Custom LoRAs

Custom LoRAs

At the heart of ImagineoAI’s technology are custom LoRAs (Low-Rank Adaptations) specifically trained for your products. This page explains what LoRAs are, how we train them, and why they’re superior for B2B image generation.

What are LoRAs?

LoRA (Low-Rank Adaptation) is a technique for efficiently fine-tuning large AI models. Instead of modifying all the parameters in a large model (which would be extremely resource-intensive), LoRAs add small, trainable “adaptation” modules that specialize the model for specific purposes.

In simple terms, a LoRA teaches the AI to “see” and understand your products in exquisite detail.

How ImagineoAI Creates Custom LoRAs

Our LoRA training process involves several steps to ensure the highest quality results:

  1. Product Photography: We collect high-quality reference images of your products

  2. Data Preparation: We process and organize these images for optimal training

  3. Model Training: We fine-tune our base AI models using your product data, creating a custom LoRA that understands your products’ unique characteristics

  4. Testing and Refinement: We thoroughly test the LoRA and make adjustments to ensure it generates consistently accurate representations

  5. Deployment: We deploy the model to your account, ready for immediate use

Benefits of Custom LoRAs

Using custom LoRAs offers several advantages for businesses:

  • Product Accuracy: Generate images with exceptionally accurate representations of your products
  • Brand Consistency: Maintain consistent brand aesthetics across all generated images
  • Time Efficiency: Create multiple product visualizations in minutes instead of days
  • Cost Savings: Reduce the need for expensive photo shoots and manual editing
  • Creative Freedom: Place your products in any setting or context imaginable

How LoRAs Improve Image Generation

Standard AI image generators often struggle with specific products, creating images that look generic or have distorted details. Our custom LoRAs solve this problem by:

  1. Learning Product Geometry: Understanding the precise shape and structure of your products
  2. Capturing Textures: Accurately reproducing materials, finishes, and surface details
  3. Preserving Brand Elements: Maintaining logos, distinctive design features, and brand colors
  4. Adapting to Contexts: Properly placing your products in different environments
  5. Consistent Representation: Generating the same product accurately across multiple images

Technical Details

For those interested in the technical aspects:

  • Our LoRAs typically have a rank between 8 and 32, depending on product complexity
  • We utilize specialized training techniques to improve detail preservation
  • The models are optimized for both accuracy and inference speed
  • Each LoRA is approximately 20-150MB in size, making them efficient to deploy
  • We can combine multiple LoRAs in a single generation when needed

Using LoRAs in the Platform

When using the ImagineoAI platform, you’ll see your available custom LoRAs in the model selection dropdown. You can:

  • Select a specific LoRA for your generation
  • Adjust the LoRA weight to control its influence (higher values create more precise product representations)
  • Combine product prompts with detailed scene descriptions for creative compositions

Case Studies

Our custom LoRAs have helped businesses across various industries:

  • A furniture company created virtual showroom images for their entire catalog
  • A beverage brand visualized their drinks in seasonal settings for marketing campaigns
  • A fashion retailer generated lifestyle images featuring their latest collection
  • A tech company created instructional images showing their devices in use

Getting Your Custom LoRA

If you’re interested in developing a custom LoRA for your business, contact our sales team at sales@imagineoai.com. The process typically involves:

  1. An initial consultation to understand your product line
  2. Product photography collection or coordination
  3. Training period (usually 1-3 weeks depending on complexity)
  4. Testing and deployment to your account
  5. Training on effective prompt writing for your specific products
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