GusRuss89

Yeah we do use a print on demand service, and the main reason we use Shopify at all is because the printer (Printful) has a good Shopify app that handles all the product syncing and fulfillment automatically.

Shopify lets you choose which payment options you'll let customers check out with. Examples are Stripe, PayPal, Shopify Payments, Google Pay, etc. A Shopify account is enough to get started, you won't need to dabble with any APIs.

However, if you're wanting to sell digital products, it may not be the best option for you. I've had to do a bit of extra work to get it to work for my situation.

I basically use the API to create a checkout specific to the user's order, then listen to the webhook to fulfill the credits. Gateways are Shopify and PayPal. Shopify payments are in my bank account in a couple of days.

It's not very profitable, about a 10% margin after doing a lot of work to get costs down and sales up.

Yeah you can still buy prints but they're not manually retouched. You'll get product mockups and a buy option for your first 5 creations.

Yeah it would, but aside from the cost there are other benefits to cloud computation. It can be done in the background (i.e. it's ok to close your tab) and you can run multiple at once.

Style transfer on NightCafe has a bulk-create mode that has been used in the past to create 500+ creations at once and they all finished in 10 mins.

That one turned out well!

Yes I do, it's a bit of a hangover from the original business model of buying prints. Stripe would potentially be better for credits.

That's a good one!

Most of my regular users are artists who either use it for inspiration or use it to mix into their digital art. (NightCafe has been around for a while as a style transfer app).

It's rare that people buy prints. Most money comes from people buying credits.

It's not, but I can see why the "Graffiti sunset" would make you think that. It does seem to be two different images combined.

I won't claim to have a good knowledge of the inner workings, but basically CLIP will give a score for how well the image matches your prompt, and that's used as a loss function for the GAN.

On the Colab notebooks you can specify multiple prompts with different weights, in which case I assume it has multiple loss functions that it's trying to optimise for.

I'm more of a web app guy than a deep tech guy. Some of what I wrote can probably be corrected by someone with a better knowledge of the ML.

It doesn't support that yet, but it will soon.

I will build an interface for it rather than a prompt syntax. My target audience is a bit less technical than the average Google Colab user.