you know enough about the model for me to immediately distrust your opinion on the matter. why don’t you head back to ycombinator or whatever hole you crawled out of
- Autoregressive model
- Multimodal with the LLM
- Can keep consistency between images
- Much better at text rendering
- Can combine images, like you have one image and you upload a picture of a jacket and say “put this on him” and it does it
- Can upload a picture of yourself and say “put me on the beach”, and then for example if you don’t like it you can tell it to do a different type of beach, and then say “and put me on a white horse and give me some nice beach wear” for example.
It understands what you’re telling it, and can generate images from vague descriptions, combine things from different images just by telling it, modify it and understand the context - like knowing that “me” is the person in the image, for example.
mad_djinn@lemmy.world 5 days ago
Ilixtze@lemm.ee 5 days ago
It is really sad that the most advanced model can only aspire to make derivative shit for techbro loosers,
YarHarSuperstar@lemmy.world 5 days ago
Okay so how does that compare to whatever competition you’re referencing
theterrasque@infosec.pub 5 days ago
No other model on market can do anything like that. The closest is diffusion based where you could train a lora with a person’s look or a specific clothing, then generate multiple times and / or use controlnet to sorta control the output. That’s fast hours or days of work, plus it’s quite technical to set it up and use.
OpenAI’s new model is a paradigm shift in both what the model can do and how you use it, and can easily and effortlessly produce things that was extremely difficult or impossible without complicated procedures and post processing in Photoshop.
FauxLiving@lemmy.world 5 days ago
All diffusion and language models are autoregressive. That just means that the output is fed back in as input until the task is complete.
With diffusion models this means that it is fed an image that is 100% noise and it removes some small percentage of the noise and then then the denoised image is fed back in and another small percentage is removed. This is repeated until a defined stopping points (usually a set number of passes).
Combining images and using one image to control the generation of another has been available for quite a while. Controlnet and IPAdapters let you do exactly that: ‘Put this coat on this person’ or ‘Take this picture and do it in this style’. Here’s an 11 month old YouTube video explaining how to do this using open source models and software: www.youtube.com/watch?v=gmwZGC8UVHE
It’s nice for non-technical people that OpenAI will sell you a subscription in order to access an agent that can perform these kinds of image generation abilities, but it’s not doing anything new in terms of image generation.
theterrasque@infosec.pub 5 days ago
I know them, and used them a bit. I even mentioned them in an earlier comment. The capabilities of OpenAI’s new model is on a different level in my experience.
www.reddit.com/r/StableDiffusion/…/4o_vs_flux/ - read the comments there. That’s a community dedicated to running local diffusion models. They’re familiar with all the tricks. They’re pretty damn impressed too.
I can’t help but feel that people here either haven’t tried the new openai image model, or have never actually used any of the existing ai image generators before.