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FLUX.1 Kontext

bfl.ai

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Re: FLUX.1 Kontext

#41
I'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-showdown.specr.net

Incidentally, we did add the newest release of Hunyuan's Image 2.0 model but as expected of a real-time model it scores rather poorly.

EDIT: In fairness to Black Forest Labs this model definitely seems to be more focused on editing capabilities to refine and iterate on existing images rather than on strict text-to-image creation.

Re: FLUX.1 Kontext

#42

Earlier quoted context omitted.

There's no "truth" it's uncovering, no real face, these are all just generated images, yes.

I get that but usually you would have two inputs, the reference “true”, and the target that it to be manipulated.

Not necessarily. "As you may see, this is a Chinese lady. You have seen a number of Chinese ladies in your training set. Imagine the face of this lady so that it won't contradict the fragment visible on the image with the snowflake". (Damn, it's a pseudocode prompt.)

Re: FLUX.1 Kontext

#43

Currently 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…

Honestly love Replicate for always being up to date. It’s amazing that not only do we live in a time of rapid AI advancement, but that every new research grade model is immediately available via API and can be used in prod, at scale, no questions asked.

Something to be said about distributors like Replicate etc that are adding an exponent to the impact of these model releases

Re: FLUX.1 Kontext

#44
post #42

Earlier quoted context omitted.

I get that but usually you would have two inputs, the reference “true”, and the target that it to be manipulated.

Not necessarily. "As you may see, this is a Chinese lady. You have seen a number of Chinese ladies in your training set. Imagine the face of this lady so that it won't contradict the fragment visible on the image with the snowflake". (Damn, it's a pseudocode prompt.)

yes, so a stereotypical image. my point is best illustrated if you look at all of the photos of the woman.

Re: FLUX.1 Kontext

#45
Some 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

#46
post #43

Currently 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…

Honestly love Replicate for always being up to date. It’s amazing that not only do we live in a time of rapid AI advancement, but that every new research grade model is immediately available via API and can be used in prod, at scale, no questions asked. Something to be said about distributors like Replicate etc that are adding an exponent to the impact of these model releases

That's less on the downstream distributors, more on the model developers themselves realizing that ease-of-accessibility of the models themselves on Day 1 is important for getting community traction. Locking the model exclusively behind their own API won't work anymore.

Llama 4 was another recent case where they explicitly worked with downstream distributors to get it working Day 1.

Re: FLUX.1 Kontext

#47

Some 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.

Is the input image aspect ratio the same as the output aspect ratio? In some testing I've noticed that there is weirdness that happens if there is a forced shift.

Re: FLUX.1 Kontext

#48

Currently 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

#50

Earlier quoted context omitted.

"FLUX.1 Kontext [dev] Open-weights, distilled variant of Kontext, our most advanced generative image editing model. Coming soon" is what they say on https://bfl.ai/models/flux-kontext

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
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