Stop paying hundreds per month for stock photos and custom design work—generate unlimited branded product images and marketing visuals in minutes using fine-tuned AI.
Looking Glass 1.1 is a Google Colab-based tool that simplifies fine-tuning ruDALL-E, a Russian-optimized image generation AI model. Instead of wrestling with complex machine learning setups, you upload your existing product photos or brand assets, run the tool, and within hours you have a custom AI model that generates unlimited variations—product shots from different angles, lifestyle images, seasonal variations, and marketing graphics—all matching your exact style and branding.
For small business owners, this means replacing expensive stock photo subscriptions ($200-500/year) and freelance designer costs ($500-2,000+ per project) with a one-time setup that pays for itself on the first campaign. Your team generates new visuals on-demand without waiting for revisions or managing external contractors.
E-commerce sellers managing 50+ SKUs, Shopify and Amazon sellers needing rapid product photography, marketing agencies producing client visuals on tight budgets, small product brands wanting lifestyle and seasonal campaign images, and Etsy shop owners who need variations without reshooting inventory.
Free. The tool runs on Google Colab's free compute resources. Optional: If you exceed free tier limits, Google Cloud credits start at $25/month.
A small e-commerce business typically spends $300-800/month on stock photos, professional photography, or designer time for product visuals. Looking Glass 1.1 eliminates these recurring costs after a one-time 2-3 hour setup investment. For a seller managing 100 products, generating 5 variations per product (500 images) would cost $1,500-3,000 through traditional means; with Looking Glass, it's free. Marketing teams save 10-15 hours per month on visual asset creation, equivalent to $1,500-2,500 in freelancer costs. Most small businesses recoup their time investment within the first campaign.