SeaArt Guide
How to SeaArt AI - Office Tutorial
How to SeaArt AI - Office Tutorial
  • ✨How to Use an AI Image Generator
  • ✨1-SeaArt AI Basic Page
  • ✨2-SeaArt AI Basic Function
    • 2-1 Text to Image
    • 2-2 Image to Image
    • 2-3 ControlNet
    • 2-4 AI Apps
      • How to publish as App
      • Swift AI Apps
    • 2-5 AI Characters
      • How to create your own character?
      • Character Description Writing Tips
      • Conversation Tips
    • 2-6 Models
    • 2-7 Post
    • 2-8 AI Video Generation
      • Txt2Vid
      • Img2Vid
      • Camera Movement
      • Start and End Frames
    • 2-9 AI Audio
    • 2-10 Workflow
      • Text to Image Workflow
      • IMG2IMG+Partial Repainting
      • Core Nodes
      • Tips
    • 2-11 Canvas
    • 2-12 LoRA Training
      • Flux Lora Training
  • ✨3-Advanced Guide
    • 3-1 Principles of AI art
    • 3-2 LoRA Training (Advance)
      • How To Create Dataset For Training
    • 3-3 Workflow Guide
      • Image Conversion
      • Inpainting
    • 3-4 Canvas Guide
    • Composite Poster
  • ✨4-Parameters
    • 4-1 Model
    • 4-2 Mode
    • 4-3 Basic Settings
    • 4-4 Advanced Config
    • 4-5 Advanced Repair
    • 4-6 Complete Prompting Guide
    • 4-7 Prompt Edit | Keyword Blending Guide
  • ✨5-Practical Examples
    • AI Influencer
    • LOGO Design
    • E-commerce Poster
    • How To Make Multiple Characters
    • Prompt Templates
    • How to Maintain Character Consistency
    • Useful Prompts
  • ✨6-Permanent Events
    • SeaArt.AI Creator Incentive Program
      • Creator Incentive Program FAQ
    • High-Quality Models Recommendation
      • SeaArt Infinity
      • Stable Diffusion 3.5
      • SeaArt Realism
      • NOOBAI XL
      • T-Ponynai3 V6
      • Counterfeit V3.0
      • Temporal Paradox Mix
    • High-Quality AI Apps Recommendation
    • High-Quality Character Recommendation
    • High-Quality Workflow Recommendation
  • ✨7-FAQ
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On this page
  • Operation Process
  • Publish
  • Edit the Lora again
  • Take the Lora offline
  • Training the same Lora
  1. 2-SeaArt AI Basic Function

2-12 LoRA Training

Train your own LoRA models for AI art generation. Learn about dataset creation, image preprocessing, tagging, and publishing your trained LoRA. Let's dive in!

Previous2-11 CanvasNextFlux Lora Training

Last updated 4 months ago

Page entry: Click on "Train" in the upper left corner of the homepage to access the style training page.

Operation Process

  1. Create Dataset: Upload dataset images, ensuring diversity in angles, lighting, backgrounds, etc., with a recommended count of around 30 images.

  2. Image Preprocessing: Crop images, add taggers, and include trigger words.

    • Cropping Mod: Recommend focus cropping.

    • Size: Choose according to output requirements; Square: 512 * 512; Portrait: 512 * 768; Landscape: 768*512.

    • Tagging Algorithm: Recommend Deepbooru.

    • Tagging Threshold: Recommend 0.6.

    • Trigger Words (Optional): A word that invokes Lora.

  3. Choose preset parameters based on the trained Lora.

  4. Enter model preview prompt words, mainly to review Lora's outputs during training.

  5. Input the dataset name and click "Train Now".

*For detailed instructions on Tagging and advanced training parameter settings, click here.

Publish

  1. Click on Train -> LoRA -> Publish to view the trained Lora.

  2. Click on Publish, edit the Lora information, and fill in the relevant information as prompted, including LoraName, Tags (optional), Lora Cover, Model Usage, and Model Permissions.

Paid: When others use the model you published, you can receive corresponding Credits and get 70% of the Amount set.

  1. Edit Version:

Includes: VersionName, Base Model, Trigger Words, Version Introduction.

  1. Add image.

Upload the cover image for the LoRA and other showcase images.

  1. Return to the LoRA page and click "Public."

Edit the Lora again

Click on the Lora details page, then the three dots in the bottom right corner, and select "Edit.”

Take the Lora offline

After publishing the Lora, click on the Lora details page, then on the three dots in the bottom right corner, and select "Private.”

Training the same Lora

  1. Click on "Lora Training" on the homepage.

  2. Select any Lora template, then click on "Train" in the top right corner.

*You can modify parameters, datasets, etc., based on the same template.

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3-2 LoRA Training (Advance)