I think we have enough stuff out there called flux.
burkaygur 23 hours ago [-]
hi friends! burkay from fal.ai here. would like to clarify that the model is NOT built by fal. all credit should go to Black Forest Labs (https://blackforestlabs.ai/) which is a new co by the OG stable diffusion team.
what we did at fal is take the model and run it on our inference engine optimized to run these kinds of models really really fast. feel free to give it a shot on the playgrounds. https://fal.ai/models/fal-ai/flux/dev
metadat 18 hours ago [-]
The playground is a drag. After accepting being forced to sign up, attach my GitHub, and hand over my email address, I entered the desired prompt and waited with anticipation.. Only to see a black screen and how much it's going to cost per megapixel.
Bummer. After seeing what was generated in the blog post I was excited to try it! Now feeling disappointed.
I was inspired by the SD3 problems to use this prompt:
"a woman lying on her back wearing a blouse and shorts."
But it wouldn't render the image - i instead got a NSFW warning. That's one way to hide the fact that it cannot render it properly i guess...
PS: after a few tries it rendered "a woman lying on her back" correctly.
TheAceOfHearts 16 hours ago [-]
My go-to test for these tools so far has been the seven horned, seven eyed lamb mentioned in the Book of Revelation. Every tool I've tried has failed at this task.
cpfohl 5 hours ago [-]
Ah. I try the following:
> A Gary Larsen, "Far Side" comic of a racoon disguising itself by wearing a fedora and long trench coat. The raccoon's face is mostly hidden by the fedora. There are extra paws sticking out of the front of the trench coat from between the buttons, suggesting that the racoon is in fact a stack of several raccoons.
Every human I've ever described this to has no problem picturing what I mean. It's a classic comic trope. AIs still struggle.
shagie 56 minutes ago [-]
This gets interesting. One approach that I've used with image generation before is to find an image of the sort that I want, and have Dall-e describe it... and then modify the prompt that it provides to be one with the elements that I want.
The image shows an imaginative, whimsical illustration of a character composed of two parts. The upper part features a man dressed in a long, elegant gray coat, wearing a bowler hat and round sunglasses, with a sophisticated white polka-dot ascot tie. His face has a subtle smile. The lower part of the character transitions seamlessly into a smaller figure of a cat, appearing to wear striped pants, with its tail visible. The entire character combines human and feline elements, creating a surreal, anthropomorphic appearance. The illustration is in black and white, emphasizing a stylized, cartoon-like design.
The image captures a whimsical and secretive scene featuring three dwarves stacked in a totem formation, each attempting to conceal their nature under a large brown cloak. The top dwarf has a bright, cheerful expression and blond hair, holding the cloak wide to mimic wings, and is dressed in black armor adorned with teal gems and matching earrings. The middle dwarf displays a fierce expression, sporting a bushy orange beard, and is also clad in similar dark armor with teal embellishments. The bottom dwarf, an older figure with a long white beard, is adorned in a royal dark outfit with gold accents and a small crown, clasping a glowing white orb. This trio of dwarves, each with distinctive fantasy armor, unites in a playful attempt to disguise their stature and nature, adding an element of adventure and mystery to the scene.
Working off of that idea of the totem formation ... "Create an image featuring three children in a totem pole formation that are trying to conceal their nature in a single oversized trench coat."
I suspect the orange beard came from the previous part in the session. But that might be an approach to take in trying to describe it in a way that can be used.
jiggawatts 3 hours ago [-]
A rough rule of thumb is that if a text-generator AI model of some size would struggle to understand your sentence, then an image-generator model a couple of times the size or even bigger would also struggle.
The intelligence just doesn't "fit" in there.
Personally I'm curious to see what would happen if someone burnt $100M of compute time on training a truly enormous image generator model, something the same-ish size as GPT4...
krapp 3 hours ago [-]
>Every human I've ever described this to has no problem picturing what I mean. It's a classic comic trope. AIs still struggle.
But AIs learn and therefore create in exactly the same way as humans, ostensibly on the same data. How can this be possible? /s
conception 3 hours ago [-]
That classic “bowl of ramen without chopsticks “ also fails. Haven’t seen any get that right yet either.
andybak 2 hours ago [-]
Negation is a known weak spot. Aren't you just retesting that again and again? Does it tell you much beyond that?
tiborsaas 7 hours ago [-]
Can you share the exact prompt you used?
TheAceOfHearts 6 hours ago [-]
Sure. Normally I try a few variants, but "lamb with seven horns" was what I tried when I made that post.
For what it's worth, I've previously asked in the Stable Diffusion Discord server for help generating a "lamb with seven horns and seven eyes" but the members there were also unsuccessful.
CGamesPlay 14 hours ago [-]
I mean, you can use a fork to make whipped cream, but it won't be easy and it's not the right tool for the job. Does that mean that the fork is useless?
TheAceOfHearts 13 hours ago [-]
I never said it was useless, just that it fails at this specific problem. One of my complaints with many of these image generation tools is that there's not much communication as to what should be expected from them, nor do they explain the areas where they're expected to succeed or fail.
Recently Claude began to allow generation of SVG drawings, and asking it to draw a unicorn and later add extra tails or horns worked correctly.
A fork exists in physical space and it's pretty intuitive to understand what it can do. These models exist within digital space and are incredibly opaque by comparison.
lukan 12 hours ago [-]
"Recently Claude began to allow generation of SVG drawings, and asking it to draw a unicorn and later add extra tails or horns worked correctly."
That sounds interesting! Were the results somewhat clean and clear SVG or rather a mess that just looked decent?
TheAceOfHearts 12 hours ago [-]
Here's the screenshot [0] that was shared with me. It's obviously pretty basic, but Claude understood the correct location for where the horns and tails should be located. This looks like a clear iterative improvement over older models.
Remarkably better than the "DrawThings" iPhone app (my only reference point).
liuliu 15 hours ago [-]
You should expect Flux model support in the next a few days coming to the app.
sylware 4 hours ago [-]
Is there a noscript/basic (x)html prompt?
10 hours ago [-]
17 hours ago [-]
Hizonner 18 hours ago [-]
You also might want to "clarify" that it is not open source (and neither are any of the other "open source" models). If you want to call it something, try "open weights", although the usage restrictions make even that a HUGE FUCKING STRETCH.
Also, everybody should remember that these models are not copyrightable and you should never agree to any license for them...
DHolzer 6 hours ago [-]
When I read "open source" i thought they actually are doing open source instead of "open weights" this time. Surely they would expect to be called out on hackernews if they label it incorrectly...
Thanks for pointing that out @Hizonener
astrange 8 hours ago [-]
It's certainly not true that models are not copyrightable; databases have copyright protection if creativity was involved in creating them.
That said, I don't think outputs of the model are derivative works of it, any more than the model is a derivative of its training data, so it's not clear to me they can actually enforce what you do with them.
filleokus 3 hours ago [-]
> It's certainly not true that models are not copyrightable; databases have copyright protection if creativity was involved in creating them.
I'm no IP lawyer, but I've always thought that copyright put "requirements" on the artefact (i.e the threshold of originality), not the process.
In my jurisdiction we have database rights, meaning that you get IP protections for the artefact based on the work put into the process. For example a database of distances between adress pairs or something is probably not copyrightable, but can be protected under database rights if enough work was done to compile the data.
EDIT: Saw in another place in thread speaking about the https://en.wikipedia.org/wiki/Sweat_of_the_brow doctrine, relates to Database rights. (Neither of which notably are not applicable in the U.S)
andymcsherry 8 hours ago [-]
I get the sentiment, but one of their models, albeit the worst one, is licensed under Apache without usage restrictions. The source to run the models is also open source.
Morphiak 13 hours ago [-]
A personal bugbear is the AI fascination with calling themselves open source, virtue signalling I guess. Open weights is exactly right. Source code and arguably more important datasets are both required to replicate the work, which is more in the spirit of open source (and science). I think Meta is especially egregious here, given their history.
Never underestimate the value of getting hordes of unpaid workers to refine your product. (See also React, others)
andybak 2 hours ago [-]
> virtue signalling
I'd prefer "false advertising" - it's more direct and without the culture war baggage.
seanw444 2 hours ago [-]
"Open source" is perceived as a virtue, and their claim is false. Thus false virtue claim. Or... virtue signaling.
HPsquared 8 hours ago [-]
Indeed. The data is the main "information source" from which the model is trained.
astromaniak 17 hours ago [-]
> it is not open source
It would be nice here if you give some examples of what you call open source model. Please ;) Because the impression is that these things do not exist, it's just a dream which does not deserve such a nice term..
Hizonner 17 hours ago [-]
As far as I know, none have been released. And it doesn't even really make sense, because, as I said, the models aren't copyrightable to begin with and therefore aren't licensable either.
However, plenty of open source software exists. The fact that open source models don't exist doesn't excuse attempts to falsely claim the prestige of the phrase "open source".
jillesvangurp 11 hours ago [-]
> models aren't copyrightable to begin with
You are wrong about that. It's a file with numbers. Which makes it a database or dataset and very much protected by copyright. That's why licenses are needed. For the phone book, things like open street maps, and indeed AI models.
> The fact that open source models don't exist
The fact that many people (myself included) routinely download and use models distributed under OSI approved licenses (Apache V2, MIT, etc.) makes that statement verifiably wrong. And yes, I do check the license of stuff that I use as I work with companies that care about such matters.
> As far as I know ...
Now you know better.
JimDabell 5 hours ago [-]
> You are wrong about that. It's a file with numbers. Which makes it a database or dataset and very much protected by copyright. That's why licenses are needed. For the phone book, things like open street maps, and indeed AI models.
This is only true in jurisdictions that follow the sweat of the brow doctrine, where effort alone without creativity is considered enough for copyright. In other places, such as the USA, collections of facts are not copyrightable and a minimal amount of creativity is required for something to qualify as copyrightable. The phone book is an example that is often used, actually, to demonstrate the difference.
I'm personally comfortable calling a model "open source" if the license is compatible with the https://opensource.org/ definition.
The Llama models aren't. Some of the Mistral models are (the Apache 2 ones). Microsoft Phi-3 is - it's MIT.
dagaci 5 hours ago [-]
Open source must include source material so that another can reproduce that the model. I would expect that to be a minimum.
simonw 2 hours ago [-]
I agree, but that can't happen with the vast majority of these models because they're trained on unlicensed data so they can't slap an open source license on the training data and distribute it.
I've decided to draw my personal line at Open Source Initiative compliance for the license they release the model itself under.
I respect the opinion that it's not truly open source unless they release the training data as well, but I've decided not to make that part of my own personal litmus test here.
My reasoning is that knowing something is "open source" helps me decide what I legally can or cannot do with it when building my own software. Not having access to the training data downs affect my legal rights, it just affects my ability to recompile myself. And I don't have millions of dollars of GPUs so that isn't so important to me, personally.
tikkun 22 hours ago [-]
> We are excited to introduce Flux
I'd suggest re-wording the blog post intro, it reads as if it was created by Fal.
Specific phrases to change:
> Announcing Flux
(from the title)
> We are excited to introduce Flux
> Flux comes in three powerful variations:
This section also comes across as if you created it
> We invite you to try Flux for yourself.
Reads as if you're the creator
burkaygur 22 hours ago [-]
Thanks for the feedback! Made some updates.
tikkun 22 hours ago [-]
Way better, nice
nextos 22 hours ago [-]
The name is a bit unfortunate given that Julia's most popular ML library is called Flux. See: https://fluxml.ai.
i would give them a break, so many things exist in the tech sector that being completely original is basically impossible, unless you name your thing something nonsensical
also search engines are context aware, if your search history is full of julia questions, it will know what you're searching for
refulgentis 21 hours ago [-]
There was a looong distracting thread a month ago about something similar, niche language, might have been Julia, had a package with the same name as $NEW_THING.
I hope this one doesn't stir as much discussion. It has 4000 stars, there isnt a large mass of people who view the world through the lens of "Flux is ML library". No one will end up in a "who is on first?" discussion because of it. If this line of argument is held sacrosanct, it ends up in an infinite loop until everyone gives up and starts using UUIDs.
djbusby 15 hours ago [-]
Like the Go language that existed before Google Go.
It would be nice to understand limits of the free tier. I couldn't find that anywhere. I see pricing, but I'm generating images without swiping my credit card.
If it's unlimited or "throttled for abuse," say that. Right now, I don't know if I can try it six times or experiment to my heart's desire.
vessenes 20 hours ago [-]
Congrats Burkay - the model is very impressive. One area I’d like to see improved in a flux v2 is knowledge of artist styles. Flux cannot respond to requests asking for paintings in the style of David Hockney, Norman Rockwell, Edgar Degas, — it seems to have no fine art training at all.
I’d bet that fine art training would further improve the compositional skills of the model, plus it would open up a range of uses that are (to me at least) a bit more interesting than just illustrations.
whywhywhywhy 7 hours ago [-]
>Flux cannot respond to requests asking for paintings in the style of David Hockney, Norman Rockwell
Does it respond to any names? I noticed SD3 removed all names to prevent recreating famous people but as a side effect lost the very powerful ability to infer styles from artist names too.
astrange 8 hours ago [-]
It's "just" another diffusion model, although a very good one. Those people are probably in there even if its text encoder doesn't know about them. So you can find them with textual inversion.
warkdarrior 20 hours ago [-]
Have those artists given permission for their styles to be slurped up into a model?
vessenes 16 hours ago [-]
Florentine art schools would like a word - they’ve been teaching painters by having them copy masters since the 16th century.
GaggiX 20 hours ago [-]
Give me a sec, I will contact Edgar Degas with my telegraph.
vessenes 16 hours ago [-]
Truly an API call I would pay for
dabeeeenster 20 hours ago [-]
The unsubscribe links in your emails don't work
shubik22 15 hours ago [-]
thanks for hosting the model! i created an account to try it out, you started emailing me with “important notice: low account balance - action required” and now it seems like there’s no way for me to unsubscribe or delete my account. is that the case? thanks!
RobotToaster 18 hours ago [-]
If you are using the dev model, the licence isn't open source.
It is very fast and very good at rendering text, and appears to have a text encoder such that the model can handle both text and positioning much better: https://x.com/minimaxir/status/1819041076872908894
How does the licence work when there's a bunch of restrictions at the bottom of that page that seem to contradict the licence?
minimaxir 20 hours ago [-]
IANAL but I suspect that "Out-of-Scope Use" has no legal authority.
nwoli 21 hours ago [-]
That’s not really fair to conclude that the training data contains vanity fair images since the prompt includes “by Vanity Fair”.
I could write “with text that says Shutterstock” in the prompt but that doesn’t necessairly mean the dataset contains that
minimaxir 21 hours ago [-]
The logo has the same exact copyrighted typography as the real Vanity Fair logo. I've also reproduced the same-copyrighted-typography with other brands with identical composition as copyrighted images. Just asking it "Vanity Fair cover story about Shrek" at a 3:2 ratio gives it a composition identical to a Vanity Fair cover very consistently (subject is in front of logo typography partially obscuring it)
The image linked has a traditional www watermark in the lower-left as well. Even something innocous as a "Super Mario 64" prompt shows a copyright watermark: https://x.com/minimaxir/status/1819093418246631855
Carrok 20 hours ago [-]
On my list of AI concerns, whether or not Vanity Fair has it’s copyright infringed does not appear.
minitoar 11 hours ago [-]
First they came for fashion magazines, and I said nothing.
amarant 8 hours ago [-]
Must we always jump to Nazis?
This is like the fifth time I see someone paraphrasing Niemöller in an ai context, and it's exhausting. It's also near impossible to take the paraphraser seriously.
More to the point, AI is a tool. I could just as well infringe on vanity fair IP using ms-paint. Someone more artistic than me could make a oil-on-canvas copy of their logo too.
Or, to turn your own annoying "argument" against you:
First they came for AI models, and I did not speak out, because I wasn't using them. Then they came for Photoshop, and I did not speak out, because I had never learned to use it. Then they came for for oil and canvas, and now there are no art forms left for me.
jMyles 8 hours ago [-]
Just to be clear: you're comparing the collapse of the creative restrictions which the state has cleverly branded "intellectual property" to... the holocaust?
Of all of the instances on HN of Godwin's law playing out that I've ever seen, this one is the new cake-taker.
whywhywhywhy 7 hours ago [-]
All journalism is just duplicating the works and performance of others without their permission for profit anyway.
smith7018 21 hours ago [-]
Are you suggesting that the model independently came up with Vanity Fair's logo, including font and kerning?
* NVIDIA Jetson AGX Orin Dev. Kit with 64 GB shared RAM.
* Default configuration for flux-dev. (FP16, 50 steps)
* 33GB GPU RAM usage.
* 4 minutes 20 seconds per image at around 50 Watt power usage.
CuriouslyC 23 hours ago [-]
3090 TIs should be able to handle it without much in the way of tricks for a "reasonable" (for the HN crowd) price.
fl0id 23 hours ago [-]
higher ram apple silicon should be able to run it too. if they don't use some ancient pytorch version or something.
phkahler 20 hours ago [-]
Why not on a CPU with 32 or 64 GB of RAM?
CuriouslyC 20 hours ago [-]
Performance, mostly. It'll work but image generation is shitty to do slowly compared to text inference.
holoduke 19 hours ago [-]
Much slower memory and limited parallelism. Gpu ÷- 8k pr more cuda cores vs +-16 on regular cpu. Less mem swapping between operations. Gpu much much faster.
dheera 22 hours ago [-]
You don't need an A100, you can get a used 32GB V100 for $2K-$3K. It's probably the absolute best bang-for-buck inference GPU at the moment. Not for speed but just the fact that there are models you can actually fit on it that you can't fit on a gaming card, and as long as you can fit the model, it is still lightyears better than CPU inference.
Morphiak 12 hours ago [-]
Why this versus the 2 3090s (with nvlink for marginal gains) and 48GB for 2$K ?
Well, I was wondering about bias in the model, so I entered "a president" as the prompt. Looks like it has a bias alright, but it's even more specific than I expected...
teamspirit 19 hours ago [-]
You weren’t kidding. Tried three times and all three were variations of the same[0].
What is the difference between schnell and dev? Just the kind of distillation?
schleck8 18 hours ago [-]
Schnell is definitely worse in quality, although still impressive (it gets text right). Dev is the really good one that arguably outperforms the new Midjourney 6.1
weberer 6 hours ago [-]
>FLUX.1 [dev]: The base model
>FLUX.1 [schnell]: A distilled version of the base model that operates up to 10 times faster
It should also be noted that "schnell" is the German word for "fast".
Aardwolf 20 hours ago [-]
What's the difference between pro and dev? Is the pro one also 12B parameters? Are the example images on the site (the patagonia guy, lego and the beach potato) generated with dev or pro?
treesciencebot 20 hours ago [-]
I think they are mainly -dev and -schnell. Both models are 12B. -pro is the most powerful and raw, -dev is guidance distilled version of it and -schnell is step distilled version (where you can get pretty good results with 2-8 steps).
layer8 23 hours ago [-]
Requires sign-in with a GitHub account, unfortunately.
wavemode 23 hours ago [-]
I think they may have turned on the gating some time after this was submitted to HackerNews. Earlier this morning I definitely ran the model several times without signing in at all (not via GitHub, not via anything). But now it says "Sign in to run".
treesciencebot 22 hours ago [-]
i just updated the links to clarify which models require sign-in and which doesn't!
smusamashah 23 hours ago [-]
Tested it using prompts from ideogram (login walled) which has great prompt adherence. Flux generated very very good images. I have been playing with ideogram but i don't want their filters and want to have a similar powerful system running locally.
If this runs locally, this is very very close to that in terms of both image quality and prompt adherence.
> A captivating and artistic illustration of four distinct creative quarters, each representing a unique aspect of creativity. In the top left, a writer with a quill and inkpot is depicted, showcasing their struggle with the text "THE STRUGGLE IS NOT REAL 1: WRITER". The scene is comically portrayed, highlighting the writer's creative challenges. In the top right, a figure labeled "THE STRUGGLE IS NOT REAL 2: COPY ||PASTER" is accompanied by a humorous comic drawing that satirically demonstrates their approach. In the bottom left, "THE STRUGGLE IS NOT REAL 3: THE RETRIER" features a character retrieving items, complete with an entertaining comic illustration. Lastly, in the bottom right, a remixer, identified as "THE STRUGGLE IS NOT REAL 4: THE REMI
Otherwise, the quality is great. I stopped using stable diffusion long time ago, the tools and tech around it became very messy, its not fun anymore. Been using ideogram for fun but I want something like ideogram that I can run locally without any filters. This is looking perfect so far.
This is not ideogram, but its very very good.
benreesman 21 hours ago [-]
Ideogram handles text really well but I don’t want to be on some weird social network.
If this thing can mint memes with captions in it on a single node I guess that’s the weekend gone.
Thanks for the useful review.
smusamashah 21 hours ago [-]
Flux is amazing actually. See my other comment where I verified a prompt on their fastest model. Check the linked reddit thread too.
I recently heard of FLUX and began reading about this. It's a remarkable technology
seveibar 21 hours ago [-]
whenever I see a new model I always see if it can do engineering diagrams (e.g. "two square boxes at a distance of 3.5mm"), still no dice on this one. https://x.com/seveibar/status/1819081632575611279
Would love to see an AI company attack engineering diagrams head on, my current hunch is that they just aren't in the training dataset (I'm very tempted to make a synthetic dataset/benchmark)
roenxi 12 hours ago [-]
It'll probably come suddenly. It has been fascinating to me watching the journey from Stable Diffusion 1 to 3. SD1 was a very crude model, where putting a word in the prompt might or might not add representations of the word to the image. Eg, using the word "hat" somewhere in the prompt might do literally nothing or suddenly there were hats everywhere. The context of the word didn't mean much to SD1.
SD2 was more consistent about the word appearing in the image. "hat" would add hats more reliably. Context started to matter a little bit.
SD3 seems to be getting a lot better at the idea of scene composition, so now specific entities can be prompted to wear hats. Not perfect, but noticeably improved from SD2.
Extrapolating from that, we're still a few generations from being able to describe things with the precision of an engineering diagram - but we're heading in the right direction at a rapid clip. I doubt there needs to be any specialist work yet, just time and the improvement of general purpose models.
napoleongl 21 hours ago [-]
Can’t you get this done via an LLM and have it generate code for mermaid or D2 or something? I’ve been fiddling around with that a bit in order to create flowcharts and datamodels, and I’m pretty sure I’ve seen at least one of those languages handle absolute positioning of object.
seveibar 18 hours ago [-]
it usually isn't accurate. LLMs generally have very little spatial awareness.
zellyn 20 hours ago [-]
I have likewise been utterly unable to get it to generate images that look like preliminary rapid pencil sketches. Suggestions by experienced prompters welcome!
Prompt: two square boxes at a distance of 3.5mm. Both boxes have the same size, 10cm.
9dev 8 hours ago [-]
It’s like spelling out wishes for a djinn—better be crystal clear what you’re thinking of…
phkahler 20 hours ago [-]
>> Would love to see an AI company attack engineering diagrams head on, my current hunch is that they just aren't in the training dataset (I'm very tempted to make a synthetic dataset/benchmark)
That seems like a good use for a speech driven assistant that know how to use PC desktop software. Just talk to a CAD program and say what you want. This seems like a long way off but could be very useful.
lovethevoid 21 hours ago [-]
I hope you find manual tagging of diagrams interesting, as that is what you'll be doing a lot of!
tantalor 22 hours ago [-]
Seems to do pretty poorly with spatial relationships.
"An upside down house" -> regular old house
"A horse sitting on a dog" -> horse and dog next to eachother
It appears the model does have some "sanity" restrictions from whatever its training process is that limits some of the super weird outputs.
"A horse sitting on a dog" doesn't work but "A dog sitting on a horse" works perfectly.
bboygravity 22 hours ago [-]
a zebra on top of an elephant worked fine for me
PoignardAzur 23 hours ago [-]
Am I missing something? The beach image they give still fails to follow the prompt in major ways.
swatcoder 23 hours ago [-]
You're not. I'm surprised at their selections because neither the cooking one nor the beach one adhere to the prompt in very well, and that first one only does because it prompt largely avoids much detail altogether. Overall, the announcement gives the sense that it can make pretty pictures but not very precise ones.
astrange 8 hours ago [-]
Well, that's nothing new, but it doesn't matter to dedicated users because they don't control it just by typing in text prompts. They use ComfyUI, which is a node editor.
perstablintome 5 hours ago [-]
The quality is difficult to judge consistently as there's variants among seed with the same prompt. And then there's the problem of cherry picked examples making the news. So I'm building a community gallery to generate Pro images for free, hope this at least increases the sample size https://fluxpro.art/
vunderba 16 hours ago [-]
Vast majority of comparisons aren't really putting these new models through their paces.
The best prompt adherence on the market right now BY FAR is DALL-E 3 but it still falls down on more complicated concepts and obviously is hugely censored - though weirdly significantly less censored if you hit their API directly.
I quickly mocked up a few weird/complex prompts and did some side-by-side comparisons with Flux and DALL-E 3. Flux is impressive and significantly performant particularly since both the dev/shnell models have been confirmed by Black Forest to be runnable via ComfyUI.
Your comparisons are all with the flux shnell model
> The fastest image generation model tailored for local development and personal use
Versus flux pro or dev models
vunderba 16 hours ago [-]
I did put them through pro/dev as well just to be safe. The quality changes and you can play with guidance (cranking it all the way to 10) but it doesn't make a significant difference for these prompts from what I could tell.
Several iterations and these were the best I got out of schnell, dev and pro respectively for the following prompt:
"a fantasy creature with the body of a dragon and a beachball for a head, hybrid, best quality, shadows and lighting, fantasy illustration muted"
> Nearby, anthropomorphic fruits play beach volleyball.
This is missing from the image. The generated image looks well, but while reading the prompt I was surpised it was missing
Havoc 22 hours ago [-]
Bit annoying signup...Github only...and github account creation is currently broken "Something went wrong". Took two tries and two browsers...
fernly 17 hours ago [-]
I had the same "something went wrong" experience, but on retrying the "sign in to run" button, it was fine and had logged me in.
Gave me a credit of 2USD to play with.
rty32 4 hours ago [-]
Just came to say I didn't see the "for homeless" part in that LEGO example. The prompt is a bit funny, almost ridiculous.
julienlafond 4 hours ago [-]
Same with the potato example, no "Nearby, anthropomorphic fruits play beach volleyball."
astrange 8 hours ago [-]
Flux-schnell is still incapable of generating "horse riding an astronaut" or "upside-down mini cooper".
sztanko 8 hours ago [-]
I don't think any of them can.
fl0id 23 hours ago [-]
Mmmh, trying my recent test prompts, still pretty shit. F.e. whereas midjourney or SD do not have a problem to create a pencil sketch, with this model (pro), it always looks more like a black and white photograph or digital illustration or render. It is also like all the others apparently not able to follow instructions on the position of characters. (i.e. X and Y are turned away from each other).
22 hours ago [-]
yjftsjthsd-h 23 hours ago [-]
> FLUX.1 [dev]: The base model, open-sourced with a non-commercial license
...then it's not open source. At least the others are Apache 2.0 (real open source) and correctly labeled proprietary, respectively.
Hey, great work over at fal.ai to run this on your infrastructure and for building in a free $2 in credits to try before buying. For those thinking of running this at home, I'll save you the trouble. Black Forest Flux did not run easily on my Apple Silicon MacBook at this time. (Please let me know if you have gotten this to run for you on similar hardware.) Specifically, it falls back to using CPU which is very slow. Changing device to 'mps' causes error "BFloat16 is not supported on MPS"
10 hours ago [-]
viraptor 18 hours ago [-]
Censored a bit, but not completely. I can get occasional boobs out of it, but sometimes it just gives the black output.
refulgentis 16 hours ago [-]
This gives you no info on how the model works. what is being applied is fal's post-inference "is this NSFW?" filter model
So your censorship investigation (via boobs) is testing a completely different, unrelated, model.
viraptor 16 hours ago [-]
It does provide information. Regardless of whether they use a post-inference filter, we now know that the model itself was trained on and can produce NSFW content. Compare this to SD3 which produces a noise pattern if you request naked bodies.
(Also you can download the model itself to check the local behaviour without extra filters. Unfortunately I don't have time to do it right now, but I'd love to know)
refulgentis 14 hours ago [-]
Right, that (the black bars) gives no info on how the model works. Thus, you'd love to "know more". ;)
Rest is groping for a reason to make "model is censored [classifier made POST return black image instead of boobs]" something sensical.
So I'm forced to signup and give my email for a supposed trial, only to be immediately told by email that I have a "Low Account Balance - Action Required"? Seriously?
dinobones 23 hours ago [-]
I wonder if the key behind the quality of the MidJourney models, and this models, is less about size + architecture and more about the quality of images trained on.
It looks like this is the case for LLMs, that the training quality of the data has a significant impact on the output quality of the model, which makes sense.
So the real magic is in designing a system to curate that high quality data.
CuriouslyC 20 hours ago [-]
Midjourney unquestionably has heavy data set curation and uses RLHF from users.
You don't have to speculate on this as you can see that custom models for SDXL for instance perform vastly better than vanilla SDXL at the same number of parameters. It's all data set and tagging.
spywaregorilla 19 hours ago [-]
custom models perform vastly better at the tasks they are finetuned to do
CuriouslyC 19 hours ago [-]
That is technically true, but when the base model is wasting parameter information on poorly tagged, watermarked stock art and other garbage images, it's not really a meaningful distinction. Better data makes for better models, nobody cares about how well a model outputs trash.
spywaregorilla 18 hours ago [-]
Ok, but you're severely misrepresenting the importance of things. Base SDXL is a fine model. Base SDXL is going to be much better than a materially smaller model that you've retrained with "good data".
42lux 23 hours ago [-]
It's the quality of the image text pair not the image alone but midjourney is not a model it's a suite of models that work in conjunction. They have an llm in the front to optimize the user prompts, they use SAM models, controlnet models for poses that are in high demand and so much more. That's why you can't really compare foundation models anymore because there are none.
jncfhnb 23 hours ago [-]
No, it’s definitely the size. Tiny LLMs are shit. Stable Diffusion 3’s problem is not that that its training set was wildly different, it’s that it’s just too small (because the one released so far is not the full size).
You can get better results with better data, for sure. And better architecture, for sure. But raw size is really important the difference in quality for models, all else held equal, is HUGE and obvious if you play with them.
pzo 21 hours ago [-]
I would agree - midjourney is getting a free labour since many of their generations are not in secret mode (require pro/mega subscription) so prompts and outputs are visible to everyone. Midjourney rewards users to rating those generations. I wouldn't be surprised if there are some bots on their discord that are scraping those data for training their own models.
fngjdflmdflg 21 hours ago [-]
Is the architecture outlined anywhere? Any publications or word on if they will publish something in the future? To be fair to them, they seemed to have launched this company today so I doubt they have a lot of time right now. Or maybe I just missed it?
I don't have anything to compare it to as I'm not that familiar with other diffusion models in the first place. I was kind of hoping to read the key changes they made to the diffusion architecture and how they collected and curated their dataset. I'd assume their are also using LAION but I wonder if they are doing anything to filter out low quality images (separate from what LAION atheistic already does). Or maybe if they have their own dataset.
Oras 20 hours ago [-]
This is great and unbelievably fast! I noticed a small note saying how much this would cost and how many images you can create for $1.
I assume you’re offering this as an API? Would be nice to have pricing page as I didn’t see one on your website.
mlboss 17 hours ago [-]
These venture funded startups keep releasing models for free without a business model in sight. I am all for open source but worry it is not sustainable long term.
qball 7 hours ago [-]
At this point the only thing an AI startup has to do to get people to spend money on the model is to:
-not censor it
-not be doing prompt injection
It's very easy, which is why no other firm is capable of it.
wmf 12 hours ago [-]
The free models are for practice and advertising. Once they get good they start charging. We've already seen this with Mistral and Stability.
djbusby 15 hours ago [-]
It's not. These VC firms currently just blasting money+AI at lots of things. Exploring to find what sticks. Expensive discovery.
smusamashah 21 hours ago [-]
Holy crap this is amazing. I saw an image with a prompt on reddit and didn't believe it was generated imaged. I thought it must be joke that people are sharing non-generated images in the thread.
> Photo of Criminal in a ski mask making a phone call in front of a store. There is caption on the bottom of the image: "It's time to Counter the Strike...". There is a red arrow pointing towards the caption. The red arrow is from a Red circle which has an image of Halo Master Chief in it.
Some of the images I generated using schnell model with 8-10 steps using this prompt. https://imgur.com/a/3mM9tKf
codezero 16 hours ago [-]
[dead]
j1mmie 22 hours ago [-]
I'm really impressed at its ability to output pixel art sprites. Maybe the best general-purpose model I've seen capable of that. In many cases its better than purpose-built models.
vishalk_3 9 hours ago [-]
Great product. BTW I am new to this technology can you please tell me what is the parameter given to Model to make it look like real life image ?
robotnikman 22 hours ago [-]
This is amazing! I thought it would be a few more years before we would have a such high quality model we could run locally.
kennethwolters 23 hours ago [-]
It is very good at "non-human subjects in photos with shallow focus".
Really curious to see what other low-hanging fruits people are finding.
CuriouslyC 23 hours ago [-]
Check out reddit.com/r/stablediffusion, it's been handling everything people have thrown at it so far.
SirMaster 22 hours ago [-]
I tried: "Moe from The Simpsons, waving" several times. But it only ever drew Lisa from The Simpsons waving.
xmly 19 hours ago [-]
Nice one. Will it plan to support both text and image to image?
14 hours ago [-]
SV_BubbleTime 24 hours ago [-]
Wow.
I have seen a lot of promises made by diffusion models.
This is in a whole different world. I legitimately feel bad for the people still a StabilityAI.
The playground testing is really something else!
The licensing model isn’t bad, although I would like to see them promise to open up their old closed source models under Apache when they release new API versions.
The prompt adherence and the breadth of topics it seems to know without a finetune and without any LORAs, is really amazing.
asadm 23 hours ago [-]
This is actually really good! I fear much better than SD3 even!
Der_Einzige 18 hours ago [-]
How long until nsfw fine tunes? Don’t pretend like it’s not on all of y’all’s minds, since over half of all the models on Civit.ai are NSFW. That’s what folks in the real world actually do with these models.
ZoomerCretin 19 hours ago [-]
Anyone know why text-to-image models have so many fewer parameters than text models? Are there any large image models (>70b, 400b, etc)?
minimaxir 19 hours ago [-]
Diffusion is very efficient encoding/decoding.
The only reason that diffusion isn't used for text is because text requires discrete outputs.
Looks like a very promising model. Hope to see the comfyui community get it going quickly
lovethevoid 23 hours ago [-]
Its already available for comfyui
jncfhnb 22 hours ago [-]
It’ll need time for the goodies beyond the base model though I would guess
lovethevoid 21 hours ago [-]
Works great as is right now, I can see some workflows being affected or having to wait for an update, but even those can do with some temporary workarounds (like having to load another model for later inpainting steps).
So if you're wanting to experiment and have a 24GB card, have at it!
jncfhnb 20 hours ago [-]
Yeah I mean like controlnet / ipadapter / animateddiff / in painting stuff
I don’t feel like base models are super useful. Most real use cases depend on being able to iterate on consistent outputs imo.
I have had a very bad experience trying to use other models to modify images but I mostly do anime shit and maybe styles are less consistently embedded into language for those models
zarmin 23 hours ago [-]
WILD
Photo of teen girl in a ski mask making an origami swan in a barn. There is caption on the bottom of the image: "EAT DRUGS" in yellow font. In the background there is a framed photo of obama
"Photo of Criminal in a ski mask making a phone call in front of a store. There is caption on the bottom of the image: "It's time to Counter the Strike...". There is a red arrow pointing towards the caption. The red arrow is from a Red circle which has an image of Halo Master Chief in it."
Hmm I was able to try the model myself (generated a handful of images) and didn't log in.
SV_BubbleTime 24 hours ago [-]
It’s a fal login, which is linked/federated with GitHub if you have done that before.
It takes zero time to “make an account”.
wavemode 22 hours ago [-]
I think they may have turned on the gating some time after this was submitted to HackerNews. Earlier this morning I definitely ran the model several times without signing in at all (not via GitHub, not via anything). But now it says "Sign in to run".
24 hours ago [-]
Rendered at 16:14:29 GMT+0000 (Coordinated Universal Time) with Vercel.
what we did at fal is take the model and run it on our inference engine optimized to run these kinds of models really really fast. feel free to give it a shot on the playgrounds. https://fal.ai/models/fal-ai/flux/dev
Bummer. After seeing what was generated in the blog post I was excited to try it! Now feeling disappointed.
I was hoping it'd be more like https://play.go.dev.
Good luck.
"a woman lying on her back wearing a blouse and shorts."
But it wouldn't render the image - i instead got a NSFW warning. That's one way to hide the fact that it cannot render it properly i guess...
PS: after a few tries it rendered "a woman lying on her back" correctly.
> A Gary Larsen, "Far Side" comic of a racoon disguising itself by wearing a fedora and long trench coat. The raccoon's face is mostly hidden by the fedora. There are extra paws sticking out of the front of the trench coat from between the buttons, suggesting that the racoon is in fact a stack of several raccoons.
Every human I've ever described this to has no problem picturing what I mean. It's a classic comic trope. AIs still struggle.
The first attempt at this based on https://reductress.com/post/my-boyfriends-are-always-two-kid... ... really misunderstood the image. This may also be part of the problem.
I then went to the image from https://www.reddit.com/r/DnD/comments/c6fdw4/oc_introducing_...And that provided:
Working off of that idea of the totem formation ... "Create an image featuring three children in a totem pole formation that are trying to conceal their nature in a single oversized trench coat."That produced https://imgur.com/a/Of9FsJl
I suspect the orange beard came from the previous part in the session. But that might be an approach to take in trying to describe it in a way that can be used.
The intelligence just doesn't "fit" in there.
Personally I'm curious to see what would happen if someone burnt $100M of compute time on training a truly enormous image generator model, something the same-ish size as GPT4...
But AIs learn and therefore create in exactly the same way as humans, ostensibly on the same data. How can this be possible? /s
For what it's worth, I've previously asked in the Stable Diffusion Discord server for help generating a "lamb with seven horns and seven eyes" but the members there were also unsuccessful.
Recently Claude began to allow generation of SVG drawings, and asking it to draw a unicorn and later add extra tails or horns worked correctly.
A fork exists in physical space and it's pretty intuitive to understand what it can do. These models exist within digital space and are incredibly opaque by comparison.
That sounds interesting! Were the results somewhat clean and clear SVG or rather a mess that just looked decent?
[0] https://imgur.com/Cc5uJNg
[0] https://github.com/bbkane/envelope/issues/44
Remarkably better than the "DrawThings" iPhone app (my only reference point).
Also, everybody should remember that these models are not copyrightable and you should never agree to any license for them...
Thanks for pointing that out @Hizonener
That said, I don't think outputs of the model are derivative works of it, any more than the model is a derivative of its training data, so it's not clear to me they can actually enforce what you do with them.
Are you talking about https://en.wikipedia.org/wiki/Database_right or plain old copyright?
I'm no IP lawyer, but I've always thought that copyright put "requirements" on the artefact (i.e the threshold of originality), not the process.
In my jurisdiction we have database rights, meaning that you get IP protections for the artefact based on the work put into the process. For example a database of distances between adress pairs or something is probably not copyrightable, but can be protected under database rights if enough work was done to compile the data.
EDIT: Saw in another place in thread speaking about the https://en.wikipedia.org/wiki/Sweat_of_the_brow doctrine, relates to Database rights. (Neither of which notably are not applicable in the U.S)
Never underestimate the value of getting hordes of unpaid workers to refine your product. (See also React, others)
I'd prefer "false advertising" - it's more direct and without the culture war baggage.
It would be nice here if you give some examples of what you call open source model. Please ;) Because the impression is that these things do not exist, it's just a dream which does not deserve such a nice term..
However, plenty of open source software exists. The fact that open source models don't exist doesn't excuse attempts to falsely claim the prestige of the phrase "open source".
You are wrong about that. It's a file with numbers. Which makes it a database or dataset and very much protected by copyright. That's why licenses are needed. For the phone book, things like open street maps, and indeed AI models.
> The fact that open source models don't exist
The fact that many people (myself included) routinely download and use models distributed under OSI approved licenses (Apache V2, MIT, etc.) makes that statement verifiably wrong. And yes, I do check the license of stuff that I use as I work with companies that care about such matters.
> As far as I know ...
Now you know better.
This is only true in jurisdictions that follow the sweat of the brow doctrine, where effort alone without creativity is considered enough for copyright. In other places, such as the USA, collections of facts are not copyrightable and a minimal amount of creativity is required for something to qualify as copyrightable. The phone book is an example that is often used, actually, to demonstrate the difference.
https://en.wikipedia.org/wiki/Sweat_of_the_brow
The Llama models aren't. Some of the Mistral models are (the Apache 2 ones). Microsoft Phi-3 is - it's MIT.
I've decided to draw my personal line at Open Source Initiative compliance for the license they release the model itself under.
I respect the opinion that it's not truly open source unless they release the training data as well, but I've decided not to make that part of my own personal litmus test here.
My reasoning is that knowing something is "open source" helps me decide what I legally can or cannot do with it when building my own software. Not having access to the training data downs affect my legal rights, it just affects my ability to recompile myself. And I don't have millions of dollars of GPUs so that isn't so important to me, personally.
I'd suggest re-wording the blog post intro, it reads as if it was created by Fal.
Specific phrases to change:
> Announcing Flux
(from the title)
> We are excited to introduce Flux
> Flux comes in three powerful variations:
This section also comes across as if you created it
> We invite you to try Flux for yourself.
Reads as if you're the creator
This library is quite well known, 3rd most starred project in Julia: https://juliapackages.com/packages?sort=stars.
It has been around since, at least, 2016: https://github.com/FluxML/Flux.jl/graphs/code-frequency.
also search engines are context aware, if your search history is full of julia questions, it will know what you're searching for
I hope this one doesn't stir as much discussion. It has 4000 stars, there isnt a large mass of people who view the world through the lens of "Flux is ML library". No one will end up in a "who is on first?" discussion because of it. If this line of argument is held sacrosanct, it ends up in an infinite loop until everyone gives up and starts using UUIDs.
https://en.wikipedia.org/wiki/Go!_(programming_language)
Disclosure: I work at Google but not on the Go team.
Flux A is the ML library
Flux B is the T2I model
Flux C is the React library
Flux D is the physics concept of power per unit area
Flux E is the goo you put on solder
If it's unlimited or "throttled for abuse," say that. Right now, I don't know if I can try it six times or experiment to my heart's desire.
I’d bet that fine art training would further improve the compositional skills of the model, plus it would open up a range of uses that are (to me at least) a bit more interesting than just illustrations.
Does it respond to any names? I noticed SD3 removed all names to prevent recreating famous people but as a side effect lost the very powerful ability to infer styles from artist names too.
It is very fast and very good at rendering text, and appears to have a text encoder such that the model can handle both text and positioning much better: https://x.com/minimaxir/status/1819041076872908894
A fun consequence of better text rendering is that it means text watermarks from its training data appear more clearly: https://x.com/minimaxir/status/1819045012166127921
I could write “with text that says Shutterstock” in the prompt but that doesn’t necessairly mean the dataset contains that
The image linked has a traditional www watermark in the lower-left as well. Even something innocous as a "Super Mario 64" prompt shows a copyright watermark: https://x.com/minimaxir/status/1819093418246631855
This is like the fifth time I see someone paraphrasing Niemöller in an ai context, and it's exhausting. It's also near impossible to take the paraphraser seriously.
More to the point, AI is a tool. I could just as well infringe on vanity fair IP using ms-paint. Someone more artistic than me could make a oil-on-canvas copy of their logo too.
Or, to turn your own annoying "argument" against you:
First they came for AI models, and I did not speak out, because I wasn't using them. Then they came for Photoshop, and I did not speak out, because I had never learned to use it. Then they came for for oil and canvas, and now there are no art forms left for me.
Of all of the instances on HN of Godwin's law playing out that I've ever seen, this one is the new cake-taker.
https://www.vanityfair.com/verso/static/vanity-fair/assets/l...
There is a PR to that repo for a diffusers implementation, which may run on a cheap L4 GPU w/ enable_model_cpu_offload(): https://huggingface.co/black-forest-labs/FLUX.1-schnell/comm...
* NVIDIA Jetson AGX Orin Dev. Kit with 64 GB shared RAM.
* Default configuration for flux-dev. (FP16, 50 steps)
* 33GB GPU RAM usage.
* 4 minutes 20 seconds per image at around 50 Watt power usage.
(available without sign-in) FLUX.1 [schnell] (Apache 2.0, open weights, step distilled): https://fal.ai/models/fal-ai/flux/schnell
(requires sign-in) FLUX.1 [dev] (non-commercial, open weights, guidance distilled): https://fal.ai/models/fal-ai/flux/dev
FLUX.1 [pro] (closed source [only available thru APIs], SOTA, raw): https://fal.ai/models/fal-ai/flux-pro
Well, I was wondering about bias in the model, so I entered "a president" as the prompt. Looks like it has a bias alright, but it's even more specific than I expected...
[0] https://fal.media/files/elephant/gu3ZQ46_53BUV6lptexEh.png
https://imgur.com/a/fgf6Jt3
>FLUX.1 [schnell]: A distilled version of the base model that operates up to 10 times faster
It should also be noted that "schnell" is the German word for "fast".
If this runs locally, this is very very close to that in terms of both image quality and prompt adherence.
I did fail at writing text clearly when text was a bit complicated. This ideogram image's prompt for example https://ideogram.ai/g/GUw6Vo-tQ8eRWp9x2HONdA/0
> A captivating and artistic illustration of four distinct creative quarters, each representing a unique aspect of creativity. In the top left, a writer with a quill and inkpot is depicted, showcasing their struggle with the text "THE STRUGGLE IS NOT REAL 1: WRITER". The scene is comically portrayed, highlighting the writer's creative challenges. In the top right, a figure labeled "THE STRUGGLE IS NOT REAL 2: COPY ||PASTER" is accompanied by a humorous comic drawing that satirically demonstrates their approach. In the bottom left, "THE STRUGGLE IS NOT REAL 3: THE RETRIER" features a character retrieving items, complete with an entertaining comic illustration. Lastly, in the bottom right, a remixer, identified as "THE STRUGGLE IS NOT REAL 4: THE REMI
Otherwise, the quality is great. I stopped using stable diffusion long time ago, the tools and tech around it became very messy, its not fun anymore. Been using ideogram for fun but I want something like ideogram that I can run locally without any filters. This is looking perfect so far.
This is not ideogram, but its very very good.
If this thing can mint memes with captions in it on a single node I guess that’s the weekend gone.
Thanks for the useful review.
https://news.ycombinator.com/item?id=41132515
Would love to see an AI company attack engineering diagrams head on, my current hunch is that they just aren't in the training dataset (I'm very tempted to make a synthetic dataset/benchmark)
SD2 was more consistent about the word appearing in the image. "hat" would add hats more reliably. Context started to matter a little bit.
SD3 seems to be getting a lot better at the idea of scene composition, so now specific entities can be prompted to wear hats. Not perfect, but noticeably improved from SD2.
Extrapolating from that, we're still a few generations from being able to describe things with the precision of an engineering diagram - but we're heading in the right direction at a rapid clip. I doubt there needs to be any specialist work yet, just time and the improvement of general purpose models.
Prompt: two square boxes at a distance of 3.5mm. Both boxes have the same size, 10cm.
That seems like a good use for a speech driven assistant that know how to use PC desktop software. Just talk to a CAD program and say what you want. This seems like a long way off but could be very useful.
"An upside down house" -> regular old house
"A horse sitting on a dog" -> horse and dog next to eachother
"An inverted Lockheed Martin F-22 Raptor" -> yikes https://fal.media/files/koala/zgPYG6SqhD4Y3y_E9MONu.png
"A horse sitting on a dog" doesn't work but "A dog sitting on a horse" works perfectly.
The best prompt adherence on the market right now BY FAR is DALL-E 3 but it still falls down on more complicated concepts and obviously is hugely censored - though weirdly significantly less censored if you hit their API directly.
I quickly mocked up a few weird/complex prompts and did some side-by-side comparisons with Flux and DALL-E 3. Flux is impressive and significantly performant particularly since both the dev/shnell models have been confirmed by Black Forest to be runnable via ComfyUI.
https://mordenstar.com/blog/flux-comparisons
> The fastest image generation model tailored for local development and personal use
Versus flux pro or dev models
Several iterations and these were the best I got out of schnell, dev and pro respectively for the following prompt:
"a fantasy creature with the body of a dragon and a beachball for a head, hybrid, best quality, shadows and lighting, fantasy illustration muted"
https://gondolaprime.pw/pictures/schnell-dev-pro.jpg
This is missing from the image. The generated image looks well, but while reading the prompt I was surpised it was missing
Gave me a credit of 2USD to play with.
...then it's not open source. At least the others are Apache 2.0 (real open source) and correctly labeled proprietary, respectively.
So your censorship investigation (via boobs) is testing a completely different, unrelated, model.
(Also you can download the model itself to check the local behaviour without extra filters. Unfortunately I don't have time to do it right now, but I'd love to know)
Rest is groping for a reason to make "model is censored [classifier made POST return black image instead of boobs]" something sensical.
It looks like this is the case for LLMs, that the training quality of the data has a significant impact on the output quality of the model, which makes sense.
So the real magic is in designing a system to curate that high quality data.
You don't have to speculate on this as you can see that custom models for SDXL for instance perform vastly better than vanilla SDXL at the same number of parameters. It's all data set and tagging.
You can get better results with better data, for sure. And better architecture, for sure. But raw size is really important the difference in quality for models, all else held equal, is HUGE and obvious if you play with them.
I assume you’re offering this as an API? Would be nice to have pricing page as I didn’t see one on your website.
-not censor it
-not be doing prompt injection
It's very easy, which is why no other firm is capable of it.
Reddit message: https://www.reddit.com/r/StableDiffusion/comments/1ehh1hx/an...
Linked image: https://preview.redd.it/dz3djnish2gd1.png?width=1024&format=...
The prompt:
> Photo of Criminal in a ski mask making a phone call in front of a store. There is caption on the bottom of the image: "It's time to Counter the Strike...". There is a red arrow pointing towards the caption. The red arrow is from a Red circle which has an image of Halo Master Chief in it.
Some of the images I generated using schnell model with 8-10 steps using this prompt. https://imgur.com/a/3mM9tKf
Really curious to see what other low-hanging fruits people are finding.
I have seen a lot of promises made by diffusion models.
This is in a whole different world. I legitimately feel bad for the people still a StabilityAI.
The playground testing is really something else!
The licensing model isn’t bad, although I would like to see them promise to open up their old closed source models under Apache when they release new API versions.
The prompt adherence and the breadth of topics it seems to know without a finetune and without any LORAs, is really amazing.
The only reason that diffusion isn't used for text is because text requires discrete outputs.
So if you're wanting to experiment and have a 24GB card, have at it!
I don’t feel like base models are super useful. Most real use cases depend on being able to iterate on consistent outputs imo.
I have had a very bad experience trying to use other models to modify images but I mostly do anime shit and maybe styles are less consistently embedded into language for those models
Photo of teen girl in a ski mask making an origami swan in a barn. There is caption on the bottom of the image: "EAT DRUGS" in yellow font. In the background there is a framed photo of obama
https://i.imgur.com/RifcWZc.png
Donald Trump on the cover of "Leopards Ate My Face" magazine
https://i.imgur.com/6HdBJkr.png
Result (distilled schnell model) for
"Photo of Criminal in a ski mask making a phone call in front of a store. There is caption on the bottom of the image: "It's time to Counter the Strike...". There is a red arrow pointing towards the caption. The red arrow is from a Red circle which has an image of Halo Master Chief in it."
https://www.reddit.com/r/StableDiffusion/s/SsPeQRJIkw
It takes zero time to “make an account”.