Looks about what you'd get with FLUX and attaching some language model to enhance your prompt with eg more text
I'm excited to see what a Flux 2 can do if it can actually use a modern text encoder.
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Looks about what you'd get with FLUX and attaching some language model to enhance your prompt with eg more text
I'm excited to see what a Flux 2 can do if it can actually use a modern text encoder.
EDIT: Seems not, "The smallest image size I can generate is 1024x1024. Would you like me to proceed with that, or would you like a different approach?"
Looks about what you'd get with FLUX and attaching some language model to enhance your prompt with eg more text
Flux 1.1 Pro has good prompt adherence, but some of these (admittingly cherry-picked) GPT-4o generated image demos are beyond what you would get with Flux without a lot of iteration, particularly the large paragraphs of text. I'm excited to see what a Flux 2 can do if it can actually use a modern text encoder.
The image generators used by creatives will not be text-first.
"Dragon with brown leathery scales with an elephant texture and 10% reflectivity positioned three degrees under the mountain, which is approximately 250 meters taller than the next peak, ..." is not how you design.
Creative work is not 100% dice rolling in a crude and inadequate language. Encoding spatial and qualitative details is impossible. "A picture is worth a thousand words" is an understatement.
ofc 4.5 is best, but its slow and I am afraid I'm going to hit limits.
Did they time it with the Gemini 2.5 launch? https://news.ycombinator.com/item?id=43473489 Was it public information when Google was going to launch their new models? Interesting timing.
LPT: while the benchmarks don't show it, chatGPT4>4o. It amazes me people use 4o at all. But hey its the brand name and its free. ofc 4.5 is best, but its slow and I am afraid I'm going to hit limits.
OpenAI's livestream of GPT-4o Image Generation shows that it is slowwwwwwwwww (maybe 30 seconds per image, which Sam Altman had to spin "it's slow but the generated images are worth it"). Instead of using a diffusion approach, it appears to be generating the image tokens and decoding them akin to the original DALL-E ( https://openai.com/index/dall-e/ ), which allows for streaming partial generations from top to botto…