> IMHO giving a prompt to generate image is amazing but isn't a product because you can't actually produce useful stuff
Making art/weird pictures doesn't have to be useful, as that use case is the entire reason MJ/SD went viral.
Making art/weird pictures doesn't have to be useful, as that use case is the entire reason MJ/SD went viral.
MidJourney and others are actually useful for exploration but the outputs are not because they can't spit finished deliverables to the specs. No one is paying for a picture of Mermaid eating marmalade, trending on art station, beautiful face, sharp focus, octane 8k.
They are great for exploration, it's just that I don't believe this is the killer app for these tools. We will find out what's the killer app with Stable Diffusion because with Stable Diffusion people can experiment beyond entering some prompts.
I think a major problem is reproducibility and output controllability. Rolling the dice multiple time and using some of the outputs is not good enough for most applications.
Maybe this can be solved at some point but it's not at this moment. The advantage of Stable Diffusion is that it can be possible for someone to implement it, with OpenAI this feature doesn't exist and its not useful until they implement it.
It's the start of a product, but it's going to keep improving. Already with inpainting and outpainting we see some new possible uses. What NovelAI (which builds on Stable Diffusion) has shown so far of their upcoming release seems impressive, though it's hard to say how much of that is cherry picking.
> Rolling the dice multiple time and using some of the outputs is not good enough for most applications.
Hmm, is that true? I feel like most of the time art that companies want is something made far ahead of the consumer seeing it, so generating a 100 versions of something and picking the best seems fine, especially if you can then use inpainting and img2img to fine-tune it.
The inpainting plugins with Photoshop and Krita are already working absolute wonders.