.seed
|
||
}
|
||
})
|
||
|
||
document.addEventListener("after_task_start", (e) => {
|
||
renderButtons.style.display = "flex"
|
||
renameMakeImageButton()
|
||
updateInitialText()
|
||
})
|
||
|
||
document.addEventListener("on_task_step", (e) => {
|
||
showImages(e.detail.reqBody, e.detail.stepUpdate, e.detail.outputContainer, true)
|
||
})
|
||
|
||
document.addEventListener("on_render_task_success", (e) => {
|
||
showImages(e.detail.reqBody, e.detail.stepUpdate, e.detail.outputContainer, false)
|
||
})
|
||
|
||
document.addEventListener("on_render_task_fail", (e) => {
|
||
let task = e.detail.task
|
||
let stepUpdate = e.detail.stepUpdate
|
||
|
||
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 if (msg.includes("RuntimeError: output with shape [320, 320] doesn't match the broadcast shape")) {
|
||
msg += `<br/><br/>
|
||
<b>Reason</b>: You tried to use a LORA that was trained for a different Stable Diffusion model version!
|
||
<br/><br/>
|
||
<b>Suggestions</b>:
|
||
<br/>
|
||
Try to use a different model or a different LORA.`
|
||
} else if (msg.includes("'ModuleList' object has no attribute '1'")) {
|
||
msg += `<br/><br/>
|
||
<b>Reason</b>: SDXL models need a yaml config file.
|
||
<br/><br/>
|
||
<b>Suggestions</b>:
|
||
<br/>
|
||
<ol>
|
||
<li>Download the <a href="https://gist.githubusercontent.com/JeLuF/5dc56e7a3a6988265c423f464d3cbdd3/raw/4ba4c39b1c7329877ad7a39c8c8a077ea4b53d11/dreamshaperXL10_alpha2Xl10.yaml" target="_blank">config file</a></li>
|
||
<li>Save it in the same directory as the SDXL model file</li>
|
||
<li>Rename the config file so that it matches the filename of the model, with the extension of the model file replaced by <tt>yaml</tt>.
|
||
For example, if the model file is called <tt>FantasySDXL_v2.safetensors</tt>, the config file must be called <tt>FantasySDXL_v2.yaml</tt>.
|
||
</ol>`
|
||
}
|
||
} else {
|
||
msg = `Unexpected Read Error:<br/><pre>StepUpdate: ${JSON.stringify(stepUpdate, undefined, 4)}</pre>`
|
||
}
|
||
logError(msg, stepUpdate, outputMsg)
|
||
})
|
||
|
||
document.addEventListener("on_all_tasks_complete", (e) => {
|
||
renderButtons.style.display = "none"
|
||
renameMakeImageButton()
|
||
|
||
if (isSoundEnabled()) {
|
||
playSound()
|
||
}
|
||
})
|