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Use the new lora models component while creating the render request
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@ -1640,7 +1640,9 @@ function getCurrentUserRequest() {
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newTask.reqBody.hypernetwork_strength = parseFloat(hypernetworkStrengthField.value)
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newTask.reqBody.hypernetwork_strength = parseFloat(hypernetworkStrengthField.value)
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}
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}
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if (testDiffusers.checked) {
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if (testDiffusers.checked) {
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let [modelNames, modelStrengths] = getModelInfo(loraModels)
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let loraModelData = loraModelField.value
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let modelNames = loraModelData["modelNames"]
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let modelStrengths = loraModelData["modelWeights"]
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if (modelNames.length > 0) {
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if (modelNames.length > 0) {
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modelNames = modelNames.length == 1 ? modelNames[0] : modelNames
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modelNames = modelNames.length == 1 ? modelNames[0] : modelNames
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@ -1717,17 +1719,6 @@ function setEmbeddings(task) {
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}
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}
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}
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}
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function getModelInfo(models) {
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let modelInfo = models.map((e) => [e[0].value, e[1].value])
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modelInfo = modelInfo.filter((e) => e[0].trim() !== "")
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modelInfo = modelInfo.map((e) => [e[0], parseFloat(e[1])])
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let modelNames = modelInfo.map((e) => e[0])
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let modelStrengths = modelInfo.map((e) => e[1])
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return [modelNames, modelStrengths]
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}
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function getPrompts(prompts) {
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function getPrompts(prompts) {
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if (typeof prompts === "undefined") {
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if (typeof prompts === "undefined") {
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prompts = promptField.value
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prompts = promptField.value
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