mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-12-24 16:08:55 +01:00
649 lines
23 KiB
JavaScript
649 lines
23 KiB
JavaScript
"use strict" // Opt in to a restricted variant of JavaScript
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const EXT_REGEX = /(?:\.([^.]+))?$/
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const TEXT_EXTENSIONS = ['txt', 'json']
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const IMAGE_EXTENSIONS = ['jpg', 'jpeg', 'png', 'bmp', 'tiff', 'tif', 'tga', 'webp']
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function parseBoolean(stringValue) {
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if (typeof stringValue === 'boolean') {
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return stringValue
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}
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if (typeof stringValue === 'number') {
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return stringValue !== 0
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}
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if (typeof stringValue !== 'string') {
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return false
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}
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switch(stringValue?.toLowerCase()?.trim()) {
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case "true":
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case "yes":
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case "on":
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case "1":
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return true;
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case "false":
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case "no":
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case "off":
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case "0":
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case "none":
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case null:
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case undefined:
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return false;
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}
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try {
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return Boolean(JSON.parse(stringValue));
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} catch {
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return Boolean(stringValue)
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}
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}
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const TASK_MAPPING = {
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prompt: { name: 'Prompt',
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setUI: (prompt) => {
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promptField.value = prompt
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},
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readUI: () => promptField.value,
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parse: (val) => val
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},
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negative_prompt: { name: 'Negative Prompt',
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setUI: (negative_prompt) => {
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negativePromptField.value = negative_prompt
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},
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readUI: () => negativePromptField.value,
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parse: (val) => val
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},
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active_tags: { name: "Image Modifiers",
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setUI: (active_tags) => {
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refreshModifiersState(active_tags)
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},
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readUI: () => activeTags.map(x => x.name),
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parse: (val) => val
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},
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inactive_tags: { name: "Inactive Image Modifiers",
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setUI: (inactive_tags) => {
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refreshInactiveTags(inactive_tags)
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},
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readUI: () => activeTags.filter(tag => tag.inactive === true).map(x => x.name),
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parse: (val) => val
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},
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width: { name: 'Width',
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setUI: (width) => {
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const oldVal = widthField.value
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widthField.value = width
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if (!widthField.value) {
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widthField.value = oldVal
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}
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},
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readUI: () => parseInt(widthField.value),
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parse: (val) => parseInt(val)
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},
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height: { name: 'Height',
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setUI: (height) => {
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const oldVal = heightField.value
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heightField.value = height
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if (!heightField.value) {
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heightField.value = oldVal
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}
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},
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readUI: () => parseInt(heightField.value),
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parse: (val) => parseInt(val)
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},
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seed: { name: 'Seed',
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setUI: (seed) => {
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if (!seed) {
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randomSeedField.checked = true
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seedField.disabled = true
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seedField.value = 0
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return
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}
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randomSeedField.checked = false
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randomSeedField.dispatchEvent(new Event('change')) // let plugins know that the state of the random seed toggle changed
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seedField.disabled = false
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seedField.value = seed
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},
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readUI: () => parseInt(seedField.value), // just return the value the user is seeing in the UI
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parse: (val) => parseInt(val)
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},
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num_inference_steps: { name: 'Steps',
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setUI: (num_inference_steps) => {
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numInferenceStepsField.value = num_inference_steps
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},
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readUI: () => parseInt(numInferenceStepsField.value),
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parse: (val) => parseInt(val)
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},
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guidance_scale: { name: 'Guidance Scale',
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setUI: (guidance_scale) => {
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guidanceScaleField.value = guidance_scale
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updateGuidanceScaleSlider()
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},
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readUI: () => parseFloat(guidanceScaleField.value),
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parse: (val) => parseFloat(val)
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},
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prompt_strength: { name: 'Prompt Strength',
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setUI: (prompt_strength) => {
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promptStrengthField.value = prompt_strength
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updatePromptStrengthSlider()
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},
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readUI: () => parseFloat(promptStrengthField.value),
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parse: (val) => parseFloat(val)
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},
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init_image: { name: 'Initial Image',
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setUI: (init_image) => {
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initImagePreview.src = init_image
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},
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readUI: () => initImagePreview.src,
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parse: (val) => val
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},
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mask: { name: 'Mask',
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setUI: (mask) => {
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setTimeout(() => { // add a delay to insure this happens AFTER the main image loads (which reloads the inpainter)
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imageInpainter.setImg(mask)
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}, 250)
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maskSetting.checked = Boolean(mask)
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},
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readUI: () => (maskSetting.checked ? imageInpainter.getImg() : undefined),
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parse: (val) => val
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},
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preserve_init_image_color_profile: { name: 'Preserve Color Profile',
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setUI: (preserve_init_image_color_profile) => {
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applyColorCorrectionField.checked = parseBoolean(preserve_init_image_color_profile)
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},
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readUI: () => applyColorCorrectionField.checked,
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parse: (val) => parseBoolean(val)
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},
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use_face_correction: { name: 'Use Face Correction',
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setUI: (use_face_correction) => {
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const oldVal = gfpganModelField.value
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gfpganModelField.value = getModelPath(use_face_correction, ['.pth'])
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if (gfpganModelField.value) { // Is a valid value for the field.
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useFaceCorrectionField.checked = true
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gfpganModelField.disabled = false
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} else { // Not a valid value, restore the old value and disable the filter.
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gfpganModelField.disabled = true
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gfpganModelField.value = oldVal
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useFaceCorrectionField.checked = false
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}
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//useFaceCorrectionField.checked = parseBoolean(use_face_correction)
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},
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readUI: () => (useFaceCorrectionField.checked ? gfpganModelField.value : undefined),
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parse: (val) => val
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},
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use_upscale: { name: 'Use Upscaling',
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setUI: (use_upscale) => {
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const oldVal = upscaleModelField.value
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upscaleModelField.value = getModelPath(use_upscale, ['.pth'])
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if (upscaleModelField.value) { // Is a valid value for the field.
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useUpscalingField.checked = true
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upscaleModelField.disabled = false
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upscaleAmountField.disabled = false
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} else { // Not a valid value, restore the old value and disable the filter.
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upscaleModelField.disabled = true
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upscaleAmountField.disabled = true
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upscaleModelField.value = oldVal
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useUpscalingField.checked = false
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}
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},
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readUI: () => (useUpscalingField.checked ? upscaleModelField.value : undefined),
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parse: (val) => val
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},
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upscale_amount: { name: 'Upscale By',
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setUI: (upscale_amount) => {
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upscaleAmountField.value = upscale_amount
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},
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readUI: () => upscaleAmountField.value,
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parse: (val) => val
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},
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sampler_name: { name: 'Sampler',
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setUI: (sampler_name) => {
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samplerField.value = sampler_name
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},
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readUI: () => samplerField.value,
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parse: (val) => val
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},
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use_stable_diffusion_model: { name: 'Stable Diffusion model',
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setUI: (use_stable_diffusion_model) => {
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const oldVal = stableDiffusionModelField.value
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use_stable_diffusion_model = getModelPath(use_stable_diffusion_model, ['.ckpt', '.safetensors'])
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stableDiffusionModelField.value = use_stable_diffusion_model
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if (!stableDiffusionModelField.value) {
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stableDiffusionModelField.value = oldVal
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}
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},
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readUI: () => stableDiffusionModelField.value,
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parse: (val) => val
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},
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use_vae_model: { name: 'VAE model',
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setUI: (use_vae_model) => {
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const oldVal = vaeModelField.value
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use_vae_model = (use_vae_model === undefined || use_vae_model === null || use_vae_model === 'None' ? '' : use_vae_model)
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if (use_vae_model !== '') {
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use_vae_model = getModelPath(use_vae_model, ['.vae.pt', '.ckpt'])
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use_vae_model = use_vae_model !== '' ? use_vae_model : oldVal
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}
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vaeModelField.value = use_vae_model
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},
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readUI: () => vaeModelField.value,
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parse: (val) => val
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},
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use_lora_model: { name: 'LoRA model',
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setUI: (use_lora_model) => {
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const oldVal = loraModelField.value
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use_lora_model = (use_lora_model === undefined || use_lora_model === null || use_lora_model === 'None' ? '' : use_lora_model)
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if (use_lora_model !== '') {
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use_lora_model = getModelPath(use_lora_model, ['.ckpt', '.safetensors'])
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use_lora_model = use_lora_model !== '' ? use_lora_model : oldVal
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}
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loraModelField.value = use_lora_model
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},
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readUI: () => loraModelField.value,
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parse: (val) => val
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},
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lora_alpha: { name: 'LoRA Strength',
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setUI: (lora_alpha) => {
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loraAlphaField.value = lora_alpha
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updateLoraAlphaSlider()
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},
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readUI: () => parseFloat(loraAlphaField.value),
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parse: (val) => parseFloat(val)
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},
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use_hypernetwork_model: { name: 'Hypernetwork model',
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setUI: (use_hypernetwork_model) => {
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const oldVal = hypernetworkModelField.value
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use_hypernetwork_model = (use_hypernetwork_model === undefined || use_hypernetwork_model === null || use_hypernetwork_model === 'None' ? '' : use_hypernetwork_model)
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if (use_hypernetwork_model !== '') {
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use_hypernetwork_model = getModelPath(use_hypernetwork_model, ['.pt'])
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use_hypernetwork_model = use_hypernetwork_model !== '' ? use_hypernetwork_model : oldVal
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}
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hypernetworkModelField.value = use_hypernetwork_model
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hypernetworkModelField.dispatchEvent(new Event('change'))
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},
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readUI: () => hypernetworkModelField.value,
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parse: (val) => val
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},
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hypernetwork_strength: { name: 'Hypernetwork Strength',
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setUI: (hypernetwork_strength) => {
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hypernetworkStrengthField.value = hypernetwork_strength
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updateHypernetworkStrengthSlider()
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},
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readUI: () => parseFloat(hypernetworkStrengthField.value),
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parse: (val) => parseFloat(val)
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},
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num_outputs: { name: 'Parallel Images',
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setUI: (num_outputs) => {
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numOutputsParallelField.value = num_outputs
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},
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readUI: () => parseInt(numOutputsParallelField.value),
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parse: (val) => val
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},
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use_cpu: { name: 'Use CPU',
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setUI: (use_cpu) => {
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useCPUField.checked = use_cpu
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},
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readUI: () => useCPUField.checked,
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parse: (val) => val
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},
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stream_image_progress: { name: 'Stream Image Progress',
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setUI: (stream_image_progress) => {
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streamImageProgressField.checked = (parseInt(numOutputsTotalField.value) > 50 ? false : stream_image_progress)
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},
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readUI: () => streamImageProgressField.checked,
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parse: (val) => Boolean(val)
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},
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show_only_filtered_image: { name: 'Show only the corrected/upscaled image',
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setUI: (show_only_filtered_image) => {
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showOnlyFilteredImageField.checked = show_only_filtered_image
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},
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readUI: () => showOnlyFilteredImageField.checked,
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parse: (val) => Boolean(val)
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},
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output_format: { name: 'Output Format',
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setUI: (output_format) => {
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outputFormatField.value = output_format
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},
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readUI: () => outputFormatField.value,
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parse: (val) => val
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},
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save_to_disk_path: { name: 'Save to disk path',
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setUI: (save_to_disk_path) => {
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saveToDiskField.checked = Boolean(save_to_disk_path)
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diskPathField.value = save_to_disk_path
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},
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readUI: () => diskPathField.value,
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parse: (val) => val
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}
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}
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function restoreTaskToUI(task, fieldsToSkip) {
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fieldsToSkip = fieldsToSkip || []
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if ('numOutputsTotal' in task) {
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numOutputsTotalField.value = task.numOutputsTotal
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}
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if ('seed' in task) {
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randomSeedField.checked = false
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seedField.value = task.seed
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}
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if (!('reqBody' in task)) {
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return
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}
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for (const key in TASK_MAPPING) {
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if (key in task.reqBody && !fieldsToSkip.includes(key)) {
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TASK_MAPPING[key].setUI(task.reqBody[key])
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}
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}
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// properly reset fields not present in the task
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if (!('use_hypernetwork_model' in task.reqBody)) {
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hypernetworkModelField.value = ""
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hypernetworkModelField.dispatchEvent(new Event("change"))
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}
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if (!('use_lora_model' in task.reqBody)) {
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loraModelField.value = ""
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loraModelField.dispatchEvent(new Event("change"))
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}
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// restore the original prompt if provided (e.g. use settings), fallback to prompt as needed (e.g. copy/paste or d&d)
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promptField.value = task.reqBody.original_prompt
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if (!('original_prompt' in task.reqBody)) {
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promptField.value = task.reqBody.prompt
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}
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// properly reset checkboxes
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if (!('use_face_correction' in task.reqBody)) {
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useFaceCorrectionField.checked = false
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gfpganModelField.disabled = true
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}
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if (!('use_upscale' in task.reqBody)) {
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useUpscalingField.checked = false
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}
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if (!('mask' in task.reqBody) && maskSetting.checked) {
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maskSetting.checked = false
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maskSetting.dispatchEvent(new Event("click"))
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}
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upscaleModelField.disabled = !useUpscalingField.checked
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upscaleAmountField.disabled = !useUpscalingField.checked
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// hide/show source picture as needed
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if (IMAGE_REGEX.test(initImagePreview.src) && task.reqBody.init_image == undefined) {
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// hide source image
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initImageClearBtn.dispatchEvent(new Event("click"))
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}
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else if (task.reqBody.init_image !== undefined) {
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// listen for inpainter loading event, which happens AFTER the main image loads (which reloads the inpainter)
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initImagePreview.addEventListener('load', function() {
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if (Boolean(task.reqBody.mask)) {
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imageInpainter.setImg(task.reqBody.mask)
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maskSetting.checked = true
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}
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}, { once: true })
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initImagePreview.src = task.reqBody.init_image
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}
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}
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function readUI() {
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const reqBody = {}
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for (const key in TASK_MAPPING) {
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reqBody[key] = TASK_MAPPING[key].readUI()
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}
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return {
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'numOutputsTotal': parseInt(numOutputsTotalField.value),
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'seed': TASK_MAPPING['seed'].readUI(),
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'reqBody': reqBody
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}
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}
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function getModelPath(filename, extensions)
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{
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if (typeof filename !== "string") {
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return
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}
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let pathIdx
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if (filename.includes('/models/stable-diffusion/')) {
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pathIdx = filename.indexOf('/models/stable-diffusion/') + 25 // Linux, Mac paths
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}
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else if (filename.includes('\\models\\stable-diffusion\\')) {
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pathIdx = filename.indexOf('\\models\\stable-diffusion\\') + 25 // Linux, Mac paths
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}
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if (pathIdx >= 0) {
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filename = filename.slice(pathIdx)
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}
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extensions.forEach(ext => {
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if (filename.endsWith(ext)) {
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filename = filename.slice(0, filename.length - ext.length)
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}
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})
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return filename
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}
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const TASK_TEXT_MAPPING = {
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prompt: 'Prompt',
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width: 'Width',
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height: 'Height',
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seed: 'Seed',
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num_inference_steps: 'Steps',
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guidance_scale: 'Guidance Scale',
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prompt_strength: 'Prompt Strength',
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use_face_correction: 'Use Face Correction',
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use_upscale: 'Use Upscaling',
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upscale_amount: 'Upscale By',
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sampler_name: 'Sampler',
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negative_prompt: 'Negative Prompt',
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use_stable_diffusion_model: 'Stable Diffusion model',
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use_hypernetwork_model: 'Hypernetwork model',
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hypernetwork_strength: 'Hypernetwork Strength'
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}
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function parseTaskFromText(str) {
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const taskReqBody = {}
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const lines = str.split('\n')
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if (lines.length === 0) {
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return
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}
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// Prompt
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let knownKeyOnFirstLine = false
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for (let key in TASK_TEXT_MAPPING) {
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if (lines[0].startsWith(TASK_TEXT_MAPPING[key] + ':')) {
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knownKeyOnFirstLine = true
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break
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}
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}
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if (!knownKeyOnFirstLine) {
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taskReqBody.prompt = lines[0]
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console.log('Prompt:', taskReqBody.prompt)
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}
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for (const key in TASK_TEXT_MAPPING) {
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if (key in taskReqBody) {
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continue
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}
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const name = TASK_TEXT_MAPPING[key];
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let val = undefined
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const reName = new RegExp(`${name}\\ *:\\ *(.*)(?:\\r\\n|\\r|\\n)*`, 'igm')
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const match = reName.exec(str);
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if (match) {
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str = str.slice(0, match.index) + str.slice(match.index + match[0].length)
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val = match[1]
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}
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if (val !== undefined) {
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taskReqBody[key] = TASK_MAPPING[key].parse(val.trim())
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console.log(TASK_MAPPING[key].name + ':', taskReqBody[key])
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if (!str) {
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break
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}
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}
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}
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if (Object.keys(taskReqBody).length <= 0) {
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return undefined
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}
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const task = { reqBody: taskReqBody }
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if ('seed' in taskReqBody) {
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task.seed = taskReqBody.seed
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}
|
|
return task
|
|
}
|
|
|
|
async function parseContent(text) {
|
|
text = text.trim();
|
|
if (text.startsWith('{') && text.endsWith('}')) {
|
|
try {
|
|
const task = JSON.parse(text)
|
|
if (!('reqBody' in task)) { // support the format saved to the disk, by the UI
|
|
task.reqBody = Object.assign({}, task)
|
|
}
|
|
restoreTaskToUI(task)
|
|
return true
|
|
} catch (e) {
|
|
console.warn(`JSON text content couldn't be parsed.`, e)
|
|
}
|
|
return false
|
|
}
|
|
// Normal txt file.
|
|
const task = parseTaskFromText(text)
|
|
if (text.toLowerCase().includes('seed:') && task) { // only parse valid task content
|
|
restoreTaskToUI(task)
|
|
return true
|
|
} else {
|
|
console.warn(`Raw text content couldn't be parsed.`)
|
|
promptField.value = text
|
|
return false
|
|
}
|
|
}
|
|
|
|
async function readFile(file, i) {
|
|
console.log(`Event %o reading file[${i}]:${file.name}...`)
|
|
const fileContent = (await file.text()).trim()
|
|
return await parseContent(fileContent)
|
|
}
|
|
|
|
function dropHandler(ev) {
|
|
console.log('Content dropped...')
|
|
let items = []
|
|
|
|
if (ev?.dataTransfer?.items) { // Use DataTransferItemList interface
|
|
items = Array.from(ev.dataTransfer.items)
|
|
items = items.filter(item => item.kind === 'file')
|
|
items = items.map(item => item.getAsFile())
|
|
} else if (ev?.dataTransfer?.files) { // Use DataTransfer interface
|
|
items = Array.from(ev.dataTransfer.files)
|
|
}
|
|
|
|
items.forEach(item => {item.file_ext = EXT_REGEX.exec(item.name.toLowerCase())[1]})
|
|
|
|
let text_items = items.filter(item => TEXT_EXTENSIONS.includes(item.file_ext))
|
|
let image_items = items.filter(item => IMAGE_EXTENSIONS.includes(item.file_ext))
|
|
|
|
if (image_items.length > 0 && ev.target == initImageSelector) {
|
|
return // let the event bubble up, so that the Init Image filepicker can receive this
|
|
}
|
|
|
|
ev.preventDefault() // Prevent default behavior (Prevent file/content from being opened)
|
|
text_items.forEach(readFile)
|
|
}
|
|
function dragOverHandler(ev) {
|
|
console.log('Content in drop zone')
|
|
|
|
// Prevent default behavior (Prevent file/content from being opened)
|
|
ev.preventDefault()
|
|
|
|
ev.dataTransfer.dropEffect = "copy"
|
|
|
|
let img = new Image()
|
|
img.src = '//' + location.host + '/media/images/favicon-32x32.png'
|
|
ev.dataTransfer.setDragImage(img, 16, 16)
|
|
}
|
|
|
|
document.addEventListener("drop", dropHandler)
|
|
document.addEventListener("dragover", dragOverHandler)
|
|
|
|
const TASK_REQ_NO_EXPORT = [
|
|
"use_cpu",
|
|
"save_to_disk_path"
|
|
]
|
|
const resetSettings = document.getElementById('reset-image-settings')
|
|
|
|
function checkReadTextClipboardPermission (result) {
|
|
if (result.state != "granted" && result.state != "prompt") {
|
|
return
|
|
}
|
|
// PASTE ICON
|
|
const pasteIcon = document.createElement('i')
|
|
pasteIcon.className = 'fa-solid fa-paste section-button'
|
|
pasteIcon.innerHTML = `<span class="simple-tooltip top-left">Paste Image Settings</span>`
|
|
pasteIcon.addEventListener('click', async (event) => {
|
|
event.stopPropagation()
|
|
// Add css class 'active'
|
|
pasteIcon.classList.add('active')
|
|
// In 350 ms remove the 'active' class
|
|
asyncDelay(350).then(() => pasteIcon.classList.remove('active'))
|
|
|
|
// Retrieve clipboard content and try to parse it
|
|
const text = await navigator.clipboard.readText();
|
|
await parseContent(text)
|
|
})
|
|
resetSettings.parentNode.insertBefore(pasteIcon, resetSettings)
|
|
}
|
|
navigator.permissions.query({ name: "clipboard-read" }).then(checkReadTextClipboardPermission, (reason) => console.log('clipboard-read is not available. %o', reason))
|
|
|
|
document.addEventListener('paste', async (event) => {
|
|
if (event.target) {
|
|
const targetTag = event.target.tagName.toLowerCase()
|
|
// Disable when targeting input elements.
|
|
if (targetTag === 'input' || targetTag === 'textarea') {
|
|
return
|
|
}
|
|
}
|
|
const paste = (event.clipboardData || window.clipboardData).getData('text')
|
|
const selection = window.getSelection()
|
|
if (paste != "" && selection.toString().trim().length <= 0 && await parseContent(paste)) {
|
|
event.preventDefault()
|
|
return
|
|
}
|
|
})
|
|
|
|
// Adds a copy and a paste icon if the browser grants permission to write to clipboard.
|
|
function checkWriteToClipboardPermission (result) {
|
|
if (result.state != "granted" && result.state != "prompt") {
|
|
return
|
|
}
|
|
// COPY ICON
|
|
const copyIcon = document.createElement('i')
|
|
copyIcon.className = 'fa-solid fa-clipboard section-button'
|
|
copyIcon.innerHTML = `<span class="simple-tooltip top-left">Copy Image Settings</span>`
|
|
copyIcon.addEventListener('click', (event) => {
|
|
event.stopPropagation()
|
|
// Add css class 'active'
|
|
copyIcon.classList.add('active')
|
|
// In 350 ms remove the 'active' class
|
|
asyncDelay(350).then(() => copyIcon.classList.remove('active'))
|
|
const uiState = readUI()
|
|
TASK_REQ_NO_EXPORT.forEach((key) => delete uiState.reqBody[key])
|
|
if (uiState.reqBody.init_image && !IMAGE_REGEX.test(uiState.reqBody.init_image)) {
|
|
delete uiState.reqBody.init_image
|
|
delete uiState.reqBody.prompt_strength
|
|
}
|
|
navigator.clipboard.writeText(JSON.stringify(uiState, undefined, 4))
|
|
})
|
|
resetSettings.parentNode.insertBefore(copyIcon, resetSettings)
|
|
}
|
|
// Determine which access we have to the clipboard. Clipboard access is only available on localhost or via TLS.
|
|
navigator.permissions.query({ name: "clipboard-write" }).then(checkWriteToClipboardPermission, (e) => {
|
|
if (e instanceof TypeError && typeof navigator?.clipboard?.writeText === 'function') {
|
|
// Fix for firefox https://bugzilla.mozilla.org/show_bug.cgi?id=1560373
|
|
checkWriteToClipboardPermission({state:"granted"})
|
|
}
|
|
})
|