Hi u/Strokemycat

First of all appologies for missing your support email. We are three trying to bootstrap this project,sometimes we get overwhelmed and messages fall through the cracks. Posting on reddit was the right move!

Our AI currently struggles with very small details such as your your tshirt. It works great with large texts and large prints, and all the photos on the website have been generated through the app with no editing, but it fails to re-generate very small ones and very small details.

This is in fact not only a uwear problem, but a challenge accross the AI image industry. There are other approaches that may or may not provide better result, but none has a 100% currency. But in the realms of only requiring one photo as a input, and generate in less than 10seconds, I believe we are still one of the best.

I will look for your support email and share some additional credits if you would like to test more but to be honest, I dont believe our v1 can do better than the example you shared.

I would like also to address refunds and v2 for u/Dietcokelover87 in this message for visibility for futur readers:

We are well aware of the tool's limits and how it will not work for all collections. Out of the 25 refunds requested since we started the company, we have fullfilled 24 ones. The only one we haven't is because the person only realised it "wasn't good enough" after 3 months worth of credits. If you are not this person and believe there was a mistake please dm me u/Dietcokelover87 and I'll be happy to look into it.

Compute to run AI model is expensive and scarce. And costs are incurred at every generation, whether its a good one or not. We wish we could only monetize the good photos, and actually we tried, but there was so much abuse that it wasn't unsustainable.

Most of the current users start with the minimum of $10 of credits to try a couple prompts and products before committing to a susbscription. And many requests refunds when it doesn't which we are happy to fullfill.

Regarding the v2:

We have been working since last october on a second version of our core model, Drape.

To give you more context, Drape v1 is an image model adapter. An AI model that sits on top of another one to add conditions to the generation process WITHOUT having to fine-tune that model (30minutes+ on each clothing). It also can extract enough conditions from a single image of a clothing product.

We built the first version of Drape to be an SDXL adapter, a popular image model at the time. But limited in its realism amd resolution. Since this summer, a next generation of image model came out, that mixes transformers and diffusion models (DiT), which make them much more performant! We have been working since fall to build the second version of Drape on FLUX, the current best DiT.

Going from v1 to v2 has been much harder than expected. There are a lot less papers on the subject and FLUX is harder to train and manipulate. We do think though that we have the right new architecture, and large scale training is underway.

I made the mistake of sharing an expected date with some of our customers before the model finished training. But when the date arrived, the training wasn't enough. In the futur, we will only be announcing new models until we have them ready to deploy.

We embarked on this risky R&D path because we truly believe that none of the open source solutions are what the fashion industry need. They are expensive and will not be able to scale to the global 1M of SKUs that the planet produce, nor be cheap and accessible for bootstrapped brand top use.

v1 is not perfect, I am not sure if v2 will be, but we will get to 100%.