it's a hard question, because I'm not sur what you mean with "what version of stable diffusion".
Stable diffusion is the inner brick inside automatic. it has not a lot of versions.
The models are what we talk the most about, version wise. It came out on 1.2, and is currently on 2.1. But this is where you choose your model in the UI, top left.
#💬|general-chat
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Yeah, been googling and just read that so I thought I'd delete before I got flamed 🙂
But thanks!
no flaming going around, not under my watch
:p
but happy you found it though and thanks
Ok, taking of my asbestos suit now and I will relax 🙂
Here's one I've been chewing on the the last hour. I downloaded a model called CarHelper.pt, dropped in the folder that says "put stable diffusion checkpoints here" and CarHelper.pt didin't get recognized after restarting AUTOMATIC1111. So I thought I'd be smart or not and modify the file extension to CarHelper.ckpt and it appeared to load ok, but then errored on my first render.
I am using the replicate inpainting api to generate product background for my spice box and other product (bottle of lotion for example). Unfortunately the AI keeps sticking objects to the spice box even with a perfect mask. I would love hearing from somebody if there is a way to fix this problem 🙂
that file is an embedding and goes here
\stable-diffusion-webui\embeddings\
no renaming
My 4090 is arrive Tuesday 🤞 along with upgraded, well everything.
What are the few models that I should try running on this beast?
So I have a project that I would love to mess with. I have a bunch of old-school Pin-Up artwork that was drawn by original artists from the WWII era. I would love to train a model using them, but I would preferr that it is not the original art itself that comes back when it is prompted. I actually would love to see what it looks like when I try it on top of different models, in hopes that it would keep it's general style. Knowing that each peice of art is not of the same person, some have backgrounds, others do not, should I be doing a textual inversion or a LORA? Should I train for style?
Much appreciated pure_fire!
hii, did you know the developer discord username?
nice
JumpingCoconut#8515
thanks~
np!
casually you know if he is in any discord server or community in where i can be?
nope i dont really keep up with SD stuff anymore
i just dont idk
Is there a discord group for control net?
i tried img2img and i can't get my image to look close at all to original. say i have a photo of myself or someone and i want to turn them into a cartoon. i drag an image in and prompt i put something like. Cartoon, 90s, anime. i've been getting pretty bad results. any suggestions to improve my results
There's replicate.com they have control net?
controlnet cany can keep the image but change the style
Today I explained to a student how to understand the main idea of paragraphs in a passage. I realized was was describing a process like LORA training to him - look at each paragraph, remove what's common, what's left is what's unique, the main idea.
will sd ever be better than midjourney? right now it sucks shit
user error 
Is the an SD model that will give me outputs like midjourney?
ahaha nah its just dogshit
yea thats what im wondering
Hello guys
Have you not seen the things we are making with sd? It is far more customizable than midjourney. If you're using the base SD model and webui, then you're severely limiting yourself. And if you haven't even tried it, then your judgement carries no weight 
A few ways you can get the most out of SD:
- Install a custom webui like Comfy or Auto1111
- Use custom models available on CivitAI and Huggingface
- Explore Textual Inversions / Embeddings
- Explore LoRA adaptations
- Explore ControlNet & Latent Couple Extensions
- Train your own models/embeds/loras to replicate a style/subject of your own choosing
There are a plethora of phenomenal resources available in this server to get you started. Coming in here and saying that SD is dogshit... well, it says a lot about your integrity. It is nice to be anonymous.
Projects like this are not remotely possible with Midjourney. Stable Diffusion is the ONLY platform that enables this kind of innovation - https://www.youtube.com/watch?v=GVT3WUa-48Y
Morning
Aint reading allat
then stop trolling and gtfo
💀
which webui? and local or hosted?
kohya, gooootit. There are two variants out there - one is specifically for google collab. I followed Aitrepreneur's video on training lora, was able to get it working by following his steps precisely.
Does this server provide any bot for creating an image???
Not currently. You can use Dreambooth to create images using SD online.
Yes, I did to. But some of the options he did weren't in the link he gave
But it used to right?
That's correct, there used to be dreambot channels people could use to generate images. They are not currently active.
You talking about the link to the kohya_ss github, or the options files he provided?
the link, and then he does something with setting permission for the cmd prompt
er, powershell
were you able to get the webui up and running?
guiz is online, he gon be mad I'm doing tech support in gen chat
I can't find the powershell script he used, so didn't get past that
I well go to the right channel
I am using the replicate inpainting api to generate a product background for my spice box and other products (bottle of lotion for example). Unfortunately the AI keeps sticking objects to the spice box even with a perfect mask. I would love hearing from somebody if there is a way to fix this problem 🙂
I'd find a background I like (even if there are artifacts/additional items I don't want included), and bring it into an art software. I hand-color over the artifacts and items to match the rough colors of the background material that should be there. Then I take it back into inpainting and turn my blotches of color into actual background.
I have small question to ask
ask away 🙂
since I change the weight of this art style in xyz plot.why there is no difference?
#🏞|general-with-images could be better to show
How to generate
@fathom willow
FAQ: How do I generate images? Is there a bot on the server?
Currently, there is no bot on the server that generates images. However, there are plenty of other ways such as the official https://beta.dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware! Check out #1080946152318443610 for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!
Thank you, I have update it
and it's a text inversion ? a lora ? or just the base model ?
In each and every case, it's really strange, it's as if there was no change at all in prompt submited to the model there
if you drop the individual pictures from your output folder into PNG info tab, it will show the prompt that was ran for that picture. can you confirm it used different weights for real ?
Trexdel gave you some good tips too
@alpine bear Hi Trexdel,
Thanks for sharing your approach to dealing with the issue of objects sticking to product images 🙂
I was curious if you had any knowledge on how Pebblely.com is addressing this issue with their AI-generated product images? I was wondering if they are using any specific techniques or methods to prevent objects from sticking to the product images...any clue?
I'm guessing their models were trained on 'empty' images. A dataset of images that all have empty space in the middle for product placement could easily replicate the effect.
The best thing you could do to achieve this in SD... well there's probably a couple things. A custom LoRA with extremely diverse backgrounds, all with consistently empty space might work. Controlnet might have a use case here as well. I haven't tinkered with this specific use case before, so I can't speak to the efficacy of my ideas 
@alpine bear Good gues! Thank you very much!
😃
I have a question for locally run Stable Diffusion
If i want to install this https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/main
Normally i just dl the safetensor or cptk and copy it to my models folder, but what are all these other folders and Do i need them and how and where do i install all these dependencies? (Like from a GitBash Terminal preferably)?
One question, do I have the copyright to market the images that I create with dream studio?
They are entirely your images to do what you will with 🙂
more info here: https://beta.dreamstudio.ai/terms-of-service
Hi All! Im super excited to be here. Building my leadership and advisory council for Assemble Teams Inc., enterprise AI software. Love to chat and connect sometime. Based in California
Thanks, is there a limit to the length of the text to image prompt? in other services maximum is 1000 characters
77 tokens is the limit on DS for now. The models can only accept 77 tokens (really 75 + start/end token), some cool open source tricks have been done to increase it but you lose context with longer prompts. Past 77 for now on DS though it will just be cut off
As far as AI generated art it's new territory. Cases are now winding their way through US courts. Here's an article on a ruling by the US copyright office that might help answer your question... https://www.artnews.com/art-news/news/ai-generator-art-text-us-copyright-policy-1234661683/
Thanks, How do I know how much is 1 token? Is there any algorithm or public library?
I have an app that currently uses the dall-e api and I will migrate it to the dream studio api, so I want it to throw an error if the user prompt is longer than allowed before sending the request to the api.
what does CFG Scale mean ing image2image?
same as in txt2img, it's how much your prompt is important in the image making process., how its tokens are intensely undestood by the model
Alright, so, if I were to make a guide for how to replicate my high quality results out of ultimate upscale. Where would you all recommend I upload it to? I am not sure how to go about this, but this process works so go that I wanna share it
You could check out my new awesome all-in-one LoRA Ruby script using Replicate.com: https://gist.github.com/basicfeatures/157b0ace8333337b35ab2ce4e17dedf6
I am not sure what this would do for the publication of my guide lol
i wonder is stable working on any kind of chat bot. i assume they must be
Oh you're writing a guide?
Wait until you see the images it creates. It's for what upcoming world's most popular record label 🤞
They'll be better than anything ever posted in here.
I am using https://replicate.com/stability-ai/stable-diffusion-inpainting to generate background images for products. Does anybody have a clue how I could prevent the AI to attach objects to the actual product. The mask image is covering the product seamlessly. Here are some results:https://drive.google.com/drive/folders/1Q3Urd0bEFV9y1YgF7oIx1eQTdg_CgvR3?usp=sharing
If its over 2gb, then into models/Stable-diffusion
I am really desperate...may anybody help me?
?
regarding this:I am using https://replicate.com/stability-ai/stable-diffusion-inpainting to generate background images for products. Does anybody have a clue how I could prevent the AI to attach objects to the actual product. The mask image is covering the product seamlessly. Here are some results:https://drive.google.com/drive/folders/1Q3Urd0bEFV9y1YgF7oIx1eQTdg_CgvR3?usp=sharing
Are you also using the replicate API?
but masking is nat so a big deal i nSD
No, unfortunatly it will still attach objects to my upload image...
How do you do control net with hands?
Am i using the wrong color code for the mask, using:// Set the white color for the mask
$white = imagecolorallocate($mask, 255, 255, 255);
// Set the black color for the mask
$black = imagecolorallocate($mask, 0, 0, 0);
what port is the backend of sd using?
what about under 2gb?
is there a command I can use to download these massive models from civit ai?
My current method is DL to my desktop (4-5 hours), upload to google drive (4 more hours), and then use the gdown command to download it from there
!w get doesnt work either because it will download the file, but without the filetype. Just a blank file. No ".ckpt" or whatever
Please help I have to sit at my computer for like 5 hours straight just to get one model working
how can I generate a logo with specific letter ?
im tryna make friends, pls someone add me and be my friend
Anybody understanding how Pebblely is working?
This is a really greate opportunity to make money
here u go https://youtu.be/dZ6NybFPZHI
maybe random designs..
If its under 2gb its not a model. Maybe a Lora then, and goes into models/lora
like with text2img
OK thanks!!
I did try that in the past
And I added the signifier at the beginning of the prompt like this
"1990s (style)"
and it didn't seem to effect anything
any clues?
try 90s style:1.3
Is anyone using control net with 2.1?
Flying lion#
oki
Hey, im having trouble getting stable diffusion working locally on my new amd build...could someone give me a hand?
Is there a way to rent VM online with windows 10, to run Automatic1111 there?
i need help to create art someone could f give a hand? with stabble diffusion
Feel free to pop on over to #🤝|tech-support if you're still having issues! Lots of friendly people there who should be able to help out!
cheers
i keep seeing posts about an chatgpt extension for prompting, is that even effective at all? good prompts usually have a formula to them where you dont want to type "draw a beautiful woman holding a phone walking by the beach and her hair is long and blonde" but instead you want to be specific with i.e.: woman holding phone, beach scene, long blonde hair, etc. Can't imagine chatgpt knows how to type that out every time. seems faster to just parse it out yourself instead of typing a non-working prompt to the plugin lol
Feed documentation into the gpt4 model and then define the formula you’d like for it to use every time.
are there any open music/sound ai communities yet?
Is https://beta.dreamstudio.ai/ down for other folks? I'm getting all sorts of errors starting this morning
Yes. It is!
Hello
It seems that problem started around 5:30 UTC
Is there any stable diffusion extensions on chromium?
Ah, thanks. Is there somewhere SD posts updates on this?
I would like to know too!
Also, Stability's API page does not seem to work either. Just me?
I'm also having this problem. Has been a huge headache for me this morning 😅
Finally figured out that it's not my code; it's the API
What are some other good Stable Diffusion hosts? Are there any that are competitive with the Stable Diffusion API? Replicate? Banana? etc.
Great, the API is working again
I want to know too! Although, stabilityAI is I think the official one
My users have been finding it is on-and-off for the past couple hours. Could be that it goes back down again soon
We're reaching out the the team to get a status update. As of now it seems that DS/API is temporarily down. The team is working on restoring it asap!
Edit: Still down as of <t:1680570000:f>
As far as I have been tracking the server, this was the first time the server went down. I really hope it does not go down again. Do not want a tarnished reputation this early
It's still not working for me...
It is very slow. But it is working. 20s or more per inference
It's been on-and-off for hours, so I wouldn't expect it to be consistently working until staff like Jae says it is
We should tag Jae so that he can tell us that the API is working
there will be an update as soon as there can be and you all will be informed of that--no need for tags ^^
Thank you
@hallow cypress @honest blade While we have some Stability API users here, what are y'all using for async calls to the API? I had to stop using the python stability-sdk and, instead, write my own that uses aiohttp with the REST API in order for my application (discord bot) to work.
C#'s IEnumerator. Earlier I used to use the main loop for the call to the API.
Ah, maybe it is better in C#; nice. Luis, are you using Python?
I'm using the frontend for now.
Are you experiencing any issues with aiohttp and Rest API?
No, switching from the stability python SDK to my own aiohttp + REST API made things usable (Python is blocking, so if libraries aren't async, it can be very bad for discord bots with many users). I wish someone else wrote this code for me, though (e.g. OpenAI library supports async)
Maybe it will becoming it's own GitHub repo if others want it 🤷; doesn't seem like that many people are impacted by the API outage, though
You could try ChatGPT to get to write the code for you haha. Sorry, thats the only advice I can offer without knowing more about your project.
I cannot access the "Platform API" on the website https://stability.ai/.
https://platform.stability.ai/?_gl=1*1ifgrjh*_ga*Njk1NTM1MTA2LjE2NzMwMjY3ODM.*_ga_W4CMY55YQZ*MTY4MDU0ODY1MS4yMS4wLjE2ODA1NDg2NTEuMC4wLjA.
This gives me a blank white page. Anyone experiencing the same issue?
I see the API docs like normal
this is a toughy. Since you want the background to know the masked part is a wine bottle, you should prompt "wine bottle against background" sort of prompts, which i assume you are. Since it's adding a lid on top of your wine bottle lid, or making the bottle look wider. I'm not sure if this would work but maybe, "wine bottle" in the negative prompt field would help?
If we were using the webui made by a1111 i would suggest you try to use prompt editing syntax for some nifty tricks. [wine bottle::0.2] in prompt and [:wine bottle:0.2] in the neg. I have no idea if that'd help but i would try it as an experiment. It would only have wine bottle in the prompt for 20% of steps, and then put wine bottle in the negative after 20% of steps.
maybe other people have tricks for this? you'd want the inpainting to know the context of the subject, but also not extend the subject
It's really bad at coding...
It can do simple tasks, but as soon as your code becomes somewhat complex - it's pretty much useless.
Add on top of that - code style inconsistencies, dirty code, AI not being able to keep \ remember same style \ programming language version and hallucinating things...
Hey guys, i am trying to install / use Kohya_ss, The video from Aitrepreneur is outdated and the intrustions are no longer the same on the github, so im a bit lost.
@astral goblet thanks for your detailed response 😉 I tried it with your suggestions…unfortunately it did not help at all :(. Does anybody have a clue how make this work properly?
Is https://civitai.com/ giving anybody else the "We'll Be Right Back" message?
#everybody I would be willing to pay if somebody finds a good working solution$
I'm pretty sure the endgame for this problem involves 3D, and probably a completely new approach to building the system from the ground up. Blender + ControlNet is a step in the right direction, but I think you can't get to there from here without considering UV coordinates or Generated coordinates or some sort of 3D data, instead of just screen pixels of the output image.
nope, but can't log in with google acc
I've tried clearing my cache and turning on a VPN. Neither fixes the problem.
hey guys im facing this issue on google colab.
RuntimeError: Detected that PyTorch and torchvision were compiled with different CUDA versions. PyTorch has CUDA Version=11.7 and torchvision has CUDA Version=11.8. Please reinstall the torchvision that matches your PyTorch install.
anybody got a solution?
maybe even try prompts without anything about a bottle. it could be anti intuitive that way. inpainting prompts are weird sometimes, for reasons like these
cool! are u working on this?
Any update on this?
Ello peeps I am back I lost access to my @cedar garden account by being a idiot lmao 😂
Is there a way to add a static transparent PNG file on top of a pollinations/lucid-sonic-dreams generated vid?
Made this little quickie at https://drive.google.com/drive/folders/1uyQ9nb8I-af4bE2Aq30rO0oh22GnPzoC?usp=share_link including some logo stuff that should go on top. Anybody know of a way to fuse them together?
I tried Adobe Express which got me nowhere, and the OpenSource OpenShot Video Editor crashes on my Windows laptop.
Anyone have experience with an Nvidia HGX A100 80GB 4GPU Card? Are these types of cards picked up and used by Stable Diffusion?
vs like the normal PCIe A100, for instance?
do an image search. theyre nothing like your normal gpu
I know, this is in the context of Lenovo server
Assuming I have this hardware, I should be able to install SB on it and have it picked up just like any other GPU, right?
no idea, sorry
Hello, I am not able to enter the platform for developers https://platform.stability.ai/, is there any other?
Yeah. Thats the kind of juice SD loves to work on
its a custom nvlink enclosure for 4 a100s if i'm not mistaken. i think its the kind of hardware that base models are trained on
yeah stability has a 4000 a100 cluster back when i read first about them
I think Stability is having some issues with that right now
Those are generally part of systems that cost over 100K
Call nvidia
Hello there, when I use Dream Studio if I generate image via API, and the Finish-Reason is CONTENT_FILTERED do they charge me the credits?
no, credits are not deducted for generations that are flagged by the content filter
Absolutely not. I can barely work the models other people have made. I'm just talking hypothetically.
Does anybody here know how to use Charturner with a normal map baked from an external program? I have Charturner, I have my prompt, but when I try to use my prebaked normal map with txt2img, it spits out two characters even though the control image normal map clearly shows 4 characters.
ok i have a extremly quick question for anyone with auto1111
its not even really technical or complex, just anyone with it installed
do you guys know which folder "Lib" is supposed to go in?
when i was freeing up space, i removed this lib folder separately
I see lots of folders with lib in the name. Just lib, not libs or anything with an underscore?
specifically the lib folder with like hundreds of thousands of files, ill get a ss quick
Oh wait. They're all in \venv\
Yeah I don't have nearly that many, but \venv\ seems like a safe bet for the parent folder of \lib.\ So \venv\lib.
Also I think if you're using a physical mouse you can click the path and drag to the right and see what's at the end of that string.
ok thank u for the help, ill see if it works
C:\Users(your user name)\stable-diffusion-webui\venv\Lib\ if you did a default install.
replace (your user name) with the name you type to log into windows.
alr i think what u gave works, its just some other parts of the program not working
so ill just try to reinstall
edit: i got it working, all that i needed to do was add the empty folder specified above,
since i deleted empty folders recently it didnt work
Good luck.
thanks, the image is only blurred when it is CONTENT_FILTERED, or is there some other case in which it can be blurred?
@vestal dew it was $130K actually. Nvidia said they'd get an answer and it's been 2 days
Hello, I read the prompt token length of dream studio is 75 tokens.
How do I know how much is 1 token? Is there any algorithm or public library?
I have an app that currently uses the dall-e api and I will migrate it to the dream studio api, so I want it to throw an error if the user prompt is longer than allowed before sending the request to the api.
Thanks
ah
it seems like such an easy question to answer... my guess is... we didn't spend enough money and no one cares
have you called multiple times?
youknow those money boxes where money's jsut flying around and you grab as much as you can? i think that's what nvidia sales departments are like lately
That sounds sketchy af.
ew.gif
Is the webui fixed for sd?
So are prompts heavily checkpoint reliant
Or are there some good FAQs to get better at entering baseline prompts
Been playing for two weeks and have a basic understanding now and it's time to study and get better.
Anime models are mostly trained in booru image board tags. So for that you should use them.
For other models you can try describing more in little sentences. But they also work with single words
How does () work?
If I put my (word) in like this does it make the prompt more virile in the processing
Also how much of a difference is front of the prompt lines compared to back. Front,Middle front,Middle back,back
Is there a specific percentage difference in severity of output from front to back?
Also what percentage it decreases depending on the amount of prompts?
Ty
Ok I’m working on it
Oh, cool. Good luck!
Actually, I'm seeing a lot of random projects on Reddit popping up exploring the integration of 3D. Blender. Unreal Engine. Pretty much anything with an API.
Hi, I just tried installing the application and encountered an error. I don't have an NVIDIA GPU; I only have an AMD GPU. Here's the error message I received:
Traceback (most recent call last):
File "C:\Users\Joshu\OneDrive\Desktop\School\Art\AI Art\stable-diffusion-webui-master\webui.py", line 139, in initialize
modules.sd_models.load_model()
...
RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx
Can anyone help me understand how to resolve this issue or provide guidance on running the application without an NVIDIA GPU? Any help would be greatly appreciated!
Hey pls come over to #🤝|tech-support
You have installed the wrong version of the webui
sorry! sure thing@
Hey, can anyone access this page: https://platform.stability.ai/?_gl=1*15ebt1v*_ga*Njk1NTM1MTA2LjE2NzMwMjY3ODM.*_ga_W4CMY55YQZ*MTY4MDU5OTg3Mi4yMi4xLjE2ODA1OTk5NTEuMC4wLjA because I can’t and a few other users from the Rest API channel can’t either. If yes, please send a screenshot of the page
Hey! Do you know of a discord for Lora Training?
Why are there so many people on this server who hate AI
Stockholm syndrome ig lmao
AMD support yet ?
is the poseX extension bugged by google colab? when I open the tab, only a checkbox appears to send to control net
It's been a thing
did you try clicking on the checkbox? It will show up once you do
If you want to train on a 768 model, can your training images be 512x768 or do they need to be 768x768? Also, can you mix in 768x512?
I clicked, but it doesn't appear, is there a delay?
No there shouldnt be, I guess it's just colab then. Because on local the posex is hidden by default until you click the check
ok
Is there a way to enable multiple graphics cards at the same time to accelerate the calculation of a single graph?
Or at least multiple cards are called simultaneously in the Web UI to generate pictures
guys, does anyone here try the depth library to create the hands? does anyone know how to solve the problem of hands appearing dark or a different color than the rest of the skin?
is there a api which allows me to use AUTOMATIC1111 inpainting?
Just found img to img.
why can't this thing draw a simple letter?
bro I just want a "letter" nothing more
it keeps drawing something like dragons, animals, anything that what is random
Hi all. Im new to SD and was wondering if there is a help section to post something im stuck trying to figure out. My Loras are not loading in for some reason and my GPY isnt dumping files it has cached from old renders until I close SD and start over.
" sryGPU"
guys i love dreamshaper
Because it's an AI trained on images, not directly on text. But new SD models should be obviously able to draw letters. We just need to wait
can u dm please
dream shaper is a fun model. of all the merged models in 1.5 i think it's my favorite
👍
it sure is boob thirsty though. better than other blends that hallucinate orifices all over people's anatomy
#🤝|tech-support should be of help!
Time to windowshop for my next 16-18GB ram phone with snapdragon lol or exynos.
My advice, wait a year for a generation 2 qualcomm ML chip. When qualcomm releases new tech on their silicon, it's always SOOO beta. They have a very "tick tock" style release pattern, where the tick is something new and the tock ties it all together to suck less. When their ML features show up in phones that aren't basically foldable phone gimmicks, and are in models that consumers rather than enthusiasts can afford, you're probably good to go then
Indeed. Time to keep an eye out!
I do need to replace my phone's battery as planned obsolescence got my S21 on near crutches atm
lol QC has even got wise to purchasing stratagies i'm suggesting. The chip they got SD working on first is called the Snapdragon 8 Gen 2 Mobile Platform LOL. They know people are going to wait for their gen2 devices to buy them so they just call the prototype gen 2 lololol
how do you make the depth library work right? it keeps showing the character holding an object instead of showing the hand in the right position of the model
i got a Snapdragon 778G right now. It's a "5g mobile platform" lol but it doesn't do 5g networking HAHA. the marketing brand names out of qualcomm are so dumb sometimes
Why can’t I generate nsfw pictures through DreamStudio or api?
@amber jayThere is no way to generate in this server
FAQ: How do I generate images? Is there a bot on the server?
Currently, there is no bot on the server that generates images. However, there are plenty of other ways such as the official https://beta.dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware! Check out #1080946152318443610 for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!
Because it's a service they provide and they have a filter on such things so that they don't have to comply with all the laws that regard pornography
I am writing an article about AI image generation for my technical writing class
I wanted to ask if there was any good resources about the history of AI image generation and how AI image generation works
It began at least 5000 years ago
the first well known image generation computer program was called Aaron - 1973
I am looking for a mentor, that helps me with Stable Diffusion. This thing is really overwhelming, and even though I manage to do some prompts, I suspect I am just scratching the surface...
ya'll how can I donate to stability ai so they can rekt midjourney for ending the free trial
?
Hi guys, sorry if this is off topic, but maybe someone knows Ai tools to make a 3D model of the body and face from a photo?
can someone set up my google colab for me thru teamviewer plss like move everything i have from local into google i can pay
Was in the news recently:
humanity is faced with a choice that surpasses in importance the consequences of all the previous historical forks: A. Accelerate the development of AI based on large language models in order to use its rapidly growing intellectual power to solve the most important tasks of mankind that are impossible for humans. B. low down and deal with the risks of further growth in the power of AI so as not to run into irreversible catastrophic consequences. There is no polyphony of voices in China, and there cannot be. It is for the Chinese Communist Party to decide and for everyone else to accept. And the day before yesterday, the Xinhua decision was officially published, strongly resembling China’s final choice: option A.
Any opinions? Can non-democratic China actually achieve what neo-luddites in the West are trying to veto?
Hi there
could someone explain me with few words the differences between:
- model
- lora
- checkpoint
- hypernetwork
Model is a main file of a trained AI
lora is a small file for a specific thing to generate
checkpoint is the same as a model (a file)
hypernetwork is same as lora, but affects generation in different way
Help!
Followed the steps for stable diffusion installation in windows , double@clicking on webui-user.bat, just open and closes the command window very quickly
open a cmd window in your stablediffusion dir
in the location line of the window, type cmd
then in the cmd window that opens, do "webui-user.bat"
it will ruin the bat in the already open cmd window, which then hopefully will stay open if it doesn't run, so you can see the error
I had to redo all the steps, now it works 😀 earlier I was using Wsl now I am not, seems that was the issue
wsl?
windows subsystems for linux
I see
Infinite prompt length
Typing past standard 75 tokens that Stable Diffusion usually accepts increases prompt size limit from 75 to 150. Typing past that increases prompt size further. This is done by breaking the prompt into chunks of 75 tokens, processing each independently using CLIP's Transformers neural network, and then concatenating the result before feeding into the next component of stable diffusion, the Unet.
For example, a prompt with 120 tokens would be separated into two chunks: first with 75 tokens, second with 45. Both would be padded to 75 tokens and extended with start/end tokens to 77. After passing those two chunks though CLIP, we'll have two tensors with shape of (1, 77, 768). Concatenating those results in (1, 154, 768) tensor that is then passed to Unet without issue.
man this is kinda tough to read. does this mean that anything past 75 isn't actually fully utilized? not sure if it makes a difference if i should be using like 110 tokens for example compared to just 75
morning
how do I generate depth maps for stable difussion?
With the depth map extension in auto1111 webui
new here, idk if this is the right place to ask... is SDXL beta available via API yet?
hello, kinda new to the stable
I downloaded some poses but its a zip file and don't know which file would i put, can anyone help please?
new weekly post and this is the last one with Damon Albarn's face haha
https://followfoxai.substack.com/p/conclusions-on-learning-rate-discovery
Hey, the poses can be used only with the ControlNet Extension.
how can i add the extension? @warm junco
In the webui under extensions, click on Available, then on "load from" then you get a list and there search for Controlnet and install. After that restart the ui.
How to use is listed here. You also need some model files linked there:
https://www.reddit.com/r/StableDiffusion/comments/119o71b/a1111_controlnet_extension_explained_like_youre_5/
thank you so much
The sd-webui-controlnet
i saw in the link, thats why i deleted lol ty again
Morning
Hello all how is everyone
Hello and welcome around !
quite good, big sunshine in my face to wake me up; love it
how are you ?
im apparently using an old version of SD lol but doing fine
peopel are madly training alpaca models with lora to create chat assistants
Not sure if this is the right place to ask, but does SD have an option for converting images into "pretty" alternatives? I specifically want to turn a picture of a church into a scary halloween image for a website, but not sure where / how I can do it.
So when I upload image to dream studio - write the prompt and hit dream. It just makes 4 versions of my photo and does not alter it.
When making a Lora, the trigger is just the file name yeah? lora:ExampleStyle:1 so in the prompt I'd need to type 'ExampleStyle' or am I wrong? Using Koyah ss. This is my first try at Loras and I can't seem to get it to do the style right that I'm training on without a trigger word.
I need some quick advice. I have a bunch of tshirt and sticker designs that I would love to train into a model in hopes of allowing the ai to use what it sees and then reinterpret it into new inspirations. Basically, I don't want the prompt to just pull up the exact graphic that it was trained with. Is that possible by training a textual inversion?
sadly there is a 3rd leg testing new models
Kung Fu Panda Short made with stable diffusion AI #ai
https://youtube.com/shorts/8zv6BDaG9DI?feature=share
Hi guys, when i try to generate an immage a error message appears: "OutOfMemoryError: CUDA out of memory. Tried to allocate 64.00 MiB (GPU 0; 4.00 GiB total capacity; 2.63 GiB already allocated; 40.98 MiB free; 2.69 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF". How can i fix it?
hii guys pls i need help
when i try install stable
i have this error: ''exit code: 1 ''
how do I solve it?
You need to add --xformers --medvram
Into your webui-user.bat
Behind the Commandline_ARGS=
Come to the #🤝|tech-support with the full Error pls
if they only have a 4gb card, xformers may not help much
tiled vae is a new extension that i'm quite impressed with and i'm wondering if low vram users can benefit from it
generated a 1440p wallpaper and it topped out at 8gb of my 16gb, which is extraordinary. I usually max that on those gens and often error out
Ah wow would be nice to have a Tutorial for that
Looked at it but didnt tested around much
i just enabled it and went for it with default settings
Does it change the colors ?
not really no. i used it with illuminati diffusion 2.1 and it worked great
Okay good to know
i didn't really test seed vs seed with and without though
#1023999442338201721 message my pow submission i used it for. colors look poppin
oh neat! discord doesn't just use the big raw link now. it ties it into a tidy little channel name link
Looks really good
Gonna test Tiled vae later again hope it helps with my 8gb
in the past i wasn't able to easily make 2k wallpapers. i had to a hires fix with low denoise and hope my gpu was feeling efficient and it would complete the pass after many minutes. sometimes it would get oom error and continue anyways. Struggled process at the limits of my card.
with tiled vae i can just generate them without a hires fix! but that doesn't work well still since the 512x focus problem. Even so, now it generates them without it! and even when using it, it's faster than before! likely because the memory swapping happening with the tiled vae is so much more efficient than what happens at the limits of my card under normal operation
new model dropped this morning from dreamlike.art https://github.com/ai-forever/Kandinsky-2
oo my bad. dropped last night
okayokay hollddd up. the author be like "It's not based on stable diffusion" and is saying this is a base model
Ah good to know, but you now use it with highres fix enabled or?
i use it with the hires enabled. because then it creates a consistent image at low res first. that's another problem outside of the memory issue though. maybe that scheduler idea novelai uses might help us with that in the coming days
Hmm okay
Im testing it rn,
oh my bad. the post was just from the dreamlike.art owner. The model was created by another team i think
is there an advantage to hires fix over just using the SD-Upscale script?
hi res fix is just to get consistency on generations bigger than 512x. it's to give the larger resolution some base of focus to build off of. it's a cheap hack.
The newest versions of webui have all those upscalers tied into the hires fix now. I don't know if the SD-Upscale script offers anything above that
right on, I'll have to try it.
Anybody tried "Seams fix" in Ultimate SD upscale with large resolutions yet?
My most recent upscale took 1hr 18m and I didn't wanna re-run it with Seams fix on if it doesn't work well. But man, I need it. I got seams bad.
yeah the seams pass is easy. it does small passes on all the seams, then small passes on all the cross roads. it's not a high resolution problem at all as it's dependent on the tile size.
i wish though that we could do multiple seam passes as sometimes they don't blend as well as i'd hope. lower denoise helps
ultimate upscale is fun to toy with. it's built really well for a first generation diffusion upscaler
maybe 2nd gen?
https://github.com/VideoCrafter/VideoCrafter this dropped yesterday too
Do you know if there's anyway around having to remove your prompt when using the tool? Seems like leaving he prompt in could help coherency
you don't have to. you can put any prompt you want. The thing is though, the actual diffusion is only happening on tiles of the larger image at a time. So if your prompt is about the main subject, it'll try to put the subject on every single tile
thats what i was running into
i like to use prompts about detail instead. if its a photograph i talk about photographic details and terms. if its a painting i talk about brush strokes and textures.
interesting idea. thanks for the tip
should just be a low denoising pass too. i ride around .25 and .3 getting out of that tends to hallucinate too many new details
One last question for you. You ever mess around with using controlnet to help aid the upscaling?
I've been running canny, scribble and depth on my illustration upscales, but i can't quite tell if it's helping
no. i don't know how to integrate that really, since the script splits the image into many tiles and works each pass on a tile. controlnet would have to integrate in somehow and split it's control image over the same tiles, but then you might get a lot more artifacts
What i have done is take a final hires upscale, select and cut out a tile in an editor, rework that in the ui with a controlnet image of the original matched against it. inpainting better finger tips and other details. then taking a few good results back into the photo editor to stitch them back into the final piece. i've done this process twice with diffusion and i could probably improve it, but that sort of janky manual work i'll do a lot of
it's hard to get stuff to line up sometimes with controlnet
and with the tools as they are, it's hard to see if they're not entirely lined up
Ha. Yeah, I've been doing the same sort of laborious work
whenever WebUi finishes downloading it just says, "DiffusionWrapper has 859.52 M params." and wont give me a link. how do i fix it?
so what should i do
how long should it take?
This issue have 4 others rn in #🤝|tech-support
Yes but today 4 people got stuck at that point
Something is wrong
One guy waited 3 hours
It was a fresh install for all of them
Python path was an error for one of them
Yea but it didnt happend before that much at the same time
Yea it isnt an error
Its not
Its a big problem today as you can see here.
Its an issue for a lot and not a common thing
Hey everyone, is there any roadmap page for upcoming stability.ai SD models? (the latest available being unclip_2.1)
no roadmap. this is uncharted territory
SDXL is next to emerge. larger param set. a russian company released their image diffusion system today too. large param set there
thanks
"Escalation of commitment" is another bias.
We've been having multiple people for the past day or two coming and saying they've waited hours. fixing their etag just like mentioned in the github ticket fixed the issue.
So either they all decided to lie at the same time, or there is indeed a problem.
For sure Auto1111's UI design is not the best and tons of fluffy loading bars could be added to let the user know what's going on under the hood. But Auto1111's repository has never be focused on "ease of use".
hijacked github ticket maybe, probably
"it's just long loading bro" definitely not. cf : #🤝|tech-support message this is an incorrect etag/hash
holy moly you're a maniac. okay, keep communicating to new users poorly then. you're conflating issues to impress yourself. congrats on that mental trickery. proud of you.
thanks have a nice day
be more sincere instead of being such a chode. Conflating different subjects to impress your ego. So dumb. Go away.
Thank you so much, its work!
Will the millions of images removed by artists significantly affect the quality and fidelity of the new SD version?
Guys, does anyone know of a tutorial to install those packs of negative prompts that are placed in the stable diffusion folder, and then just use keywords to invoke them at the prompt?
question,is there any way to use stabble diffusion on mobile?
I already used
how?
the same way you use it on a pc, just access the colab links in your cell phone browser, and do the same installation process
use google collab
there may be another way, but then I don't know
yeaa do you have a tutorial or anything?first time trying smth like this
very simple brother, open your mobile browser, access the git hub camenduru link, and choose the SD version you want from the list, then everything is intuitive. you just need to login with your gmail account on google colab website
what camenduru link?
Hi there! Perhaps this is a silly question but what's the difference between installing SD locally vs installing it with Google Collab?
Is one more convenient than the other?
yea im so fucking tired i dont understande shit here
with a lot of good reasons why no.
why even ask if you didn't want a good answer? ugh. people annoy me today. it's just so senseless to be that rude about writing that much for you
If i was SD id rather worry about the lawsuits than that
I dont think the quality will drop massively because of that
Adobe Firefly does a impressive job with a radically smaller database than SD or MJ
So the number is not all
is it better to use a higher resolution or higher sampling steps?
do you have a citation on the size of MJ's or Firefly's dataset?
Adobe used only Adobe Stock and license-free/ license expired images
Midjourney basically scraped what they came across to just like Stability AI/Stable Diffusion
Which can be quite a lot. Adobe has been in the phtoography game for quite some time. Adobe stock also includes all images hosted on bridge
Yeah, but they dont use anything outside of their area and what is "ethical"
S-AI and Midjourney did scrape what they came across
my point is, we can't confidently make claims about firefly OR mj's dataset. they're closed sets.
and i hate when people put quotes aroudn ethical. I can tell you have disdain for the subject now. ugh.
So ofc they will have a larger dataset
people annoying me so much today. i'm checking out of this convo too. quotes on ethical. UGH
Well this is the third (?) time now you are annoyed by someone and you still answer to all 3 ^^
don't twist words. be less childish.
Bro, you are the one having a bad day, not me
weird
Between the two higher resolution for sure. But upscaling beats both
But it depends on what you want to generate
A local installation is easier and you have the full control over files and stuff. Also it can be faster if you have a good gpu.
Collab is a good way for people without a highend gpu to use SD
It seems to perform worse at 1920x1080 for example (person duplicated like 4 times). Unless I'm doing something wrong.
So i think staying under 1k in either dimension + upscaling would be best right
Yes because the models are mostly trained on 512x512 or 768x768 resolution
So you need to generate in lowres and then use upscaling
To get nice images
Damn i hoped i could utilize our 24 gb vram xD
hires fix in a1webui tries to solve the resolution attention issue by starting with a small scale generation first, and then doing a 2nd pass on that at the desired resolution
it's a cheap hack but it really does provide great generations
You can utilize that by having a large upscale resolution, more hires steps, and a higher batch Size for example
Batch Size is for simultane generations
And that's faster in total?
think it took less than 2min
If you select 2 as Size its should be double as fast
Did you tried upscaling images with batch Size too ?
i have but i haven't pushed those to high batches yet. for the dataset i'm generating out , i am creating 768 images that start as 512 with a hires fix of 1.5. doing batch sizes of 10 there
i want to play around with tiled vae and batch sizes a little too
Wow that's almost too good to be true. Why does that work, are the GPU cores underutilized when there's just a single image rendering?
Like i can't imagine rendering 50000 images for the price of one if there'd be enough vram
It depends on the vram used and the image Size. So if you say 1 image takes 7gb vram. And you have 24gb you could do 3 images at once.
It just uses the vram that would be not used for a single image
Thats just an example so you could do clearly more images
Why did Emad sign against GPT 5?
That makes sense so far. But you still are processing more pixels in total right?
So that's just the question, if i theoretically had infinite vram then could i generate infinite images in batch in the time of rendering one normally? Logically there would have to be another limitation by the gpu cores
Hmmm good Question but yea the cores need to process the data stored in the vram so that would be limiting then
does anyone know in which folder to put the sd-vae-ft-mse files?
In the models/vae folder
ok, ty man!
when you gen a single image the GPU is faster than your system can process the image and save it. With batched processing it stays in vram and can work on multiple images at once as the tensor cores in the GPU are extremely fast, faster than the vram speed actually.
Guys, I know you have to take care of the models we use in stable diffusion to not get hacked. But what about those who use Google Colab, are they also at risk?
@sly escarp hey
I wanted to apologize
I did take the time to install and use stable diffusion
its good
I like it
I was wrong
💀
👍
🫰
(I'm frankly sort of disappointed there's no emoji of a hand with the thunb both up and down and at least five curled fingers for me to use ironically in this situation.)

Hi is this the stable diffusion official group chat
I want to ask in files , can we throw ckpt and safetensors in model, or any downloaded files inside model ?
maybe not a smart question but is automatic1111 the same as stable diffusion? i already got stablle diffusion on my pc, but i cant see the safetensor files
the interrogator does not work in my stable diffusion automatic1111 install - is that normal?
Yep, this is the official Stable Diffusion server. For tech support you can check out #🤝|tech-support . To answer your question, both .ckpt and .safetensors models go in the models>stable diffusion folder. I recommend only downloading and using .safetensors files, as some .ckpt files can contain malicious code.
Automatic1111 is a customized version of the Stable Diffusion webui. It has a much larger feature-set, supporting various extensions that expand workflow possibilities. If you have stable diffusion installed, make sure the model files are in your models>stable diffusion folder, then restart the webui.
when I click 'interrogate clip' the prompt box dissapears and it says in red text ERROR - the command prompt gives: {'error': 'IndexError', 'detail': '', 'body': '', 'errors': 'list index out of range'} - followed by much more info
ah, guess this is also tech-support food 🙂
I've had issues with the interrogator in the past, though haven't really tried using it recently. And yeah, tech support food ^-^
do i need Automatic1111 to run the safetensors? i restarted it and it didnt show it, it only shows ckpt files
i swear i feel like i draw all of my drawing after all the research of prompts lmao
I'm fairly certain the base webui works with safetensors. Are you certain the safetensors files are models? Or are they LoRA?
not sure what you mean by LoRA. i got it from civitai
if u want i can share my screen, maybe you ll know if i did a mistake somewhere
It looks like i need Automatic1111
Regardless of whether you need it, I would definitely recommend it. Auto1111 webui has a much larger feature set than base sd webui. As per why your models aren't showing up, I don't have an answer for that one :V
is Automatic1111 kinda like an addon or do i need to follow the steps of the github? i already got stable diffusion
it is a different version of the base sd webui. Auto1111 has its own install process and should be in its own folder.
hmm okay, thnx
yooo
can anyone guide me on how to make my own models that can create backgrounds
consistent backgrounds of a certain quality
that would be great to know
Hi guys, I'm toying with segmentation preprocessor, the goal is to get this kind of result. However when I tried out, my result, while having the segment correct, the color is really yucky. Have anyone had any issue with this?
anyone have images already prepared for a LORA or a link to such? I want to try to generate a LORA but with an image set I know works
where is the best place to upload my models?
civitai
why people mostly generate either women, or famous people in funny settings?
are people that simple and primitive
it depends who "people" is. people just starting with generative AI want to play, to have fun, and they think of lust and other small things on their mind, like making their president in stupid settings for example.
but once that phase passes up, if people stay in generative AI, they tend to progress towards art, or photography, in more generic settings
Hello
hello 🙂
not sure, there isn't txt2video in Stable diffusion as far as I know
yes, but as an extension
wich one are you referencing ?
Modelscope
yep
I am using automatic1111
8gbs vram should be enough to run on GPU with low vram vae on at 256x256 (and we are already getting reports of people launching 192x192 videos with 4gbs of vram). 24 frames length 256x256 video definitely fits into 12gbs of NVIDIA GeForce RTX 2080 Ti. We will appreciate any help with this extension, especially pull-requests.
well it takes memory in small increments, so it could be a lot more than 50mb you are missing
hard to know
but it says you should be able to run it on 256x256
torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 8.00 GiB total capacity; 6.85 GiB already allocated; 0 bytes free; 7.03 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Exception occurred: CUDA out of memory. Tried to allocate 50.00 MiB (GPU 0; 8.00 GiB total capacity; 6.85 GiB already allocated; 0 bytes free; 7.03 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
using 256
it says gpu 8gb but 6.5 already allocated?
By what?
by the script itself
ok
like I said, it allocates in small bits
a smaller VAE may help from what they are saying on that github (not sure what VAE is smaller though...)
but also, do you use --medvram or --lowvram ?
this could help
i have no vram option
this is my .bat
--port 9091 --xformers --listen --disable-safe-unpickle --disable-nan-check
you may not need " --disable-safe-unpickle ", this removes a security measure
but add "--medvram"
ok
this should reduce VRAM usage, but also slow down your image making a little
there is also "--lowvram" that you can use instead of --mdevram, but this is a lot slower
but let's move this to #🤝|tech-support if you need more help on it, let's not spam the general channel with debug please
when you choose the vae in the selection field, do you need to use the trigger words in the negative prompt, or is it not accurate?
Trying to merge models with supermerger, what is the best option to have most of all 3 models?
olá
anyone here using both Midjourney and SD? I find Midjourney to be better at creating artistic images. Stable Diffusion is godlike at making stuffs that are forbidden in Midjourney
I know it costs a lot to train these models so I wonder if there'll ever be an artistic model for SD as good as V5 MJ
Anyone here every try running SD on Azure before?
@dense mason used both, but MJ much more. MJ is the king atm in image quality, especially photorealism
Expect them to be eventually dethroned this year tho
SD is a much broader category than on centralized service. There are hundreds of models and extra networks in the SD category.
MJ is a pay as you go service. If you stop paying, you use commercial license to all your creations. Requires a perpetual subscription.
Being a mj user for over a year and then playing with SD I find it hard to justify the price. Especially since they just now added ()[]{} but are paywalling it behind their pro membership which would cost me 60$ a month... no thanks.
SD is less user friendly. it takes a lot more efforts to prepare a real environment in SD where you can make the same kind of art MJ does.
we get a lot of users, new ones, coming in here and ask why SD is worse than MJ.
This barrier of entry is what makes their price model sustainable too, they do quite some work to make your basic prompt into superb art
the civit community is super gross. they got a new website section for just images. it's filled to the brim with teenagers and dictators
can't wait for another company to step in and provide model hosting
yeah, the vocal community is quite bad there
but lots of people just use it to share models and loras
it's all we got for now
huggingface is such a bad UX that nobody will dare venture into that thicket
i dont know where civit gets their funding but scrolling through their new submissions , just how much thirsty junk there is. how do they pay for all that intake and hosting. then other people have bots which download bulk models to collabs everyday. where is all this bandwidth being funded. it's a steep task they're accomplishing. i'm grateful for what it is. but wow is it ever a thirsty crowd.
I have to wonder what the motive for spending so much money is.
damn
Only worse when you dont know how to use it tbh. Once you learn it which is arguably one barrier that not many are willing to overcome.
Its a shame MJ charges an arm and a leg.
I just shared some pics on there to change a little the steam, and I can't even find them in this flow of waifus...
i know today in particular something happeend with their image servers. clean up scripts got a little aggressive. they've unplugged a few systems there
for sure, and I explain it to people, but not everyone is equal faced to technical complexity
Oh 100% and honestly its great that you do, it helped me get set up allot quicker than it would've on my own
MJ is often used as an example of corporate control over AI, but i think we should also recognize that it's a small 6 person team and them keeping their innovative systems proprietary is actually a smart strategy this early in the game
i dont always like SaaS, has disadvantages galore. What they've created is impressive though
MJ is 0 corporation
yup
Like yeah its impressive quality but theres things like Kandinsky coming out thats gonna give MJ a run for their money. SD being open source theres always the chance of someone making things compatible
If i want corpo which i do, i go to either Open AI more or less or to Adobe
My opinion is, for artists Stable Diffusion and Adobe Firefly are the way to go
For ready to go, MJ
SD being open source makes it the main cement of most new and to come generative picture AI.
it's a good thing to build upon, it would be stupid not to use it if you want to go this road
sd being open source also allows other research teams to learn from it. kandinsky benefitted a lot from SD existing
I prefer Firefly especially for the future. But for others Stable Diffusion is the way to go probably
corporate and opensource don't always clash either. Meta released that cool new segmenting model yesterday
With those two you have the most control
With MJ you are as of now extremely limited
they also added your own gallery though, quite nice UI to share SD pics https://civitai.com/user/guizmus/images
I see it imported all my models pictures
So its a ready to go one
i'm trying to learn clip and blip right now. interested in training my own image captioning system. those were released by openai and salesforce
firefly is a webservice and doesn't run locally if i'm not mistaken. Studio workflows will likely integrate a local install of SD and a plugin instead.
And skilled artists dont mind repairing images
Right now, bcs early beta. They will implement all the models into CC apps
Firefly is very much a beta test bed. Whatever the final generative feature set is, it won't have that name
I cant wait to see if someone is able to make Kandinsky compatible with Auto1111, using just the cpkt isnt enough.
Firefly being saas just makes it a non starter for many studios. Keeping everything on internal networks is important because they often don't have the rights to license content to adobe's servers for use in firefly
When its out of beta i expect the actual explosion of it
clients sign over logo masters and branding images, stock photos, etc. you can't use those on a 3rd party service if you don't have the rights to upload that image to them
For me and many others it will be ideal. Alone because of the native integration with CC apps
i don't think adobe's plan is to let it run local
Local? Nah, they will allow customised model with your own assets
But not run locally the whole thing
You are bound to their CC likely
do you have a source on that? i've never herad them stating they plan to release the model for training
customizing a model requires having the model
Gimme a minute, but if you go to Firefly site they show the future plans
Including training on your own assets
if they're doing it as saas, that requires hosting all the trained content on their servers
if they're doing it as a local install then people will just take the model and implant it into a webui
I think the corporate control of ai is going to be a huge effort but it just won't happen
Personalized results
Generate images based on your own object or style.
Thats what it says
all these legal licensing issues are going to stand in their way, and open source is really the only path that's got a future
They are already very good with a limited dataset...in early beta. They will be huge soon
I doubt they will fall here
the only way i see it working is if a new copyright act is made to replace the DMCA that creates safe havens for these sort of licensing / hosting content issues
The amount of ressources they have and the top notch specialised people working for them, puh
Thats why i see SD and Firefly as winners in long term
And ofc those lawsuits come into the game too, gotta see how this all plays out
adobe are leading for a big reason. they have the tech and the results
And possible regulations
With 176 billion dollar worth ofc
I dunno how MJ will keep up with those two
Although MJ will have an web interface too and will likely apply those controling features too sooner or later
it's not so much lawsuits against adobe thats the problem. It's the professional studios, their meat and potatoes, that will have licensing concerns. It's basically industry wide standard practice to get signatures on everything. Hosting content on a 3rd party server gets people in trouble often already, as these very proprietary graphics being licensed out for production reasons shouldn't just be on a random cloud server if the studio doesn't own the rights to pass on to the service provider.
saas has a niche market
samsung actually had problems with this and chatgpt. and itsa huge problem. clients are going to not want to use the chatgpt api company wide. Samsung employees were pasting very proprietary documents into chatgpt to ask it questions. Samsung wants those documents secret, but their employees were just feeding them to openai servers without even thinking about it
Lawsuits wont hit Adobe i guess because they have right on Adobe Stock stuff for example
They are untouchable in that sense
chatgpt is going to hit a hard ceiling because of that. it wont get used as widely as hoped
i'm not talking about lawsuits. i'm talking about licensing issues over content between professional studios and their clients. these are the biggest adobe customers
Aaah okay
They are safe as of now
And they would be forced anyway to play smarter here and dodge the bullet
chatgpt is already a huge success. thats undeniable.
companies will be unwilling to integrate it though, since it sends everything back to microsoft servers
microsoft sees a lot of success there already with onedrive, but thats changing fast
cloud was a fad
hi i am very happy to join this server.
@astral goblet Copilot X for example seems promising
Its not perfect, but its already used by some companies etc
But it wont replace those jobs
But ofc lawsuit runs against them too
i think copilot will see it's biggest successes in the open source fields
Id want to give it a try when i get a bit more into coding
Maybe i will try it soon actually
But at this point i better should monitor my subscription expenses lol
Its a madness with me in this case
Art alone costs me thousands of € per year
Thousands
hi guys, i have a problem when i try to generate an immage with controlnet's tool. It's appears an error message: "RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling cublasCreate(handle)".
How can i fix it?
yea looks copilot x looks promising...
Without chatgpt it's...eh...whatever
But agan, probably will be good to fix little details or just to type less, but terrible at somewhat complex tasks
(since chatgpt itself is + it will need to be able to read \ remember ALOT more tokens)
so i didn't use stable diffusion (webUI) since last year, what's new and how do i install them? I saw something like T2I or controlnet? Sorry i don't know how any of this works
idk what's t2i, but controlnet you can instal as extension, basically you can have some control as how your image will look.
huuum
i'm doing what it says here :
to install from URl
but it does nothing
when i click install
You can just install it from extension tab
yeah that's what i did, i don't know why it worked after the third try
yeah i don't know what i'm doing wrong with this controlnet stuff
when i try to do the same as that, i get just some texture or paint stuff, not even getting a normal image
Heyy I got a code promo reduction on rundiffusion if anyone need it : misakuara15
also my old styles are broken, i don't know how to load them, it's like it's loading all the styles prompt at the same time.... god why do you have to relearn everything after just a few month, lol
what are the best models right now? my last ones are stable diffusion 1.4 and waifu model 1.3
was using the standard vae that came with a1111 for the past month 🤦♂️
the stabilityai 840k vae model makes some pretty noticable differences
Can anyone recommend a good model for tie dye? Haven't been able to find one.
Good idea for a lora training.
Can anyone recommend a good solution for referencing model info directly in A1111? Like usage, trigger words, recommended vae, etc.? I'm doing this in Excel rn, and it's painful.
I use the civitai.com extension and it rocks, but unfortunately it doesn't pull that data into the .civitai.info file.
where do I post images that I've made?
#🏞|general-with-images or the different Dreamers communities categories
noice
https://github.com/mix1009/model-keyword.git
this a1111 extension does exactly what you're looking for
idk if its civitai specifically but it looks like the loras that ive downloaded automatically have their keywords on the plugin without me having to type any of them in, pretty neat
i read trigger word and i immediately thought of loras so on second thought, mabey it isnt what youre looking for lol
Thanks man! But... the civitai extension does that as well, also pulls in images for all the loras, checkpoints, etc. Then, you can just click on them to load them, or add them to the prompt. Super useful. I guess I'm more looking for a quick reference to the description details on the model page.
Hi!, do you know if it safe to train stable diffusion with a original artstyle with google colab?
no, you might contract Ligma from doing so
you mean safe as in if google will steal your data or something?
Yeah something like that. Is my original artstyle, but I don't have money to buy a pc with all the specs to run stable diffusion
I think google steals all data as a business model, why else would colab be free, but on the upside they steal so much data yours flies under the radar 👍
it's been free for a long time
initially Emad shelled out a metric ton of dollar bills and trained the base model, then other people finetuned it for things like anime, mostly for fun
i have tried it a bit - via webpage - i see there are also forks - forks are using own engine or they still use stable infusion?
it's free if you run it on your machine, running on other people's computer usually costs money
sure
So i guess that i have to be the greatest artist of all times to be robbed. I'm so far from that lol
I just want to make my pics faster 😂
i can share some images I have made however they are nsfw
Where do we go to diffuse now?
I was only using it during the beta and now all channels are restricted :c
free to use - means some sort of api access?
option A) download automatic1111 and run it
option B) pay credits on one of the many sites including the official one
What is automatic1111?
How good a PC would you recommend to try and run it yourself haha
I have access to gpu cloud if it helps
it's a project by some guy from vietnam that eventually grew thanks to tons of contributions from anons across the globe
it has every feature you could think of and then some
How is it compared to midjourney tho ?
harder to use, more control, possibly better results (you can do anything on it), usually worse results if you're not good at using it
you need 4GB+ of VRAM
ideally more
Im down for a challange, got 8gb vram
Possible to get a a link ?
you can use it for any styles, train your own, etc
dunno if it's possible to link it here because the guy had some beef with NovelAI and they banned him from this server (that's all I remember)
just search for automatic1111
he's on github
I was never good with github lmao
you might be better off just paying for credits on a simplified UI then
Thanks anyway
is there an ai art server that is platform agnostic? to discuss different platforms and open source tools
i am making one myself for fun 🙂
just to see how it works
Stable Diffusion is a latent diffusion model, a kind of deep generative neural network. Its code and model weights have been released publicly,[4] and it can run on most consumer hardware equipped with a modest GPU with at least 8 GB VRAM.
neat
@manic wraith are you an artist?
wife is
Does she hate this? I'm an artist myself but I'm not sure what to feel i just want a pc assistant because I can't draw so fast
nah, she's one of the few ones that doesn't but doesn't speak out because it's such a drama rn
I already installed colab and everything do you know how to set up to train a model? or where can i find a good tutorial
she's super pro, too, and would wish it wasn't such a drama because then she could offer free BG options or stuff like that
I want to train in my own style but not share it publicy
it is better to share it
img2img is a cool way to get ideas also when you're stuck
as to model training well I am new to it - I did read on gan big gan
there's a Colab, the magic keywords should be something like "SD Colab Lora"
adversarial training and other training approaches
GAN is older, Diffusion works different and its a concept from physics actually
there are other clues from physics to improve the process
Different how?
Thank you! Best wishes to your wife in her road to ai art. I'll check the training process
I think the more AI art is out there the more oil paintings will cost 🙂
unless of course they will be painted by ai also
ty
The goal is to train a Machine Learning model that learns how to go backwards through time, reversing this corruption process. If we can successfully learn such a mapping, then we have a transformation from a simple distribution (Gaussian, in the case of Diffusion Models) to the data distribution.
hmm
i am not sure it will work well
The laws of physics, therefore, provide an invertible mapping between a simple distribution and the data distribution
it says it can avoid mode collapse hmm
sits on a stool, cinematic lightning, holding a microphone, looking into camera, photorealistic, detailed face, unreal engine, pixar--q 2
Is there a way to blip2 on less vram? Clip inspector is comically bad.
I looked on that page and couldn't figure out how to install other models. Do you know how to do that?
I was just linking it as its online so no vram use for your pc
Thanks, I was looking to just alter the version I have on my computer.
New stable diffusion competition: https://www.reddit.com/r/StableDiffusion/comments/12dexp5/stable_diffusion_competition_week_1_part_2/ ! Hopefully more people on it this time!
Are there any guides out there explaining how to use Stable Diffusion legally for commercial purposes?
Rule of thumb, is do NOT use key word references to someone else work or source. if you want a picasso, dont say picasso say "infuse geometric shapes into the image" or something like that.
The moment you reference someone else's work you hit the legal marker
Artists are inspired by other artists.
The other thing to note is read the license for the model your using, The general terms allow for commercial use. However some models are specifically trained on an artists source material, if this is the case then it will likely be copyrighted material.
I am literally using a 3D model which I licensed legally, and painted myself in a 3D program, to generate input for img2img. Whenever there's ambiguity, such as whether a streak across the character's neck is a scarf or a choker, I often need to break the tie by editing my prompt to specify what it is. Style is not copyrightable, the pose is mine, the colors and shapes are mine, and the interpretation of what those colors and shapes mean is also my original work. Anything that comes from the training data is a smear of color swatches sampled from, I assume, thousands of images.
If I personally did this by hand, using the eyedropper tool in Photoshop to sample pixel colors from other images, I'm pretty sure it would still be transformative to the point of Fair Use.
Thoughts?
(To clarify, by "input for img2img," I mean the image on the left in Automatic1111. Not input data to train a new model.)
take mine with a grain of salt.
The legal argument doesn't matter, especially in your specific case. You're creating a majority of the original material, so no one worth your concern will come after you.
That's what I thought. But I'm listening if anyone wants to play "devil's advocate" and present a counterargument.
I agree. The only issue is you cannot copyright AI work, so someone can steal your work.
What about editing in photoshop after generation?
For that matter, if I edited the image, it won't even have tags in it anymore. How will anyone be able to prove AI was used to make it?
And surely the work my image is used in, such as a game or a movie, is still protected? It's not... an image.
At worst, it's a curated anthology. At best, it's a derivative work with its own seperate copyright from the individual output images used to make it.
I just figured the most likely threat would come from a huge corporation suing end-users just for the hell of it.
"Time-Warner owns 5% of the images used to train the algorithm you downloaded! Pay up, chump!"
You know, business as usual.
Then again, I suppose I didn't train the algorithm. I acquired it in good faith.
Only a matter of time before Big Media passes new laws to favor themselves as the only ones allowed to use AI , of course. But until then...
I wonder how effective such laws could even be. The tech is open source and widely used, which means the genie is pretty firmly out of the bottle.
hi
i remember reading that it's actually not too pricey (all things considering) to rent the hardware necessary to train a model for a few hours
good morning everyone
nice interesting questions
so to do a new model from scratch, yeah, you'll need lots and lots of data, and computing power. Last person I saw that tried used around 300k photos for the model training
Depending on if you start from scrach or from a base model, more or less training will be required, but you would test this like in any other training : test for bleeding, overtraining and bias
yes, 1.5 is the 5th iteration of 1.0
Can I create embeddings indefinitely?
I don't get that question
what do you mean
if you are training a new model, you aren't training embeds
ho ok
concepts
not embeds
I have a problem that says "AssertionError: Dataset directory doesn't exist" not sure why it happens, I´m using my images folder route
on an existing model, you can train as many Text inversion embeds, you can use multiple at once
but only 1 lora embed per prompt (unless composable lora extension)
no, i'm running from Colab
Yes it does checkpoint. You usually have some params like "do checkpoints every X steps, starting from step Y"
so you can revert to previous states of the training if you overtrain
lol
that's a lot of steps for 30 pics :p
it will be burned x)
well depends on the GPU I guess but still
no idea what you are talking about, i don't see those options
I wrote a guide that does attack on some of those points https://github.com/Guizmus/sd-training-intro#evaluating-the-training
but to respond already
overtraining : burned outline, the input pictures in your dataset almost come out of the model
bias : some feature come out unprompted, consistently.
bleeding : the main concept taught come out on everything
Anybody guide me how to create hindu god image in stable diffusion automatic 1111
Thank you now i get it sorry to sound so newbie but... i'm new with this 
you test bleeding by running prompts at 0 CFG : if your concept shows, it means it has bled. It needs more regularization data or less training
You test bias by running lots of prompts and seing bias show up. you fix it by hunting in your dataset for examples of this bias in too many pictures, and you remove some
You test overtraining by runing seeds on your main tokens, and see that the outline is burned, or that the face starts to have pixelated artefacts. You fix it by having more diversity in your photos of the concept that overtrained
good one already, but if you want to train a full fine tune like this, you are facing multiple days/weeks of continued training from what I got
using the right tool for it will be quite essential too, you should try different ones and see what brings you the most img/s trained, on what batch size, ...
(nice ELI5 here, well worded)
you're a really good explainer
how much experience do you have training models for now ?
I would suggest you start with a little smaller project, to expend on your dataset/evaluation capabilities. Like training 10 concepts at once in a model and having all of those respond correctly already may open your eyes to some of the dangers here.
Because you won't be able to test bias easily once you have 1000 concepts for example
Instead, training a smaller model for 20 minutes and learning from it, and then expending to larger models, seems like the way to go
yes, that also lets you balance each concept individualy
then you can store those 30 pics as an OK dataset
and start the next one
the goal will be to have lots of OK dataset that train using the same params/total steps
so that you can then just put all of those in a single training
I mean as a dreambooth, not as a full finetune. Check the guide, I give some tips on the number of pics, but usually, I use around 10 to 15 for a single subject (like a character) and 50 to 100 for a style$
yes. tags are very important. The tokens you choose are the ones that get trained. In particular, check what Attention is :
Each step of the training, a batch of pictures is trained, and the weights of the model move a little. Those changes happen slower or faster, depending on the learning rate you use. This "budget" of changes that could happen on a single step is called Attention, and is split amongst the tokens you used in your caption.
Adding more tokens to a caption then has multiple effects :
it slows down the training on each single token. This may require more total steps to produce the same results, or to use more trained tokens at once in your prompt later on.
it looks for the more fitting parts of the picture for that token and associates with it the changes. This means that describing a feature in your caption can prevent that feature from being associated with the other tokens. As an example, if training on a character that has a tie in half the shots, adding the token "tie" would reduce how much of the tie feature is associated with your character.
it spreads the training on more weights of the model, and reduces the need for regularization.
I go in great details on the dataset techniques in that guide
Token : Common sequences of characters found in text. Usually about 3/4th of a word, they are the parts that constitue your prompt, and the keys to accessing the weights you are training. Choosing a token is choosing a word to train the model on.
(I have a full terminology section for all those concepts)
bleeding is when your concept starts to be associated with too many tokens
it starts to show up whatever the prompt then
it's when your dataset isn't precise enough on your concept, or is wrongly tagged, and the training doesn't stick to modifying just the right tokens, it modifies everything
well
the highest is the best
and only depends on your vram
highest batch size will do :
- multiple pictures trained at once, faster
- better training quality. up to a point, diminishing returns after batch size 6 from my tests
yes. testing your tools and taking note of some params are important :
- the time it takes per image to learn
- the total time it takes to "cache latents"
yeah but on what batch size ?
1 ?
so 4.3-4.8 img/s
this is what you need to keep. it trained around 4.5 img of the dataset per second
so if you had 100k picture, each epoch would take 5 days
and you usually train for hundreds of epochs
(an epoch in this context is going through your whole dataset once)
yep
for styles, I usually train 100 times per picture, total
on 3090TI (what I have), I can train 50 pictures in 10 to 20 minutes, depending on my params
you can technically pour as many pics as you want into it :
- more pics = longer epoch
- more pics = harder to detect the bad sides of the model (lots more testing)
but there isn't really a hard limit on number of pics outside your own time
with good ventilation you can go for long
but for such training... datacenters are better
you at least keep your computer to yourself to do other things, and it can even cost less to you in the end
going on a 80GBVRAM card can let you go to batch size of 40+ on some tools
I upgraded last year, a little after joining the server ^^
I almost went for an A100
yeah but damn efficient :p
I didn't go for it in the end
because of the noise
and that I didn't want to turn one of my rooms into a refrigerated datacenter
3090TI is already a big beast, 24GB
let's start a training by the way, I have a dataset ready :p
I do models for the server here every week
just launched mine
here are my models
they are trained in a special way I have to say
ho
that is a little slower imo. I use everydream2trainer
"in a special way" explaination
The "classic version" responds to tokens for the 4 elements.
The "user token version" is trained on dedicated tokens per user, and doesn't work like you may be used to.
I try to make a model out of all the submissions, for people to continue enjoy the theme after the event, and see a little of their designs in other people's creations. The token stays "SDArt" and I balance the learning on the low side, so that it doesn't just replicate creations.
The pictures were tagged using the token "SDArt", and an arbitrary token given to the user that submitted it.
all the Automatic other dependencies overhead takes lots of vram and doesn't let you go as high in batch size, so it's slower
this is deterministic. most tools do have a "seed" for training too
This is what one of my training params file look like
"amp": true,
"batch_size": 4,
"ckpt_every_n_minutes": null,
"clip_grad_norm": null,
"clip_skip": 0,
"cond_dropout": 0.04,
"data_root": "F:\\AI\\Data\\Datasets\\Preparation\\CoW\\prepared\\futuristic clothes",
"disable_textenc_training": false,
"disable_xformers": false,
"flip_p": 0.0,
"gpuid": 0,
"gradient_checkpointing": true,
"grad_accum": 1,
"logdir": "logs",
"log_step": 25,
"lowvram": false,
"lr": 1.5e-06,
"lr_decay_steps": 0,
"lr_scheduler": "polynomial",
"lr_warmup_steps": null,
"max_epochs": 100,
"notebook": false,
"project_name": "SDArt_FuturisticFashion",
"resolution": 512,
"resume_ckpt": "F:\\AI\\Data\\Diffusers\\stable-diffusion-v1-5",
"sample_steps": 100000000,
"save_ckpt_dir": null,
"save_ckpts_from_n_epochs": 100,
"save_every_n_epochs": 20,
"save_optimizer": false,
"scale_lr": false,
"seed": 555,
"shuffle_tags": false,
"useadam8bit": true,
"validation_config": null,
"wandb": false,
"write_schedule": false,
"rated_dataset": false,
"rated_dataset_target_dropout_percent": 50,
"zero_frequency_noise_ratio": 0.02
}```
Can you clarify what it would be an infringement of? style is not protected under U.S. law. It's not protect-able. Any artist is allowed to ape any other artist's style. Just not their intellectual property or their expressions.
automatic uses one of the base dreambooth implementations, adds LoRA into it too if you want, and works on ckpt mostly
The tool I use doesn't work exactly the same, there isn't "reg data" at all, it's a big soup of all my dataset using the file names as prompt for the corresponding picture, and works on diffusers directly
hi
.....
hi and welcome but you'll need to change username to stay around here mate 😉
I changed it for you for now, sorry
ok training has ended
let's test it :p
using automatic, if you interrupt, it should make a save point at the step you are at
it will resume, but it may not be 100% the same as if you had just ran it continuously
in particular, very small changes making it not deterministic to reproduce, in the order the images are trained on
it seems really long already, you have a good card, doesn't it has created some checkpoints already ?
I would test what it gives right now already yeah
training for a full day is no way to learn
I'll post some test results in #🏞|general-with-images when they look nice
I'm just testing the 32 tokens I trained
what is the difference between Inpaint area and Mask mode ? I sort of understand what Mask mode means, basically inpaint whatever is masked.
But what does Inpaint area means?
It has like two options
Whole Pictture and Only Masked
using "only masked", only the masked area will be given to img2img algorythm
That means that, if you mask a face for example, it will be generated with lots more details, but also you need to adapt your prompt to represent only what is masked
this option is basically how much context you give to the AI too
nice !
it/s will be slower, but each iteration is of the size of the batch
Went in for the first time. There's so much here. Where can you ask questions? 🙂
tagging purple eyes isn't always the best imo. I tend to opt to tag less and not more
welcome around ! about anywhere, but depending on your type of problems, I can guide you more
tech problems are mostly done in #🤝|tech-support
and we have lots of dedicated chanels for specific problematics
but the general chat is cool too
we can't post pictures in this current channel though
Prompt tab Image browser. Is it possible to increase the number of simultaneously viewed pictures from 36 to 50, for example. And how photos get into the Favorites tab.
It was slowing down too much my automatic this extension, I removed it. But it should be possible I imagine.
Such settings go into the file "ui-config.json" usually, if the extension creates such option
you can modify all sliders of the UI in this file
(it requires to restart automatic for the changes to happen)
I'm not 100% sure it's available for that extension though
Thank you.
I don't see it in there :/ (i installed the browser to test)
nice, did you vary on the background too ?
nice
should work. I wouldn't have removed the glass though but yeah
not sure what you mean there. Don't use transparency though, it's rarely giving any good results, mostly bad
Tell me how to use Artist to study in Stable Diffusion. I can not understand. It seems to be absolutely simple. But where is the button "apply" style, I can not understand.
apply style is a feature really nice. I made a little guide on it here : #🤝|tech-support message
it's not through studying artists though
it's just making prompts for you
Thank you.
seems on the high side of things. Unless you are a transformer, some of those may be too many.
Having lots of pictures, when the face stays the same in it, may bring some difficulties :
- you will need more total steps for the training to understand all pictures, so it may start to hammer the rest of the model too much : regularization may become more needed
- some details may repeat more than others and overtrain faster. Imagine if your nose overtrains but not your eyes, because removing the glass in half the pics made the eyes train slower for example ? This will happen a lot less on a lower step count, so less pictures can be better
as for the caption, both schools work, but I prefer the second one, it has less chances to fail
1/ first school is using a blip caption, and replace the "a man" by your choosen token, and fix some captions that bugged.
2/ second school is to tag all your pics the same : with only your token
having the same tag on all pictures is quite strong. as long as the dataset is diversified on what it presents, it will only learn what is static : you. not the color of your shirt or the background
initialization text is what to put inside your token at the start of the training. You can put a prompt in there, it will use the weights to initialize your embed
it brings it faster to the good result to initialize with a good description of yourself, your ethnicity, ...
put either "a man"/"a woman" or a longer description of you in there
and for the vectors per token, this represents 2 things :
- how much your embed can "store" data. the more you put the more details it can have, but also require more training
- how many tokens in your prompt will this embed cost to use
usually for a single character/person, we use 5 to 8 tokens
do your hair change in the pictures ? ^^
do your glass change in the pictures ?
because adding those tokens to your prompt will make it so :
- that the tokens "short hair" and "wearing glass" will more resemble YOU
- that your token on its own, without "short hair", may make other hairs
so I wouldn't specify the hairs at all in the prompt
those are just "you"
same for the glass
you can specify the shirt and the background for example
but don't put any of those 3. There is not really a use for those. And I'm not sure about the convention itself
@vast ingotAre you the one who developed the automatic 1111? Please accept my respect!
lol nope
it's AUTOMATIC#1462 that did develop this
I'm just a moderator and community member here
@vast ingotThank you all. It really changed my life for the better 🙂
really I'm just the same as you here : a community fan, that may have got implicated a little more in the community but I'm no developper on any of this, just a user that has been around for 8 months
I wonder how the program will change in 8 months? Will I understand everything 🙂
same as before : #💬|general-chat message
none at all
no hairs, no ears, no nose, nothing
only the things you don't want learned : shirt, background

