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Discussion about A.I.

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I'm glad to notice that we have more 3D artists starting to use AI to enhance their works lately.

I can't claim to be an expert on Stable Diffusion. But since I've spent relatively more time using the tool than most of the people on CF, I decided to share some of the tips that I think could help them along the journey:

Hardware​

  • If you are looking to buy a PC that can be used for AI image generation, get an Nvidia card with the most VRAMs you can afford. Consider 6Gb to be the absolute minimum requirement for running Stable Diffusion(SD) locally.
  • Get a tablet if you can. It doesn't matter if you can actually draw or not, but it'll make your life so much easier if you have one. There are a lot of tasks involving masking a region or drawing a crude sketch when using SD, which can be quite painful to do with a mouse.
  • If you don't have a good enough PC to run SD locally, try one of the many websites that offer SD as an online service. There are even free ones like Stable Horde (you can even run the popular A11 client on top of it).

Software​

  • Automatic11's Web UI (or "A11's WebUI" for short) is the most popular choice for running SD locally. Personally, I recommend Vladmandic's fork, which is an opinionated version of the same client. If you want an easier, but less feature-rich client you may find one you like here.
  • Using SD in conjunction with other image manipulation software isn't mandatory but strongly recommended. Especially, it'll give you a nice synergy if you can use a bitmap image editor (e.g. GIMP, Photoshop, Paint.NET), a drawing tool (e.g. Krita, Adobe Illustrator), or a photo retouching tool (e.g. Darktable).
  • If you are an artist using familiar with a non-AI 2D/3D tool like Daz3D or Blender, try to find a way to incorporate SD into your workflow instead of replacing it. Especially, learn how to generate control map images from the tool you're familiar with. There are even plugins that can automate the process for certain programs.

General​

  • SD, or AI in general is a fast-moving field (it hasn't even passed a year since the first public release of SD!). So try to find a source from which you can get the latest news, new techniques, models, or workflows regarding the subject. r/StableDiffusion is a good place to start, and Civitai is invaluable if you want to find a model or a guide.
  • Try to establish your own workflow. One of the charms of AI-assisted image generation is that there can be many different ways to achieve a goal. So, spend some time in experimenting and get hints from what other people are doing.
  • See yourself as more of a film director than as a painter. Working with SD is like having a great team of actors, actresses, cinematographers, and all the other technicians needed to make a good film at your disposal. But it's your job to provide them with a good script and directions. You can't hope to make a good film by simply telling them something like "Hey, make me some cool fantasy story". You need to learn the ways to precisely express your ideas to your actors/actresses and the staff, and know what they can and cannot do. Sometimes, you may need to describe what you want in words while it might be better to draw them a sketch or show them a reference image at other times.
  • Try to get yourself familiar with the whole ecosystem instead of focusing too much on prompting. This chart can be helpful if you want to learn about what tools/techniques are available currently and what they are in a nutshell.
  • Try to establish an iterative workflow. Remember you can also use the output of one stage as the input of another, and this includes control net images and even steps involving external tools like Photoshop/Krita. For example, you can generate an image in img2img, convert it into a lineart a suitable preprocessor, edit it in an external program then use it as a control net input to generate another image. Be creative and do some experiments.
  • If you're using A11's client or one of its variants, try to spend some time exploring the extension repository. Some extensions like Image Browser can be very handy while there are others which may open up interesting possibilities like making videos using SD.

Model​

  • One of the very first tasks you may want to do after installing SD locally or registering to a suitable online service is to find a good base model (or "checkpoint") that suits your taste. The default Stable Diffusion models aren't very impressive and are utterly lacking when it comes to generating NSFW content. Visit Civitai.com and filter for checkpoints.
  • This might be a subjective opinion, but avoid checkpoints (and other models) targeted for Stable Diffusion 2.x. There's a good reason why the vast majority of user contributions on Civitai are still based on SD 1.5. Skip SD 2.0/2.1 but keep your eyes open for the upcoming SDXL.
  • You'll need at least one general-purpose checkpoint, and optionally another for inpainting. For photorealism, there are a few popular choices which you can search on Civitai using a tag like "#photorealistic" or "#photorealism".
  • For most tasks (maybe except for upscaling), a "pruned" model is good enough which is smaller in size. If the model's format is "PickleTensor", use it at your own risk. While it should be safe to use such a model in practice, it's a security risk in principle. Use a "SafeTensor" version whenever possible.
  • Learn how to use extra networks. It's very easy to use them, especially with a proper client or extensions like Civitai Helper. You can find many interesting models on Civitai and use them for free. And it's not too difficult to train your own if you can't find what you're looking for.

Prompting​

  • Start simple and try to build from there. More words (or "tokens") in the prompt means less emphasis each of the tokens will get. And the order of the words is meaningful so try to start with the most important traits.
  • Don't blindly copy & paste long prompts you've found on the internet. You'd be surprised to learn how much "cargo-culting" is going on with prompting practices, especially with negative prompts. Always do an experiment before following a prompting suggestion found on the internet.
  • Learn how to adjust the weight of each token which might differ from one client to another.
  • Don't strive to do too much with prompting. Prompting is important but far from everything SD can offer, and you won't go very far relying on prompting alone. After all, SD is pretty dumb in understanding what you want when you describe it in words. It's much more competent, however, in understanding your intention when it's suggested as an image (i.e. control net).
  • Learn its limits. This may change with the future version of SD but there are things that simply cannot be done by prompting alone. Notably, it's almost impossible to compose a scene involving many subjects with different traits (e.g. naked women in agony and a grinning man wearing clothes) or interacting with each other in a non-trivial manner (e.g. a man whipping a woman). There are better tools for such a task (e.g. inpainting, control map images, etc.) than simple prompting.

Txt2Img​

  • Start with a small image (512x512, 768x512, 512x768, etc) and build from there. Also, it's better to use a fast sampler (e.g. UniPC or Euler) with small sampling steps (e.g. 10-30) until you find the combination of the prompt and settings that suit your need.
  • While experimenting, using the same seed can be helpful to determine the impact of individual change of a setting or prompt. Use XY-Plot if you want more comprehensive data.
  • The above tips can be applied to other tools like Img2Img as well.
  • Don't try to get everything perfect in Txt2Img, which may not even be possible at all. Instead, try to generate a decent "base image" which can be further refined using other tools like Img2Img or inpainting.
  • Once you are satisfied with the combination of the prompt and parameters try "seed hunting", which is finding the best seed by generating in large batch size/count with random seeds.
  • After you find the best prompt/parameters/seed, use Hires. Fix to finalise the base image. Often, it's not possible to depict all the details in a 512x512 image so try to focus on determining the general composition/atmosphere/tone of the scene before this stage instead of spending too much time with the details.
  • If you run out of VRAM while upscaling using Hires. Fix, try Tiled VAE extension. It also has other cool features like tiled upscaling or regional prompting.

Img2Img / Inpaint​

  • Understanding how denoising strength works is crucial for using this tool effectively.
  • When inpainting, understanding what "context" the AI sees is important. For instance, if you draw a mask over a small part of the hand of a character and inpaint using the "masked only" mode, it's unlikely that you'll get a good result because AI will struggle to understand that the area belongs to a human hand. The more context you provide, the higher the chance that you'll get a more consistent result at the penalty of losing details.
  • If you have difficulty inserting a new object in an area or converting it to something entirely different, try the "fill" mode instead of "original".
  • If you try to convert an image to a different style (e.g. converting a Daz3D render to a photorealistic image), inpainting might not be the best way to do it. When you inpaint the character in a 3D render, for example, the AI will try to make the new content to be consistent with the rest of the image, which means it'll mimic the 3D render style instead of a photorealistic one.
  • Sometimes, using inpaint sketch is enough to convince AI to change a part of the image as you want. It's far easier to paint the character's hair to a different colour or draw a rope around its hands, for example, using inpaint sketch instead of making the whole control net images.
  • Overusing inpainting may have a detrimental effect on the overall consistency of the image, making it look like a photo manip work instead of a real photograph. The reason is that, it's difficult to inpaint new content that exactly matches the tone, focus (e.g. depth of field), proportion, etc. of the other part of the image. As such, you can see it as having a certain "consistency budget" which you can spend on using inpaint to fix errors or add more details. When you go over the budget, it may be better to run the whole image through an img2img or even txt2img process again to make it consistent again.

Control Net​

  • It's difficult to talk about the subject in a comprehensive manner because it's a fast-changing field and there are many different models and many creative uses of them. As such, I'll just emphasise the importance of them. So, learn how to use various control net images. You won't get very far without using them, so this might be the single most important tip in this post.
  • It's often useful to manipulate, or even create a control net image using an external tool. For example, drawing stick figures in Krita to determine the general composition of a scene, or deleting extra fingers in a generated lineart map can be very handy.
  • To save rendering time, you can generate a control map image using "preview" and use the result as the input with the "none" preprocessor.
  • In "pixel perfect" mode, the dimension of the output image determines the size of the generated control map image as well.
  • Sometimes, using an excessive number of control net images or using them in the wrong combination may result in unnatural images. When it happens, try to use a different model or disable those not necessary.
  • In general, lineart + realistic preprocessor is a good way to preserve the content of an image, especially with a depth map. It can sometimes be more precise than the canny model while being much easier to manipulate.
  • OpenPose maps can be very useful but it's difficult to generate them by hand. There are ways to generate them out of an existing image, or even from a 3D program like Blender or Daz3D directly.

I didn't intend to make it such a long post when I started to write it. I'll stop it here for now but I hope this thread can become a place where people can share their tips and workflows with each other regarding the AI-assisted image generation process, instead of arguing about it.
 
Last edited:
fallenmystic said:
I'm glad to notice that we have more 3D artists starting to use AI to enhance their works lately.

I can't claim to be an expert on Stable Diffusion. But since I've spent relatively more time using the tool than most of the people on CF, I decided to share some of the tips that I think could help them along the journey:

Hardware​

  • If you are looking to buy a PC that can be used for AI image generation, get an Nvidia card with the most VRAMs you can afford. Consider 6Gb to be the absolute minimum requirement for running Stable Diffusion(SD) locally.
  • Get a tablet if you can. It doesn't matter if you can actually draw or not, but it'll make your life so much easier if you have one. There are a lot of tasks involving masking a region or drawing a crude sketch when using SD, which can be quite painful to do with a mouse.
  • If you don't have a good enough PC to run SD locally, try one of the many websites that offer SD as an online service. There are even free ones like Stable Horde (you can even run the popular A11 client on top of it).

Software​

  • Automatic11's Web UI (or "A11's WebUI" for short) is the most popular choice for running SD locally. Personally, I recommend Vladmandic's fork, which is an opinionated version of the same client. If you want an easier, but less feature-rich client you may find one you like here.
  • Using SD in conjunction with other image manipulation software isn't mandatory but strongly recommended. Especially, it'll give you a nice synergy if you can use a bitmap image editor (e.g. GIMP, Photoshop, Paint.NET), a drawing tool (e.g. Krita, Adobe Illustrator), or a photo retouching tool (e.g. Darktable).
  • If you are an artist using familiar with a non-AI 2D/3D tool like Daz3D or Blender, try to find a way to incorporate SD into your workflow instead of replacing it. Especially, learn how to generate control map images from the tool you're familiar with. There are even plugins that can automate the process for certain programs.

General​

  • SD, or AI in general is a fast-moving field (it hasn't even passed a year since the first public release of SD!). So try to find a source from which you can get the latest news, new techniques, models, or workflows regarding the subject. r/StableDiffusion is a good place to start, and Civitai is invaluable if you want to find a model or a guide.
  • Try to establish your own workflow. One of the charms of AI-assisted image generation is that there can be many different ways to achieve a goal. So, spend some time in experimenting and get hints from what other people are doing.
  • See yourself as more of a film director than as a painter. Working with SD is like having a great team of actors, actresses, cinematographers, and all the other technicians needed to make a good film at your disposal. But it's your job to provide them with a good script and directions. You can't hope to make a good film by simply telling them something like "Hey, make me some cool fantasy story". You need to learn the ways to precisely express your ideas to your actors/actresses and the staff, and know what they can and cannot do. Sometimes, you may need to describe what you want in words while it might be better to draw them a sketch or show them a reference image at other times.
  • Try to get yourself familiar with the whole ecosystem instead of focusing too much on prompting. This chart can be helpful if you want to learn about what tools/techniques are available currently and what they are in a nutshell.
  • Try to establish an iterative workflow. Remember you can also use the output of one stage as the input of another, and this includes control net images and even steps involving external tools like Photoshop/Krita. For example, you can generate an image in img2img, convert it into a lineart a suitable preprocessor, edit it in an external program then use it as a control net input to generate another image. Be creative and do some experiments.
  • If you're using A11's client or one of its variants, try to spend some time exploring the extension repository. Some extensions like Image Browser can be very handy while there are others which may open up interesting possibilities like making videos using SD.

Model​

  • One of the very first tasks you may want to do after installing SD locally or registering to a suitable online service is to find a good base model (or "checkpoint") that suits your taste. The default Stable Diffusion models aren't very impressive and are utterly lacking when it comes to generating NSFW content. Visit Civitai.com and filter for checkpoints.
  • This might be a subjective opinion, but avoid checkpoints (and other models) targeted for Stable Diffusion 2.x. There's a good reason why the vast majority of user contributions on Civitai are still based on SD 1.5. Skip SD 2.0/2.1 but keep your eyes open for the upcoming SDXL.
  • You'll need at least one general-purpose checkpoint, and optionally another for inpainting. For photorealism, there are a few popular choices which you can search on Civitai using a tag like "#photorealistic" or "#photorealism".
  • For most tasks (maybe except for upscaling), a "pruned" model is good enough which is smaller in size. If the model's format is "PickleTensor", use it at your own risk. While it should be safe to use such a model in practice, it's a security risk in principle. Use a "SafeTensor" version whenever possible.
  • Learn how to use extra networks. It's very easy to use them, especially with a proper client or extensions like Civitai Helper. You can find many interesting models on Civitai and use them for free. And it's not too difficult to train your own if you can't find what you're looking for.

Prompting​

  • Start simple and try to build from there. More words (or "tokens") in the prompt means less emphasis each of the tokens will get. And the order of the words is meaningful so try to start with the most important traits.
  • Don't blindly copy & paste long prompts you've found on the internet. You'd be surprised to learn how much "cargo-culting" is going on with prompting practices, especially with negative prompts. Always do an experiment before following a prompting suggestion found on the internet.
  • Learn how to adjust the weight of each token which might differ from one client to another.
  • Don't strive to do too much with prompting. Prompting is important but far from everything SD can offer, and you won't go very far relying on prompting alone. After all, SD is pretty dumb in understanding what you want when you describe it in words. It's much more competent, however, in understanding your intention when it's suggested as an image (i.e. control net).
  • Learn its limits. This may change with the future version of SD but there are things that simply cannot be done by prompting alone. Notably, it's almost impossible to compose a scene involving many subjects with different traits (e.g. naked women in agony and a grinning man wearing clothes) or interacting with each other in a non-trivial manner (e.g. a man whipping a woman). There are better tools for such a task (e.g. inpainting, control map images, etc.) than simple prompting.

Txt2Img​

  • Start with a small image (512x512, 768x512, 512x768, etc) and build from there. Also, it's better to use a fast sampler (e.g. UniPC or Euler) with small sampling steps (e.g. 10-30) until you find the combination of the prompt and settings that suit your need.
  • While experimenting, using the same seed can be helpful to determine the impact of individual change of a setting or prompt. Use XY-Plot if you want more comprehensive data.
  • The above tips can be applied to other tools like Img2Img as well.
  • Don't try to get everything perfect in Txt2Img, which may not even be possible at all. Instead, try to generate a decent "base image" which can be further refined using other tools like Img2Img or inpainting.
  • Once you are satisfied with the combination of the prompt and parameters try "seed hunting", which is finding the best seed by generating in large batch size/count with random seeds.
  • After you find the best prompt/parameters/seed, use Hires. Fix to finalise the base image. Often, it's not possible to depict all the details in a 512x512 image so try to focus on determining the general composition/atmosphere/tone of the scene before this stage instead of spending too much time with the details.
  • If you run out of VRAM while upscaling using Hires. Fix, try Tiled VAE extension. It also has other cool features like tiled upscaling or regional prompting.

Img2Img / Inpaint​

  • Understanding how denoising strength works is crucial for using this tool effectively.
  • When inpainting, understanding what "context" the AI sees is important. For instance, if you draw a mask over a small part of the hand of a character and inpaint using the "masked only" mode, it's unlikely that you'll get a good result because AI will struggle to understand that the area belongs to a human hand. The more context you provide, the higher the chance that you'll get a more consistent result at the penalty of losing details.
  • If you have difficulty inserting a new object in an area or converting it to something entirely different, try the "fill" mode instead of "original".
  • If you try to convert an image to a different style (e.g. converting a Daz3D render to a photorealistic image), inpainting might not be the best way to do it. When you inpaint the character in a 3D render, for example, the AI will try to make the new content to be consistent with the rest of the image, which means it'll mimic the 3D render style instead of a photorealistic one.
  • Sometimes, using inpaint sketch is enough to convince AI to change a part of the image as you want. It's far easier to paint the character's hair to a different colour or draw a rope around its hands, for example, using inpaint sketch instead of making the whole control net images.
  • Overusing inpainting may have a detrimental effect on the overall consistency of the image, making it look like a photo manip work instead of a real photograph. The reason is that, it's difficult to inpaint new content that exactly matches the tone, focus (e.g. depth of field), proportion, etc. of the other part of the image. As such, you can see it as having a certain "consistency budget" which you can spend on using inpaint to fix errors or add more details. When you go over the budget, it may be better to run the whole image through an img2img or even txt2img process again to make it consistent again.

Control Net​

  • It's difficult to talk about the subject in a comprehensive manner because it's a fast-changing field and there are many different models and many creative uses of them. As such, I'll just emphasise the importance of them. So, learn how to use various control net images. You won't get very far without using them, so this might be the single most important tip in this post.
  • It's often useful to manipulate, or even create a control net image using an external tool. For example, drawing stick figures in Krita to determine the general composition of a scene, or deleting extra fingers in a generated lineart map can be very handy.
  • To save rendering time, you can generate a control map image using "preview" and use the result as the input with the "none" preprocessor.
  • In "pixel perfect" mode, the dimension of the output image determines the size of the generated control map image as well.
  • Sometimes, using an excessive number of control net images or using them in the wrong combination may result in unnatural images. When it happens, try to use a different model or disable those not necessary.
  • In general, lineart + realistic preprocessor is a good way to preserve the content of an image, especially with a depth map. It can sometimes be more precise than the canny model while being much easier to manipulate.
  • OpenPose maps can be very useful but it's difficult to generate them by hand. There are ways to generate them out of an existing image, or even from a 3D program like Blender or Daz3D directly.

I didn't intend to make it such a long post when I started to write it. I'll stop it here for now but I hope this thread can become a place where people can share their tips and workflows with each other regarding the AI-assisted image generation process, instead of arguing about it.
Click to expand...
Well, if nothing else, I think after reading this it will be hard for anyone to argue that AI use is trivial or not a discipline of it's own.
 
Hornet1ba said:
It could also be trivial,such as just entering a prompt such as:"a photo of a girl wearing a purple bikini at a tropical beach, holding a kitten,brown curly hair"
and you will get this:
View attachment 1322477
Click to expand...
The artificial cat doesn't seem impressed by the artificial purple bikini :rolleyes:
 
fallenmystic said:
I just uploaded the "showcase" crux render in my AI thread.

It took a few days for me to finish this particular render. Here are two of the intermediary images that I created in the process:

View attachment 1319603View attachment 1319604
Click to expand...
Excellent face... she seems pissed at being on the cross. Not AI related, but if she is sentenced to death, Tree would not give her a footrest. People get bored watching someone die on a cross and she'll die quicker without one. After all, you are paying guards to keep watch while she dies... :cool:
 
thehangingtree said:
Excellent face... she seems pissed at being on the cross. Not AI related, but if she is sentenced to death, Tree would not give her a footrest. People get bored watching someone die on a cross and she'll die quicker without one. After all, you are paying guards to keep watch while she dies... :cool:
Click to expand...
Well, maybe the guards are under military discipline (auxiliaries or something) as the New Testament implies Jesus' guards were. When President Taft visited the new Panama Canal, some poor Army personnel had to stand for hours in the sun waiting for him. Nobody paid them anything extra.
 
I came late into this conversation, and actually let AI pass me by until I had to start dealing with it in marking student exams, and now having to write "AI proof" exam questions ".....using the data you collected in practical 3 and on the fieldclass......."
So I started looking at images and certainly admire the work Fallenmystic has done, and the great instructions, but I didn't want to do anything that clogged my already clogged computer any more, and to be honest I glazed over at the instructions.
So I went the plebs route and look at what was available online and free. I tried several systems. Some I could not get a decent photoreal image (maybe they are largely for manga etc), others had a couple of free images and then no more, and a couple would only register through Google- I don't want this communicating with my main email system thank you.

These should all be free, easy and online.

So, I may have missed some good ones but for anyone wanting a quick try without commitment:
The best overall, but irritating to use, is https://www.unstability.ai. It has 52 free images/day but many will be off centre and no use so if you get 5 good ones out of 52 you are doing well. Great photoreal images and it will do some level of NSFW (nudity). It can be annoying to use because so many images are hardly in frame, or it ignores your prompts, but get it right and the results are excellent. Has a nasty habit of adding an extra leg or arm.

The best starting one I found was https://perchance.org/ai-character-generator
This is the only one I found that is utterly free with no limit to number of images, and is easy to use, and does NSFW images (including penetrations, but telling it to do that is not easy) but the images are small at 512 px in the smaller dimension (I upsized mine on a free online upsizer). Also the skin detail is pretty poor compared to others and it is terrible with hands (too many fingers in most images). If you put in prompts like "skin detail with pores, skin blemishes, fine wrinkles" you can get a better result. Has a nasty habit of adding an extra leg or arm, gives 6 or more fingers and (you may like this) often gives three or four boobs.
Give it a go.

The best images I got were Nightcafe https://creator.nightcafe.studio/ but they are all glamour type shots
The only consistently good photo images are using the SDXL 0.9 system, and that is 3 credits a go, and you only get 5 credits a day. In does not do NSFW commands but occasionally a nipple may turn up in the render.

I am not sure if Firefly https://firefly.adobe.com/inspire/images
is free or not as I have an Adobe account. The images are hard to tell from photos BUT it has a stupidly restrictive term use and even bans the use of types of lingerie as terms. Also, all the images I did of people other than portraits have a weirdly twisted neck. People are 'average looking' even if you request "supermodel" - great for realism; useless for glamour.


Have a play. If you find more, let me know.
 
chimaera said:
The best images I got were Nightcafe https://creator.nightcafe.studio/ but they are all glamour type shots
The only consistently good photo images are using the SDXL 0.9 system, and that is 3 credits a go, and you only get 5 credits a day. In does not do NSFW commands but occasionally a nipple may turn up in the render.
Click to expand...
For context, SDXL 0.9 is a preview for the next version of Stable Diffusion which will be officially released today. The base SD 1.5/2.0 model is utterly unsuitable for rendering good NSFW images, not to mention photorealistic ones. So many people have trained custom models on top of that, which is a requirement for any quality AI-assisted render.

What feels impressive is how one can come near the quality which those custom models provide with vanilla SDXL 0.9. As we'll soon see a plethora of custom models for SDXL 1.0, I can only imagine what kind of result it'll be able to create.

It's also a great opportunity to try SD for new users because the release will level the playing field by making all current custom models and some of the workarounds seasoned users had to rely on obsolete.

Some features of the Web UI haven't been updated for SDXL yet and probably we'll still need at least one good general-purpose checkpoint before I'll be switching to the new version. But I'm pretty sure that I won't have to wait too long, considering how active and fast-changing the scene is.
 
Last edited:
chimaera said:
I came late into this conversation, and actually let AI pass me by until I had to start dealing with it in marking student exams, and now having to write "AI proof" exam questions ".....using the data you collected in practical 3 and on the fieldclass......."
So I started looking at images and certainly admire the work Fallenmystic has done, and the great instructions, but I didn't want to do anything that clogged my already clogged computer any more, and to be honest I glazed over at the instructions.
So I went the plebs route and look at what was available online and free. I tried several systems. Some I could not get a decent photoreal image (maybe they are largely for manga etc), others had a couple of free images and then no more, and a couple would only register through Google- I don't want this communicating with my main email system thank you.

These should all be free, easy and online.

So, I may have missed some good ones but for anyone wanting a quick try without commitment:
The best overall, but irritating to use, is https://www.unstability.ai. It has 52 free images/day but many will be off centre and no use so if you get 5 good ones out of 52 you are doing well. Great photoreal images and it will do some level of NSFW (nudity). It can be annoying to use because so many images are hardly in frame, or it ignores your prompts, but get it right and the results are excellent. Has a nasty habit of adding an extra leg or arm.

The best starting one I found was https://perchance.org/ai-character-generator
This is the only one I found that is utterly free with no limit to number of images, and is easy to use, and does NSFW images (including penetrations, but telling it to do that is not easy) but the images are small at 512 px in the smaller dimension (I upsized mine on a free online upsizer). Also the skin detail is pretty poor compared to others and it is terrible with hands (too many fingers in most images). If you put in prompts like "skin detail with pores, skin blemishes, fine wrinkles" you can get a better result. Has a nasty habit of adding an extra leg or arm, gives 6 or more fingers and (you may like this) often gives three or four boobs.
Give it a go.

The best images I got were Nightcafe https://creator.nightcafe.studio/ but they are all glamour type shots
The only consistently good photo images are using the SDXL 0.9 system, and that is 3 credits a go, and you only get 5 credits a day. In does not do NSFW commands but occasionally a nipple may turn up in the render.

I am not sure if Firefly https://firefly.adobe.com/inspire/images
is free or not as I have an Adobe account. The images are hard to tell from photos BUT it has a stupidly restrictive term use and even bans the use of types of lingerie as terms. Also, all the images I did of people other than portraits have a weirdly twisted neck. People are 'average looking' even if you request "supermodel" - great for realism; useless for glamour.


Have a play. If you find more, let me know.
Click to expand...
do you have a list for ai writting NSFW stories?
 
When photography was invented, a lot of artists simply stopped painting portraits or landscapes. It took some time for them to realize they were still doing something invaluable. It took even more time for photography to become art and acquire a soul. And most photography is still soulless.

Right now the internet is literally flooded with A.I.-art and stories. Whatever I see and read, I find it soulless and I still feel repulsed by it. A computer application has nothing to win or lose, has no meaning to discover, has no soul.

As a result I lack inspiration to create art or write anything for myself. I know, it's unjustified, as in time this kind of art and literacy will acquire soul as well. When artists will learn to enlist this new medium into their creative stream. And in time real, as in human originated, art and stories will be desired again. But I feel tired of fighting against the immense tidal wave of mediocracy. This tendency of 'everyone is entitled to produce anything' is already over a hundred years old and it will continue even further, no doubt about it. When everybody has the right to be different, all will become indifferent. It will proceed until nobody is special anymore, until everything becomes anything and everybody can do anything, or at least claim to be able to do anything - and it will all be hollow and bleak.

I am tired of this world. I do not want to consume what's not real and therefor feel less inspired to produce anything at all.
 
If anyone asks me, I define art as a creative process by which one can evoke specific emotions in others or the result thereof.

To clarify, it should be a creative process, so simply holding a knife to another's throat doesn't qualify as "art" even if it can effectively convey a certain emotion to another person (i.e. fear).

And it must be something original, so I can't simply type the whole Pride and Prejudice verbatim in a word processor and claim it as a new piece of art.

Finally, it should be able to convey a specific idea and emotions as intended by the author, so randomly throwing paint at a wall can hardly be called "art" even though it manages to create a very beautiful pattern. (However, I believe it might be considered art if one does it hundreds of times and carefully chooses a certain result that matches the idea one tries to convey.)

There's little doubt that AI image-generating tools like Stable Diffusion let people express their ideas in original, and precise ways. If expressing one's own ideas and emotions in such a manner cannot be called "art", I don't know what art is anymore.

Maybe adding something like "having a good hand skill to create something" as a necessary condition to be an artist might exclude AI as a legitimate tool of art. But I cannot accept such a criterium since I believe art is something quite different from craft. And if I accept such an argument, I shouldn't call people like film directors "artists" because most of them just tell other people what to do while having little skills to write or paint anything themselves.
 
I don't want to get into the "what is art" conversation- I have my own views and pretty much agree with Fallenmystic, other than I would also add that emotions are from the creator as well as to the viewer.
Fallenmystic is clearly a real expert on ai illustration, and I very much defer to their knowledge. My add to this is really just saying that you don't need to be worried about the technical side, at least while you dip your toes in the AI water. It can be very simple and fun. OK, you will not be turning out great works with fine control of what is in them (although the great thing with AI is that MAY happen as you never know what you will get), but that can come later.

So for anyone reading this and not thinking it applies to you; go on, play on some of the free and zero commitment sites. You may find it great, you may get bored.
THEN you can follow Fallenmystic and delve to the next level.
 
By the way, I'm having some technical trouble with my setup, which prompted me to learn what features I've missed that might help me address the problem.

I stumbled upon this web page during the process, which is the most comprehensive guide of ControlNet 1.1 I've seen so far. As I mentioned in my earlier post in this thread, ControlNet is the bread-and-butter of rendering images with Stable Diffusion, if you want to go beyond generating random images.

As such, I'd like to recommend reading it to anyone who's interested in learning Stable Diffusion to create their own artwork.

(It can also be interesting to browse the image examples in that guide if you feel curious about how it's possible to use the tool to depict an idea as intended by the author rather than by the AI itself.)
 
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