Earlier quoted context omitted.
It reads as racist if you parse it as (skin tone and attractiveness) but if you instead parse it as (skin tone) and (attractiveness), ie as two entirely unrelated characteristics of the output, then it reads as nothing more than a claim about relative differences in behavior between models. Of course, given the sensitivity of the topic it is arguably somewhat inappropriate to make such observations without sufficient…
I find that people who are hypersensitive to racism are usually themselves pretty racist. It's like people who are aroused by something taboo are usually the biggest critic. I forget what this phenomena is called.
FLUX.1 Kontext
131–140 of 140 posts
Re: FLUX.1 Kontext
#132Currently am testing this out (using the Replicate endpoint: https://replicate.com/black-forest-labs/flux-kontext-pro ). Replicate also hosts "apps" with examples using FLUX Kontext for some common use cases of image editing: https://replicate.com/flux-kontext-apps It's pretty good: quality of the generated images is similar to that of GPT-4o image generation if you were using it for simple image-to-image generations…
It seems more accurate than 4o image generation in terms of preserving original details. If I give it my 3D animal character and ask it for a minor change like changing the lighting, 4o will completely mangle the face of my character, it will change the body and other details slightly. This Flux model keeps the visible geometry almost perfectly the same even when asked to significantly change the pose or lighting
Re: FLUX.1 Kontext
#133Re: FLUX.1 Kontext
#134Do they opensource their model structure?
Re: FLUX.1 Kontext
#135Some of these samples are rather cherry picked. Has anyone actually tried the professional headshot app of the "Kontext Apps"? https://replicate.com/flux-kontext-apps I've thrown half a dozen pictures of myself at it and it just completely replaced me with somebody else. To be fair, the final headshot does look very professional.
Re: FLUX.1 Kontext
#136Some of these samples are rather cherry picked. Has anyone actually tried the professional headshot app of the "Kontext Apps"? https://replicate.com/flux-kontext-apps I've thrown half a dozen pictures of myself at it and it just completely replaced me with somebody else. To be fair, the final headshot does look very professional.
so "consistent character" is just marketing hype then, not really possible?
Re: FLUX.1 Kontext
#137Earlier quoted context omitted.
Distilled is a real downer, but I guess those AI startup CEOs still gotta eat.
The open community has a done a lot with the open-weights distilled models from Black Forest Labs already, one of the more radical being Chroma: https://huggingface.co/lodestones/Chroma
Re: FLUX.1 Kontext
#138Earlier quoted context omitted.
It seems more accurate than 4o image generation in terms of preserving original details. If I give it my 3D animal character and ask it for a minor change like changing the lighting, 4o will completely mangle the face of my character, it will change the body and other details slightly. This Flux model keeps the visible geometry almost perfectly the same even when asked to significantly change the pose or lighting
anything is more accurate than the llms at generating images. chatgpt, google gemini, all of them... they're not optimized for image generation. it's why veo is an entirely different model from google for example. and even veo isn't the best video model either. people dedicated to images and video are just spending more time here (such as black forest labs). as a result, those specialized models are better.
Re: FLUX.1 Kontext
#139I'm debating whether to add the FLUX Kontext model to my GenAI image comparison site. The Max variant of the model definitely scores higher in prompt adherence nearly doubling Flux 1.dev score but still falling short of OpenAI's gpt-image-1 which (visual fidelity aside) is sitting at the top of the leaderboard. I liked keeping Flux 1.D around just to have a nice baseline for local GenAI capabilities. https://genai-sh…