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Messages - Andrej.S.

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226
I wonder if AI images should be offered cheaper and the prices of authentic, high-quality photos should be increased?

I mean it does not make any sense that the price is equal because it takes so much more effort to prepare a good photo set up, pay models and post process taken photos. Many photographers can't work profitably even with huge masses anymore, so many will resign in the future and say, "F*** off, I won't contribute anymore and just move further to another industry."

Alternatively, if one doesn't want to offer the AI-generated images at a lower price, one should sell a pack of 5 or 10 images of a specific motif, because it would be just fair. There is hardly any additional effort, whether I generate 1 or 10 images. Upscaling and image editing take only a few minutes for a cleanly generated image.

In return, one should offer authentic and more complex content, which cannot be generated with AI, at a higher price or exclude it completely from the subscription model.

What are your ideas?

227
Dreamstime has been in a coma since around 2015/2016.
Would not invest much time in uploading new content, it's not worth it.

Would'nt be concerned if they will get in insolvency so the buyers move to other bigger agencies.

228
@cobalt
The hybrid approach is a best-case scenario if the agencies manage to integrate an AI assistant that is able to find the right image or video for the user's purpose in a very short time.

The AI assistant should completely replace the current searchbar with keywords.
Ideally, you would then enter a text description, voice message or screenshot of your website, product, article, etc. as input.
It must be a time saver.

But the crux however is, when AI image and video generators will be so much advanced as a part of multimodal models, that they would be still more time-efficient and above all more precise for the most generic stuff.

And the second problem is that agencies will probably have to invest much money for own development of AI assistants. Perhaps they will try to license ChatGPT oder Gemini, who knows. So agencies will have more expenses while the revenues will drop and they can't cut the contributors' commissions that much anymore.

Believe me, it is a naive idea to think that prompting will remain it's current complex structure. Take a look at the videos of Gemini. The multimodal model can already interpret complex visual context almost in real time.
And that's much more complex than just a text description.

@stoker2014

I don't say that the big agencies will completely vanish but just that the demand of generic content will probably drop by about 90%.

I think you underestimate the possibilities of multimodal models that for sure would be integrated into an all-in-one suite as a subscription.

Midjourney as a single tool for generating images is not a viable business model for the future. It is far too expensive for a single purpose. Most current users just try to generate and sell images via agencies that's the current irony.

But if an all-in-one solution for texts, images, videos, coding, etc. will be placed on the market for perhaps 49 or 79 USD/month, which is on every content type at the same level or above like Midjourney or Stable Diffusion for image generation, then you can think twice about whether someone will still buy a subscription with the agencies.

229
I think if adobe gave better stats tools, it would help people to analyse their own ports much better. especially now that people can grow huge ports faster with ai.

a simple sales to port size, both as a total but also as an important weekly metric would help many people refocus.

also stats on acceptance/declines would certainly help.

what i like about the adobe system is that it is very dynamic. although my port is small it can move up very, very fast if my content is right for the season.

and of course it then crashes quickly if the time is over.

but if you focus on what is needed even a newbie account actually has a chance.

Absolute agreement.
I wonder why Adobe doesn't integrate such statistics and provide a guideline on how you would analyze them in order to build a profitable portfolio.
I mean you could even give out an image ranking for a search prompt with keywords, which potentially a user would use.

The model taken from fotolia is simply outdated and dates back to the 2010s or even earlier when there wasn't so much content back. Agencies would just want enough contributors submitting stuff.
Now, after 20 years of experience in the industry, you could actually start to slowly change the submit flow and make things easier for contributors as compensation for lower commissions.

@blvdone
Nice! Have found your pond portfolio. I like the time lapses. Looks like from a professional television documentary.

230
for me it is 16:9,  but I try to make sure it can be easily cropped into a useful 3:2.

Thank you for your feedback. It makes perfect sense to make sure that it can be easily cropped. Have to pay more attention to this.

231
Google is now also playing in the AI league.
With the Gemini model Google is attacking at the forefront. Gemini is a multimodal model that can process text, images, video, music and other documents such as PDFs as inputs and generate corresponding outputs.

Google offers a cloud-based API platform for using and developing your own AI models, which can be created from the smaller Gema models.
Even some third-party open source models can be used.

In my opinion, Google created a strong overall package of AI models, API and cloud environment.
Despite the current problems I would assume that Google has a big chance to take the first place from Open AI in the long term.

https://blog.google/technology/developers/gemma-open-models/
https://deepmind.google/technologies/gemini/#introduction
https://blog.google/products/ads-commerce/gemini-models-are-coming-to-performance-max/
https://blog.google/technology/ai/google-labs-imagefx-textfx-generative-ai/

Free testing of Google's AI Image Generator: https://aitestkitchen.withgoogle.com/tools/image-fx

Being Woke and diverse has created the opposite of what an honest AI would do.

"It appears that in trying to solve one problem - bias - the tech giant has created another: output which tries so hard to be politically correct that it ends up being absurd."

"Gemini also generated German soldiers from World War Two, incorrectly featuring a black man and Asian woman."

https://www.bbc.com/news/technology-68412620

Reverse Bias is still bias. While trying to compensate for what the AI got from general images, they have created a mockery.

"When the AI was asked to show a picture of a White person, Gemini said it could not fulfill the request because it "reinforces harmful stereotypes and generalizations about people based on their race."  :o

Yes, I read that, just like Gemini couldn't answer the question of whether Elon Musk's meme tweets or Adolf Hitler did more harm to the society.
https://gemini.google.com/share/231396168632?hl=en

Google is currently lagging far behind Open AI, so they had to rush and tried to play it safe on all potential ethical issues, because it takes much time to adjust the algorithm for appropriate answers. I mean political correctness is such a complex thing that even many humans fail. In addition, we currently have political "overcorrectness" and minorities are disproportionately "favored", so you just can loose nowdays if you start from the scratch and rush.
But as long as the advantages for professional applications like chemistry, medicine, automotive, etc. outweigh, nobody will talk about such cases in the future.
 
For the image generator it would be easy just to block all such prompts by a giving error of an inappropriate request just like for example Microsoft's Bing image creator does.

////Edit:
Found this demo of Gemini's model capabilities.
https://www.youtube.com/watch?v=UIZAiXYceBI

If this isn't staged at all, it is really impressive.
Reminds me of the TARS robot from the Interstellar movie.

////Edit2:
What about the AI google ads capabilities?
https://youtu.be/kyTu3mgGfUA?t=78

Do you really believe people will still search for photos on agencies, when they will use all-in-one AI suites in 3 to 4 years?
People won't care about less quality that much. They will use it because they can save time and earn more money by just being more productive.

232
General Photography Discussion / Which aspect ratio sells most?
« on: February 29, 2024, 16:31 »
I think we can agree that landscape / widescreen format sells more than classical portrait format.
Which aspect ratio sells better for you in landscape format? Are there any noticeable patterns in terms of image categories or content?

Does the old 3:2 or the new 16:9 sell better?
I would have assumed that images for mobile use should sell better with 16:9 aspect ratio.

233
@stocker2014
Would not bet on that in 3 years.

I wonder if Kodak thought similarly about digital photography back then. Just a passing trend and fantasy.

Of course, there are already cloud-based solutions.
But they have the current disadvantage that they are not yet user-friendly and you need some IT knowledge (at least basic phyton or other programming skills) to set up your own AI models.

Just mark my words that the downfall will start with mature multimodal models in the next 3 years.

As soon as users start using them en masse and can generate almost free content for their needs in real time with easy prompts, no one will want anymore trawling through millions of generic videos in agencies libraries if they don't adopt their own AI assistants.

Do you really believe that users will then still buy generic videos of for example moving waves at the beach during a sunset for 50 bucks and have to search a matching one for their needs when they can generate this content by prompting "create a blog article of travel tips to the maledives and generate a matching video".

Time is money.

234
My acceptance rate, affects my acceptance rate? Sounds like a death spiral.

Yep it's a death spiral. I am quite sure if you have a high rejection rate, you will get many rejection rates because the reviewer will be likely much stricter. Now when I managed to get less rejections most files are accepted even if I would spot myself some AI generation errors.
What I did is to shift to more simple images and other Stable Diffusion models, which create less image noise and artefacts.
You should first try to decrease your rejection rate by submitting much less complex images and then start to submit your favored images. Chances will be more that they then will be accepted.

What Adobe Stock does not examine are AI generation errors like false hands, nostrils, ears, etc. They just seem to focus on technical errors like image noise, etc.

235
Most of the Sora videos look odd to me. Things are moving fast though, so only a matter of time until they improve it to a point where it will be a serious competitor to stock video. I can't remember who was saying they had no concerns about a year ago, I'm guessing they might've changed their mind about that now?
I haven't changed my mind. This is how powerful your computer will need to be to generate video created by artificial intelligence in normal quality. I'm not even talking about 4K and good codecs with high bitrates. I dont think buyers have such computers (most certainly dont).

Current AI models are severely limited due to their algorithms based on the transformers method and require thus exponentially increasing technical equipment.
In concrete terms, this means that the required technical performance increases exponentially with linear increasing token length of a promt command.

Currently Sepp Hochreiter has founded an AI company to further develop his new xLSTM algorithm, which has the advantage that the computing capacity only increases linearly.
I think new AI models based on such new algorithm types could greatly increase the generating quality by far less required computing capacity.

Cloud-based solutions from Nvidia and Google are also being greatly expanded. Nvidia's CEO stated that AI is a multi hundred's trillion USD market. They made 50 billions profit already last year and have overtaken Intel.
I can therefore imagine that in 3 years the AI videos will have high quality.

236
Shutterstock.com / Re: Is Shutterstock dead?
« on: February 29, 2024, 08:36 »

I would'nt want some Amateurs sending me millions of non authentical images, which can't be reviewed correctly because I would first have to teach my review team.


Ah Ha, but that's what SS has done and their business plan has been. We don't understand why, but they just keep going the same direction. Millions and millions of everyday, ordinary, repeating subjects and snapshots, and SS accepts them.

Difficult to understand why they don't "get serious".

Because they have crappy management board members who only want to be paid well and don't take serious actions, which can turn bad and you will get kicked out.

I mean they have the best database with statistics on buyer industries, best selling image categories, popular trends, etc.
You can use this to make an analysis or get advice from a BigFour consulting firm like Deloitte about which image categories and which buyer industries are threatened by AI models.

Then you can adapt your business plan what you want to promote more and set your focus.
But I bet they haven't developed a strategy worth mentioning. They will just cut further commissions and let it sink like a big titanic.

237
I don't think it would be a meaningful factor for the image rankings.

I believe that the aesthetics and correct keywording of an image have the greatest influence.

But I could imagine instead that the "profitability" of a user has an impact on both the duration of the review process and also the image rankings.

Adobe must somehow motivate profitable contributors to upload new content as well as maintain their own profitability.

238
Yeah the whole industry is changing fast. Not just the stock image and video industry.
What about speechwriters and speakers?

https://www.synthesia.io
https://www.deepbrain.io
https://www.colossyan.com

Google has with it's daughter YouTube actually the largest database to develop an AI video generator.
Perhaps this will be integrated into the Gemini model in the future. This would be a real nightmare.

239
Adobe Stock / Re: What's your weekly ranking and how many images?
« on: February 29, 2024, 05:46 »
It is obvious why Adobe only indicates the number of downloads with the ranking.
Otherwise with several data points as user rankings, you could use a statistical approach to scale up how much revenue the first rankings generate. The statistical distribution is probably similar to Benford's law.

But yeah Adobe could easily integrate more useful user statistics for the own port like earning per download, earning per image, share of sold images, best selling categories, etc.
Would be a favor for every contributor.

240
I would say 5 to max 7 years is a realistic scenario where only the big agencies like Adobe Stock, Getty / Istock, Alamy, etc. and of course agencies with editorial content will survive.
Perhaps small very specialized agencies (food, architecture, etc.) will survive by license supplying AI model developers.
All others are either too unknown, poorly diversified or have no recognizable long-term strategic orientation. They will disappear.

3 years are to short to see large market changes because of current AI technological barriers. With the exponential technical development, the marketing and thus the awareness of AI models will increase significantly the following coming years. In addition, many users most likely have medium-term plans for stock licensing, so they won't switch next year. I think we will see a strong shift for the first time in 3 years, when image generation will be possible in real time.

In my opinion, there is a scenario in which the big stock agencies could remain profitable in the long term without ending up like Shitterstock as a pure data supplier for AI model developers.
You would need to develop your own AI assistant that allows prompting that combines an AI model with stock or customer's own photos using img2img with inpainting / outpainting.
This would have the advantage of being able to fulfill a wide broad of customer wishes through a high degree of flexibility by using the available high res photos with very low image errors.
You have to get away from the rigid old concept of a pure image database.
I have a design suite platform like Canvas in my mind but with focus on images, 3d and videos.

Let's take the example of a small car repair shop that wants to create a customer offer for cheap winter tire and oil changes as an advertisement for Christmas.
The marketing manager has an in oil covered smiling Santa in mind who is changing the tires in the car shop garage.
He could either take his own photo of his own garage and then pick out a Santa and integrate it into the photo in real time using an inpaint command, or he could use a prompt command to display a garage and a Santa separately, pick out suitable ones and then merge them into one picture. He could leave copy space free for text or his own logo, etc. 

The advantage would be the extremely high individual flexibility in comparison to current AI image generators.
Agencies need to integrate AI in a clever way.
There is no way around it. They have to invest money to remain profitable in the long term. And only the big ones can do that.
I would bet heavily on Adobe Stock to expand in this direction.
They actually have a lot of expertise in this area with their software design suite.
So integrating stock photos into Photoshop was a smart first step. But Photoshop is too complex for the normal user so they have to replace it with an AI assistant.

241
Google is now also playing in the AI league.
With the Gemini model Google is attacking at the forefront. Gemini is a multimodal model that can process text, images, video, music and other documents such as PDFs as inputs and generate corresponding outputs.

Google offers a cloud-based API platform for using and developing your own AI models, which can be created from the smaller Gema models.
Even some third-party open source models can be used.

In my opinion, Google created a strong overall package of AI models, API and cloud environment.
Despite the current problems I would assume that Google has a big chance to take the first place from Open AI in the long term.

https://blog.google/technology/developers/gemma-open-models/
https://deepmind.google/technologies/gemini/#introduction
https://blog.google/products/ads-commerce/gemini-models-are-coming-to-performance-max/
https://blog.google/technology/ai/google-labs-imagefx-textfx-generative-ai/

Free testing of Google's AI Image Generator: https://aitestkitchen.withgoogle.com/tools/image-fx

242
Shutterstock.com / Re: Is Shutterstock dead?
« on: February 27, 2024, 06:55 »
It would be a lot more expensive to pay professionals for custom shootings upfront.

This way they get all the content for free.

And they will keep needing daily life content shot by normal people, because for social media advertising you often need real life content "editorial style" not high end glamour shots.

They just need a stream of fresh content with enough variety for their ai training from the entire planet. Keeping a base microstock agency open will deliver that.

Half the usual uploads is probably fine, maybe even could drop another 50% without affecting their ai business.

But they could lower royalties again, especially if going forward their main focus is not growing the stock business.

It is an easy way to make more money instantly and inspite of the complaints, uploads will continue.

And if high end content is missing, I wouldn't be surprised if they can generate that out of the mass content with the help of ai. Maybe employ a few specialised designers who keep maing high end content out of the "authentic"/amateur upload streams.

I would also be good for advertising the skills of their ai engine.

All legitimate thoughts.
I agree that we need fresh new content, otherwise we would still have photos with retro hairstyles, ugly striped suits that are too big with oversized shoulder pads and wide flared pants (which have made a comeback, by the way).

We need new content for new modern trends.
The question is how much is needed so that the AI models can adapt the new trends as quickly and flawlessly as possible.

I think that a few dozen thousand photos are enough to integrate new trends into a basic model. At least no one in the Stability AI community says he need millions of photos to calibrate a new model. Because it would take extremely high costs by renting thousands of Nvidia GPUs.

Yeah It would make sense to hire some professional designers, who will deliver high end AI stuff.
It would even also make sense to hire skilled IT nerds who can help calibrating specific AI models like some dudes doing it just for free and fun in the stable AI community.

You can't fight AI anymore, you have to adopt it.

If I would be shutterstock's CEO and my strategy would be to expand with AI by licensing photos, videos and 3D stuff, I would make a 5 years forward plan, which content is needed for the following model developments.

For example to hire freelancers, who can deliver stuff to calibrate models for authentic images of professions, medical and technical tools, cultural food, etc.

I would'nt want some Amateurs sending me millions of non authentical images, which can't be reviewed correctly because I would first have to teach my review team.

And imagine what will happen, if users will get multimodal AI models in the future.
They will prompt "write an article and generate a matching image" or "this is my business model like a car repair shop, I need suitable images for my website to present our services".

Then it's almost game over for the majority of contributors.

243
Shutterstock.com / Re: Is Shutterstock dead?
« on: February 27, 2024, 03:10 »
I know people here care and we're at the mercy of the agencies, but if the customers go to Adobe, and SS has much more profitable business gains in AI, news, or whatever else they own and do, they won't care about a division that's losing money. If it's too expensive to operate and unprofitable, they could shut down stock photos, as a cost cutting, expense reduction, initiative.

What kind of business do they have that is not dependend on the stock photo business?

When they shut down the stock photo business, the AI licencing business goes away as well. They may survive stagnation or even decline in the stock photo business, but without stock images (and videos etc.), they have no AI business.

They have all kinds of divisions, and I don't really think they would shut down the stock photo business, just a far out idea that, if the rest of "Shutterstock" the corporation was making money and the Microstock division was losing money, they could close it down. I don't think that's likely. But if Microstock as an industry becomes obsolete?

You hardly see anyone making bottle openers anymore. Can openers for beverages are obsolete. Who's still in the buggy whip business, and the demand for horse shoes is really down. Hey here's a good one... KODAK film?

Yamaha doesn't just make pianos and musical instruments. Ever notice the logo is a tuning fork? Companies adapt and change as the market changes. The Gap started as a record shop. KOSS Corporation, made record players, but the headset they created to sell along with them was such a hit, that they went into the headset business. Olympus has spun off the camera division, but still makes other electronics and optical devices.

You're right. Without the new photos from real photographers, or drawings and more materials, the licensing for AI wouldn't be very profitable anymore.

There is a lot of truth in this post. I think as soon as you see that a company has to open up new market areas, this is an indication that the primary origin market has been grazed or that the technological changes no longer make this market profitable.

So if Shutterstock licenses their content for AI models, they expect the demand for stock images to fall sharply in the long term. And this forecast is not that unrealistic as many still seem to believe.

I think they also know that they will still need stock images for specific image types in order to continue to deliver content for the AI models and receive licensing revenue.

But they will no longer need generic images, like people pictures with smiling faces or in business suits. The current models already can generate perfect images of such content.

So it would only make sense to shrink this department to a healthy size.
For example only accepting highly professional content with ultra-high resolution for large print projects.

Or limiting the image categories only to the content that is still needed for the further development of the AI models.

I still beliebe that it would make most sense to send out invitations for professional freelance photographers who would specifically shoot the required type of images they need for further AI model developments.

This would take a lot of pressure off the review process and provide a regulated process and planning for AI license income.

That would also be a win-win-win constellation.

I can't imagine that shutterstock will still need millions of contributors in the future.
The costs are too high in the long term.

244
I can imagine that classic people photos are selling better at the moment because buyers want to avoid the risk of generated errors with hands, etc., which you often only recognize at second glance.
But I would never take classic photos for this nowadays. Most of the time it wouldn't be financially worthwhile for very attractive models or expensive locations.

On the other hand some creative content is virtually predestined for AI because you can't take a photo of this stuff or it takes very long for 3D rendering.

So I would say it depends on the type of pictures.

245
In fact, Adobe has managed to speed up the review to a maximum of 20 days.
The rejection rate is directly related to the acceptance rate (actually a no brainer).

I am sure that Adobe has an AI automated process as a first step. Every bigger artifact will lead to a rejection.
The second step will include human, manual reviewers. Here every reviewer will absolutely certain look at the acceptance rate first. If this is high, he will be much less strict in order to save time.

My acceptance rate is currently over 99%. The last 800 images have all been accepted since I switched to motives, which create less artifacts.

246
You are assuming that every customer wants to spend time playing and learning ai.

I know a lot of people with agency plans that tried it but quickly gave up.

Especially when you really are not sure what you are really looking for and need, it is a lot faster to browse a very large database and pick out a few files.

I do believe people will use ai to adapt what they download.

You need to have a basic understanding of photography or video to even prompt what you want. If you dont know what rembrandt lighting is, how different lenses affect an image, what color processing you might prefer etcthere are endless variations. Differences between acrylic and oil color painting or even a percentage wise mix of different art mediait is very complex.

Plus a lot of the people with an agency plan are normal people, not media professionals with years of training.

Again, those who believe it is all over, it is probably best if you readjust your income sources.

But it is not over for everyone.

Agree, just to add one more detail on Ai generated process. It gives us many "superstar" images just in coincidence on many factors all together in the proper moment and prompt, then this great image will be available in the stock agency for cents. You may not reach such a great photo for hours of prompting while one professional who work this will have it routinely in the working process.

It's not really thought proper through to the end.

I already see several blogs and smaller online newspapers that have switched to DALL-E or Midjourney. And this is the beginning, for whom poor quality is already enough to use such images just like a gap filler.

I am convinced that several AI providers will create prompt templates in the future to make prompting much easier.
It's very unrealistic to believe that you will need to "study promt engineering".
You already can get very decent results with very easy prompts if you use the right models.
If some one would write a small introduction which model you should use, it will be a no brainer for the users.

The new Stable Cascade model from Stable AI is already taking a first step in a similar direction. Here, a text model translates the user's prompt input into more complex prompt input for the actual image model.

As soon as the performance has been improved to such an extent that images can be generated in real time at the same speed as typing, a large generic share of the image stock market will become obsolete.
That is only a matter of time. As technical developments are exponential, I would guess a max of 5 years.

Sure you can still make money with AI images. I currently "raised" my earnings to about 40 - 50 USD / month with a port of approx. 1300 images.
But it will be even with a port of 10k images just a small additional income to make small travels or to take my wife out to the restaurant.

What will survive as AI stock are really creative concepts and striking image compositions. Images, which give you a "wow that's looks really awesome, haven't seen this before".

But also photos with authentic regional places, tools, architecture, etc.
And as last also professional and very detailed collages will survive.
All stuff, that AI can't generate because there are not enough images for the model calibration.

I would say the main photo stock market is already dead.

247
A new topic today:
Horse riding lessons for rich kids.

Took quite a while to find good seeds and settings because of the braids.
Here are some unretouched images with minor artifacts from the set:

https://ibb.co/MfzhXFk
https://ibb.co/RQzNsp0
https://ibb.co/2n6TMrp
https://ibb.co/F53jz67

In a few years, when diffusion models are even more advanced, hardly anyone will be shooting photos anymore.

I mean what an effort it would have been for such a set.
If you're not really experienced, I am sure over 90% of the shots would have been ruined by the sun backlight.
I have to admit, somehow it makes you feel like worthless crap with just prompting images.

248
I don't know how the search works exactly, but if it is sorted just by DL #, then as long as the image has the keywords it will show up in the search in the appropriate position based on total DL #.  Maybe none of the DLs came from that keyword. Also images that have been around for many years are more likely to have a higher # of downloads. Based on my own images many of the "most popular" sorts of searches are not actually ordered by the total number of downloads.

Yes, it is unclear how exactly the sorting is defined. Most likely, all images that simply contain this keyword will be displayed, regardless of their position in the keyword sequence.
It's also stupid that you can't see any keywords of images and unlike Dreamstime, you can't see which keyword was used to buy your images.

So for research purposes the sorting is literaly crap.
I would do it the other way around instead.
Pick a topic and use a meaningful keyword to see how many images are found. If it's less than 100k, better 30 to 50k then it's worth creating images here.
So narrow down the topic. For example sightseeings in Amsterdam.

Otherwise you have no chance. Or you are an extremely talented photographer and can hold up against the pros.

249
@Uncle Pete
Interesting, I didn't know about the token length restriction in Stable Diffusion. Thanks for the info!
I'll try it out with longer, detailed prompts.

Which online provider do you use?
Or do you generate locally on your own machine?

I currently use Mage.Space. Can't complain. For 15 USD / month unlimited generation with private mode and many pre-installed models / loras.

The cool thing is that in combination with precise prompts and special models, you can maintain character continuity quite well without too much deviation.
So it has potential for image series. I haven't seen sofar Midjourney users using this, but maybe nobody thinks about it.

I'm currently trying to generate colorful portraits with African-American models:
https://ibb.co/PhRSgNN
https://ibb.co/PTkRFZZ

And also the current body positivity, female sexual wellness trend:

https://ibb.co/f1sWkQR
https://ibb.co/1J0f0mM

Oh and yoga in a more "raw" style:
https://ibb.co/nLPSjnw

yes, the hands and minor artifacts are still really annoying at the moment ...

But as I said, I see much more potential in Stable Diffusion than Midjourney to stand out through individualization from the huge same-looking crowd. The buyers will be soon so pissed off because of millions of same looking stuff.

Just a commentary on the 'body posivitity' thing. It's funny how the tell-a-vision & media has convinced people being "fat" and "obese" is a "good thing" when it's actually very, very bad, by inventing new words & garbage phrases like "body positivity", when it's actually very, very bad to be that disgustingly overweight and fat. Being fat & overweight is not something to be proud of. It means you need to stop eating the potato chips, refined sugar, canola oil products, get off the sofa, get some exercise, stop taking meds & injecting yourself with crap. It means you are sick, because you have a bunch of parasites & crap inside of you that your body can't get rid of.

Pretty messed up how "they" (the people who own/run the wef/imf/UN/etc) appear to have confused so many people.

If I uploaded a picture like that, I'd be tempted to call it "Fat slob pretending to be happy by being slothful". It's a much more accurate description.

Absolutely agree. I like your straight thinking and cynical manner. Yeah the sheep mass mob, which we call people (in German we would say "das gemeine Volk") are just trend runners. Of course, being overweight is no reason to be proud of a fat body.
After years of vomiting in order to be slim, women are now encouraged to guzzle and swallow themselves healthy.
And why the heck there is no body positivity for men? Or do you see any posters with happy curly men?

The same applies to sustainability, diversity, etc.  ... Things, which will vanish in 10 to 15 years and have no real inherent, long-lasting values, because they come from outside and not from the thinking of society itself.

250
If you want to erase objects in the generation process, you can do two things:

Use the --no parameter:
In your case try --no orange color

Use negative weights:
In your case try ::orange -0.5 or -0.25

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