{"id":649,"date":"2025-08-26T05:44:13","date_gmt":"2025-08-26T05:44:13","guid":{"rendered":"https:\/\/pixai.art\/articles\/?p=649"},"modified":"2025-12-16T12:51:56","modified_gmt":"2025-12-16T12:51:56","slug":"dit-lora-training-guide-pixais-new-multi-version-support-and-dataset-reuse-features","status":"publish","type":"post","link":"https:\/\/pixai.art\/articles\/en\/dit-lora-training-guide-pixais-new-multi-version-support-and-dataset-reuse-features\/","title":{"rendered":"DiT LoRA Training Guide: PixAI&#8217;s New Multi-Version Support and Dataset Reuse Features"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The PixAI community has been eagerly awaiting enhanced LoRA support for DiT models, and it&#8217;s finally here! \ud83c\udf89 This guide will walk you through all the new features, including <strong>multi-version LoRA support<\/strong>, <strong>cost-saving dataset reuse<\/strong>, and best practices for <strong>DiT LoRA training<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83d\ude80 <strong>Full DiTLoRA Support<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">You can now seamlessly use and train LoRAs on DiT-based models, including the popular <a href=\"https:\/\/pixai.art\/ja\/model\/1884107375027888751\">Tsubaki<\/a> and <a href=\"https:\/\/pixai.art\/model\/1911477338694141481\">Serin<\/a> models. This opens up entirely new creative possibilities for your AI art generation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/pixai.art\/train-lora\" target=\"_blank\" rel=\"noreferrer noopener\">Start training<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"449\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7441-1024x449.jpg\" alt=\"\" class=\"wp-image-650\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7441-1024x449.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7441-300x131.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7441-768x337.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7441.jpg 1150w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83d\udd04 <strong>Multi-Version LoRA System<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">LoRAs on PixAI now support <strong>multiple versions<\/strong> under the same model card. That means instead of uploading a whole new model each time, you can manage multiple versions of your LoRA in one place. The multi-version support allows you to create new versions of existing LoRAs for different base models.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>To add a new version, open your model\u2019s detail page by clicking on the model, then select the <strong>icon in the top-right corner<\/strong>.<\/li>\n<\/ol>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"517\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1024x517.jpg\" alt=\"\" class=\"wp-image-651\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1024x517.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-300x151.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-768x388.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1536x775.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-2048x1033.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. On the detail page, click <strong>Add version<\/strong>.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"712\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7443-1024x712.jpg\" alt=\"\" class=\"wp-image-652\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7443-1024x712.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7443-300x209.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7443-768x534.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7443.jpg 1364w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">3. You\u2019ll be redirected to the LoRA training page, and once training is complete, the new version will be automatically added under the existing model.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"309\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-1024x309.jpg\" alt=\"\" class=\"wp-image-653\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-1024x309.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-300x91.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-768x232.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-1536x464.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7444-2048x619.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Switching Versions:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>On the model detail page, select a version and click &#8216;use this LoRA&#8217;\u2192 the compatible base model loads automatically.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"473\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-1024x473.jpg\" alt=\"\" class=\"wp-image-654\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-1024x473.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-300x139.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-768x355.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-1536x710.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7445-2048x947.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image alignright size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"534\" height=\"1024\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/545cbd8f-3cae-4785-8b12-6c6fea9357fe-534x1024.png\" alt=\"\" class=\"wp-image-661\" style=\"width:198px;height:auto\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/545cbd8f-3cae-4785-8b12-6c6fea9357fe-534x1024.png 534w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/545cbd8f-3cae-4785-8b12-6c6fea9357fe-157x300.png 157w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/545cbd8f-3cae-4785-8b12-6c6fea9357fe.png 622w\" sizes=\"auto, (max-width: 534px) 100vw, 534px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>On the <a href=\"https:\/\/pixai.art\/ja\/generator\/image\" target=\"_blank\" rel=\"noreferrer noopener\">generation panel<\/a>, after selecting a LoRA, you can switch between its supported base model versions.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"606\" height=\"452\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/adc63cec-0f1a-40a5-bf39-aaeae33a4cba.png\" alt=\"\" class=\"wp-image-662\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/adc63cec-0f1a-40a5-bf39-aaeae33a4cba.png 606w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/adc63cec-0f1a-40a5-bf39-aaeae33a4cba-300x224.png 300w\" sizes=\"auto, (max-width: 606px) 100vw, 606px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"561\" height=\"1024\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/b30628fb-37da-443c-928e-8eaab6362bd3-561x1024.png\" alt=\"\" class=\"wp-image-663\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/b30628fb-37da-443c-928e-8eaab6362bd3-561x1024.png 561w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/b30628fb-37da-443c-928e-8eaab6362bd3-164x300.png 164w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/b30628fb-37da-443c-928e-8eaab6362bd3.png 642w\" sizes=\"auto, (max-width: 561px) 100vw, 561px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\u267b\ufe0f <strong>Dataset Reuse with 50% Discount<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Instead of manually uploading the same images again, you can directly retrain using a dataset from a previous LoRA. Save both time and credits by reusing your previously uploaded datasets with an automatic 50% discount on training costs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How to Reuse a Dataset:<\/strong><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\">Method 1: Quick Reuse from Model Details<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Go to your personal LoRA list and select the model you want to update.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"517\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1024x517.jpg\" alt=\"\" class=\"wp-image-651\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1024x517.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-300x151.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-768x388.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-1536x775.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7442-2048x1033.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"wp-block-paragraph\">On the model detail page, click the <strong>three-dot menu (\u22ee)<\/strong> in the top-right corner and choose <strong>\u201cReuse Dataset.\u201d<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"505\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-1024x505.png\" alt=\"\" class=\"wp-image-664\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-1024x505.png 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-300x148.png 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-768x379.png 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-1536x757.png 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/image-2048x1009.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The system will automatically load the dataset from the latest version, and you\u2019ll receive a <strong>50% discount<\/strong> on training.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"303\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-1024x303.jpg\" alt=\"\" class=\"wp-image-655\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-1024x303.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-300x89.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-768x227.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-1536x455.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7446-2048x606.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"459\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.38.19-1024x459.png\" alt=\"\" class=\"wp-image-954\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.38.19-1024x459.png 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.38.19-300x134.png 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.38.19-768x344.png 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.38.19.png 1138w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Note:<\/strong> The 50% discount only applies when reusing the original dataset without changes. If you modify the dataset (for example, by adding or removing images) or create a new version with a completely new dataset, the discount will not apply.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"773\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-scaled.png\" alt=\"\" class=\"wp-image-965\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-scaled.png 2560w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-300x91.png 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-1024x309.png 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-768x232.png 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-1536x464.png 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/264b29a5-84fe-489d-a793-44538451ad0b-2048x619.png 2048w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"457\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.37.09-1024x457.png\" alt=\"\" class=\"wp-image-952\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.37.09-1024x457.png 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.37.09-300x134.png 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.37.09-768x343.png 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/Screenshot-2025-08-25-at-19.37.09.png 1130w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Method 2: Version-Specific Dataset Reuse<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019d like to reuse the dataset from a specific version (not just the latest one):<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8d39b2df wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Open the LoRA model\u2019s detail page and click <strong>\u201cEdit Model.\u201d<\/strong><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"758\" height=\"1024\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7448.jpg\" alt=\"\" class=\"wp-image-657\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7448.jpg 758w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7448-222x300.jpg 222w\" sizes=\"auto, (max-width: 758px) 100vw, 758px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Select the version whose dataset you want to reuse. You\u2019ll then be redirected to the training page, where the dataset from that version will be automatically loaded for you.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"349\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-1024x349.jpg\" alt=\"\" class=\"wp-image-658\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-1024x349.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-300x102.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-768x262.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-1536x524.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7449-2048x699.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">On the <strong>Edit Model<\/strong> page, you can also manage individual versions \u2014 for example, edit a version\u2019s details or archive it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2757\ufe0fAttention! Once a version is archived, it cannot be used and cannot be restored to its previous state.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"336\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-1024x336.jpg\" alt=\"\" class=\"wp-image-659\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-1024x336.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-300x98.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-768x252.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-1536x504.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7450-2048x672.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">In the <strong>Training Tasks<\/strong> section, you\u2019ll see the status of your training tasks. The estimated training time is displayed here, and you can also reuse their datasets directly from the <strong>Actions<\/strong> column.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Note: The waiting time shown is for reference only. Actual training duration may vary, and the initial estimate may be less accurate at the start of training.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"303\" src=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-1024x303.jpg\" alt=\"\" class=\"wp-image-660\" srcset=\"https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-1024x303.jpg 1024w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-300x89.jpg 300w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-768x227.jpg 768w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-1536x454.jpg 1536w, https:\/\/pixai.art\/articles\/wp-content\/uploads\/2025\/08\/IMG_7451-2048x605.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83d\udcda Important Training Guidelines for DiT LoRA<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Expected Training Time<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Be prepared for longer training times compared to previous models. DiT LoRA training typically takes approximately <strong>70 minutes<\/strong> to complete.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Trigger Word Best Practices<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Trigger words in PixAI\u2019s LoRA system are a little different from older SDXL workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here\u2019s our recommendation of how to structure them:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Character LoRAs:<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Follow this format: <code>character_name, source_work, other_attributes<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Example:<\/strong><code>hatsune_miku, vocaloid, etc<\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>For Style\/Concept LoRAs:<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Focus on core shared characteristics:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Example:<\/strong><code>ink<\/code><code>_<\/code><code>wash<\/code><code>_<\/code><code>style<\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>General Guidelines:<\/strong>\n<ul class=\"wp-block-list\">\n<li>Keep trigger words concise and focused<\/li>\n\n\n\n<li>Avoid overly long or complex trigger phrases<\/li>\n\n\n\n<li>Identify the most essential common features<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Recommended Dataset Specifications<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Image Count:<\/strong> 30-100 images for optimal results<\/li>\n\n\n\n<li><strong>Image Quality:<\/strong> Ensure images share common characteristics<\/li>\n\n\n\n<li><strong>Image Size:<\/strong> Keep dimensions consistent across your dataset<\/li>\n\n\n\n<li><strong>Cohesion:<\/strong> Images should have clear thematic or stylistic unity<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">Start exploring these features today, and don&#8217;t forget to share your creations with the PixAI community. The future of DiT LoRA is here, and it&#8217;s ready to be explored!<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-b7c91e0b wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/pixai.art\/train-lora\" target=\"_blank\" rel=\"noreferrer noopener\">Start Training<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The PixAI community has been eagerly awaiting enhanced LoRA support for DiT models, and it&#8217;s finally here! \ud83c\udf89 This guide will walk you through all the new features, including multi-version LoRA support, cost-saving dataset reuse, and best practices for DiT LoRA training. \ud83d\ude80 Full DiTLoRA Support You can now seamlessly use and train LoRAs on [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1044,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[260,242],"tags":[145],"class_list":["post-649","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-models-loras","category-creationtutorials","tag-en"],"_links":{"self":[{"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/posts\/649","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/comments?post=649"}],"version-history":[{"count":9,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/posts\/649\/revisions"}],"predecessor-version":[{"id":966,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/posts\/649\/revisions\/966"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/media\/1044"}],"wp:attachment":[{"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/media?parent=649"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/categories?post=649"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pixai.art\/articles\/wp-json\/wp\/v2\/tags?post=649"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}