This isn't much of a test, but I bought $10 in credits on their playground and generated a test image. Not bad, but it didn't get the accordion keyboard right. Haven't tried editing yet.
One of the things they seem to be emphasizing here is the UX around being able to place specific elements where you want them in an image. If the positions of the components in the overall composition are very important, this seems to make that a lot easier and kind of reminds me of InvokeAI.
Ideogram V4, an open-weight model released back in June can also do this [1], but you have to use a relatively cumbersome JSON structure to describe all the different bounding boxes. So it’s definitely a bit of a hassle.
I'll probably be waiting until it goes open-weight (hopefully soon) like they did with Flux.2 / Klein.
Yeah, given how much better Ideogram v4 outputs are when you use the proper structured JSON (background, elements, etc.) I think most users probably have stuck some kind of Qwen/Gemma-based LLM between their raw prompt and the CLIP encoder.
I always hated Comfy's node based UI, but agents make it tolerable. Now I just have them set up a workflow and I go in and tweak it manually if the results aren't where I want them. I even have agents cherry doing multiple runs and cherry picking the best outputs, models have gotten good enough that it's a real time saver, assuming you have references they can and a rubric to check against.
Does anyone know if it can be used to generate accurate frame-by-frame sprite sequences? I found that no image model can do this well (with sufficient fidelity) - neither with one shot (full spritesheet), nor single frame conditioning. It would be great if an imagegen model could do this. What I do now (I use my own tool https://github.com/acatovic/ai-game-studio) is basically generate a reference image, then condition on that image to generate a very short video, then extract and prune frames. Then I get indie-level sprite fidelity about 90% of the time.
The task you're describing is a video model task, not an image model task. It's inherently temporal.
Generate a sprite in an image editor, then use a video model to make the loop you want; then turn the resulting video back into individual sprite images.
> FLUX 3 Image is available under a commercial weights license for companies running image generation at scale. Fine-tune and deploy it on your own infrastructure. Reach out to us to learn more.
So much negativity as usual and so little talk about the product, this is pretty impressive, well done, it seems to be filling decently a gap that everyone that has worked enough generating images with AI has faced.
I shouldn't have to scroll all the way down, click to use the thing, then fumble around to figure out what this does. It should be clear at the top of the first page (so I know right away that I don't need this).
Not sure what you mean. The top of the linked page is a video showing the product being used. Immediately below are the words “Compose images from scratch” and more examples, followed by “Text-to-image with strong prompt following and a native understanding of composition.” This is all within the first 100 words of content on the page.
Unless the version 3 announcement is your onboarding point, like it is for me just now. I can go research FLUX from here, but the original poster's point still holds.
Agreed with other comments about the UX. I'm more interested in that than the model itself. Would like to start seeing UI like this where you get to choose the model and compare different models. Can't jump all over the internet to each model developers sandbox just to test their models. Doing it from one place would be nice.
I like the interface; very useful for some use cases that would otherwise be quite frustrating. Dislike that it's yet another platform held back by arbitrary moderation. You can't make a bicycle for the mind that locks if you try to ride it in the wrong direction.
That sort of steering ability that has been possible with the latest Gemini releases has been nice to work with over previous generations. It’s great to see this improve on the platform with declarative controls built into the API and coming soon as an open model.
This isn't much of a test, but I bought $10 in credits on their playground and generated a test image. Not bad, but it didn't get the accordion keyboard right. Haven't tried editing yet.
https://pages.skybrian.com/flux3-image-test/
One of the things they seem to be emphasizing here is the UX around being able to place specific elements where you want them in an image. If the positions of the components in the overall composition are very important, this seems to make that a lot easier and kind of reminds me of InvokeAI.
Ideogram V4, an open-weight model released back in June can also do this [1], but you have to use a relatively cumbersome JSON structure to describe all the different bounding boxes. So it’s definitely a bit of a hassle.
I'll probably be waiting until it goes open-weight (hopefully soon) like they did with Flux.2 / Klein.
[1] - https://docs.ideogram.ai/using-ideogram/getting-started/prom...
You just get an LLM to do the bounding box stuff or use the ComfyUI node that provides a GUI for bounding box generation
Yeah, given how much better Ideogram v4 outputs are when you use the proper structured JSON (background, elements, etc.) I think most users probably have stuck some kind of Qwen/Gemma-based LLM between their raw prompt and the CLIP encoder.
I always hated Comfy's node based UI, but agents make it tolerable. Now I just have them set up a workflow and I go in and tweak it manually if the results aren't where I want them. I even have agents cherry doing multiple runs and cherry picking the best outputs, models have gotten good enough that it's a real time saver, assuming you have references they can and a rubric to check against.
Ideogram 4.5 released 2 days ago with more features along these lines
https://www.youtube.com/watch?v=2mecWZgbaEg
For a moment I was confused that this was a release of a new stable diffusion. What happened with Stable Diffusion?
The UX looks amazing and very steerable, congrats to the team for focusing on the interface.
Chats can be awful user interfaces.
Does anyone know if it can be used to generate accurate frame-by-frame sprite sequences? I found that no image model can do this well (with sufficient fidelity) - neither with one shot (full spritesheet), nor single frame conditioning. It would be great if an imagegen model could do this. What I do now (I use my own tool https://github.com/acatovic/ai-game-studio) is basically generate a reference image, then condition on that image to generate a very short video, then extract and prune frames. Then I get indie-level sprite fidelity about 90% of the time.
The task you're describing is a video model task, not an image model task. It's inherently temporal.
Generate a sprite in an image editor, then use a video model to make the loop you want; then turn the resulting video back into individual sprite images.
Of note is the OpenRouter endpoint has a promotional 50% discount, which is rare on image models: https://openrouter.ai/black-forest-labs/flux-3-image
open weights or bust
I think we are all waiting for the open weights or local model releases.
Has that been announced?
The website mentions:
> FLUX 3 Image is available under a commercial weights license for companies running image generation at scale. Fine-tune and deploy it on your own infrastructure. Reach out to us to learn more.
I guess the open ones would be non-commercial?
> Open Weights version of FLUX 3 Image is launching in the coming weeks.
— https://x.com/bfl_ai/status/2105734605621825738
If it is anything like the previous release Flux.2 [dev] - then yeah it'll probably be a non-commercial license.
https://bfl.ai/legal/non-commercial-license-terms
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Love to see an AI lab outside of US/China releasing good models.
So much negativity as usual and so little talk about the product, this is pretty impressive, well done, it seems to be filling decently a gap that everyone that has worked enough generating images with AI has faced.
there basically isn't any authentic use for image generation, i would hardly say the negativity is unfounded
I shouldn't have to scroll all the way down, click to use the thing, then fumble around to figure out what this does. It should be clear at the top of the first page (so I know right away that I don't need this).
Not sure what you mean. The top of the linked page is a video showing the product being used. Immediately below are the words “Compose images from scratch” and more examples, followed by “Text-to-image with strong prompt following and a native understanding of composition.” This is all within the first 100 words of content on the page.
It is a version 3 of a product.If you actually used or needed these, you would have known right away what this is and how it works.
But I don't use it or need it and wasted my time trying to figure out what it did. Clarity should be up front.
Unless the version 3 announcement is your onboarding point, like it is for me just now. I can go research FLUX from here, but the original poster's point still holds.
Agreed with other comments about the UX. I'm more interested in that than the model itself. Would like to start seeing UI like this where you get to choose the model and compare different models. Can't jump all over the internet to each model developers sandbox just to test their models. Doing it from one place would be nice.
It's this a new model or a new ui?
I like the interface; very useful for some use cases that would otherwise be quite frustrating. Dislike that it's yet another platform held back by arbitrary moderation. You can't make a bicycle for the mind that locks if you try to ride it in the wrong direction.
https://news.ycombinator.com/item?id=49031796
What's new from the last post? GA?
The original article mentions:
> We will open up an early access phase for FLUX 3 Image in the following weeks.
Not sure if there was a separate post for early access or if they just skipped to this.
Yes, you can do that with AI now.
That sort of steering ability that has been possible with the latest Gemini releases has been nice to work with over previous generations. It’s great to see this improve on the platform with declarative controls built into the API and coming soon as an open model.
looks cool, eternally greatful these models are marked for open weight releases. Pretty excited
Unrelated to the flux images used for floppy disk archiving? Sigh.
Every new piece of software needs a name.
Flux is in the top 9000 of the most common words.