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by hahamrfunnyguy 1324 days ago
The idea of using stable diffusion to create a t-shirt is compelling, but the execution here leaves a lot to be desired.

Randomly, I picked the stencil style and went for "Man with beard base jumping from the Eiffel tower." It produced one really poor image. It wasn't stenciled looking at all.

Next I went for pop art and used the prompt "Frog riding a motorcycle". The art style looked like something that an 8 year old would draw, not Andy Warhol (which I believe is the artist in your screenshot).

So I think you have some work to do in taking the inputs from the user and crafting them into better SD prompts that generate outputs that look like t-shirt artwork and in the styles they're supposed to be. I'd also drop the voice prompt support, no added value here. Definitely would prefer to type it on my computer and mobile keyboards already have a voice-input button.
1 comments
mdaEyebot 1324 days ago
It's easier to get good results by generating 2-8 images for each prompt, picking the best result, using that as the starting point for a new run.

Tweak the parameters of how close the new image should be to the old one and the prompts, tweak the prompts to address problem areas in the image, generate another 2-8. Rinse and repeat until you have something decent.

I doubt that the really impressive SD images are coming from submitting a prompt once and taking that output. It's better than past open-source efforts like the mini dall-es, but it also still has a way to go before it can reliably produce good results on its own.

AI art on products is an interesting idea, but personally I would use a more fully-featued SD web UI to generate the image locally.

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robflynn 1324 days ago
This is one of those things where op needs to do something similar to what I think midjourney is doing and do prompt optimization.

They need to do some research into what additional prompt cues they can add for the user automatically to bring the user's prompt quality up.

They can append these to the prompt behind the scenes or provide a second text input of the additional prompt data to allow the user to modify that separately from their initial prompt input.

It might even help the user better understand how styling works with prompts.

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