What's great
Feature | My Rating (Out of 10) | Why It's Fantastic |
AI Background Generator | 9 | The key differentiator. The scenes are stunningly realistic and perfect for the modern Etsy aesthetic. It eliminates the need for stock photos. |
Easy to Use | 9 | The interface is intuitive, and the learning curve is minimal. A new user can get a great result in minutes. |
Efficient Workflow | 9 | The speed is unparalleled. It truly is a huge time saver for small businesses and solo founders. |
High Quality Output | 7 | The resolution and lighting fidelity are superb, ready for high-resolution display on e-commerce sites. |
Supports Small Businesses | 10 | I genuinely believe this levels the playing field for small businesses that can't afford professional photography. |
What needs improvement
While I'm incredibly proud of the launch of X-Design 2.0, my focus (and the team's) is already on how to make it even better.
The most critical area we need to address is the stability and consistency of the High Quality Output.
Right now, the peak output quality is astonishingly good, but the challenge is ensuring that level of high fidelity is stable across all user inputs, especially when dealing with complex textures or lighting requests. We need to:
Improve Output Consistency: Users need to rely on the tool to produce the same aesthetic quality and style when using similar prompts or the same product across different background generations. If a user finds a look they love, they need to be able to replicate it reliably.
Increase Stability at High Resolution: Pushing the output to the highest resolution sometimes introduces minor artifacts or subtle inconsistencies that we need to eliminate to ensure every "high-quality" image is truly flawless and production-ready.
This is definitely the biggest technical hurdle for our next sprint, but tackling it is essential for solidifying X-Design as the industry leader.
If you have specific examples of inputs that have led to inconsistent or unstable high-quality results, please share them with me! Knowing those edge cases directly helps us train the models and stabilize the output. What specific material or scene consistency do you find the most challenging right now?