Did you use elevenlabs?
Did you use elevenlabs?
RIs anyone else having this issue when generating i2i: FileNotFoundError: [Errno 2] No such file or directory: NEVERMIND: problem occus when adding [prompt] to filename, resulting in too long a filename for python on outputting. Solved by removing the prompt from the name. Anyone know how to preserve the beginning of the prompt in the filename??
Fnope too expensive
Fthere is api option of automatic1111 have you looked at it?
Fthere is documentation here https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Images-Filename-Name-and-Subdirectory
GitHub
Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui development by creating an account on GitHub.
RI used the doc to change the filename with the prompt in it, but when I send it image to image there's an error because of this change. Anyway, I guess for now I can't include the prompt. I'd like to have it in the filename so I can sort my renders into smart folders in my image browser, which uses the keywords in the prompt. But auto1111 seems to be broken. Cannot image to image when the fjlename is so long. See what I mean?
Fye very long file names not allowed by default on windows
Fi think you can try regedit
BHas anyone gotten better output on any repo than JoePennas? It's always the best no matter what I've tried. It's just sooo slow relative to newer optimized diffusors repos
EHey Guys, new to this community and generative AI space. Curious, What's the difference between LoRA and Floyd IF?
RWeird though. It should be cutting it
Flooks like a bug
RI will do some research
Tgetting this error trying to reinstall and cant fix
"Error no kernel image is available for execution on the device at line 167 in file D:\ai\tool\bitsandbytes\csrc\ops.cu"
"Error no kernel image is available for execution on the device at line 167 in file D:\ai\tool\bitsandbytes\csrc\ops.cu"
KShit... My A1111 is borked (again). Just suddenly it won't start. I have managed to start it without --xformers, but that has allways worked before. Maybe I need to update to 0.0.19 (I was running 0.0.17 which worked better than 0.0.18), but now for some unknown reason it's not working at all
KI just don't remember how to install a specific version of xformers :/
KI know it's in at least one of @Furkan Gözükara SECourses videos, but I don't seem to be able to find that either 
KFound it...
Activate venv
pip uninstall xformers
pip install xformers==0.0.19
Worked for me
Activate venv
pip uninstall xformers
pip install xformers==0.0.19
Worked for me
Fwelcome what you are trying to install?
Fto install latest version
Ftype pip install xformers==dev
Fit will list you all latest versions
KThank you! 
KMy installation had somehow stopped working. It does from time to time. Dunno why, but I'm installing a shitload or other AI-tools and updates all the time, so it probably have something to do with that. I just wish all tools used venv so the installations was separate form eachother
KWell... Now it's running again atleast
FYouTubeSECourses
How to install Python, have multiple Python installations, set system wide default Python version. How to compose venv for any Python installation, change Python default path, and install SD web UI properly. Discord: https://bit.ly/SECoursesDiscord.
If I have been of assistance to you and you would like to show your support for my work, please...
If I have been of assistance to you and you would like to show your support for my work, please...
FI am working on a tutorial for locally using DeepFloyd IF with a nice UI
Kproblem is... My day is only 24 hours I'd like at least the double to be able to both keep up and actually use the tools for something other than just testing stuff
KI have no idea how you get the time 
KI'm planning to watch this next "Longgboi 64K+ Context Size / Tokens Trained Open Source LLM and ChatGPT / GPT4 with Code Interpreter"
Fthanks for replies. ye i am sleeping lesser and spending huge time nowadays really really hard to keep up
really really hard to keep upKYeah like... I just stubled on LORA block weight... WTH.... What is that? 
JI am using Dreambooth using your guide (which is awesome by the way!) but I get the following error when trying to train a model 'Please check your dataset directories.' I have my images in the following folder C:\johntrain and this is what I entered into the Dataset Directory. Do you know what I am doing wrong?
JIgnore me, I restarted my webui-user.bat and it fixed it!
Fnice
RIs there a necessary correlation between the base model used for training Lora and the generated class dataset? Does the class images have to be generated by the base model used? Are we attempting to pass the model weights (bias?) to the trained Lora model? Trying to understand the underlying logic @Furkan Gözükara SECourses
Fif you use other images than the model you are training on, it will do also fine tuning according to those new images
Fso the model original knowledge of that class will change
RSo one should try to use images generated by the base model used for the Lora in order not to mess up the models own fine tuning. I'm going to test this out
Acan someone help me with this error on runpod?
message.txt16.42KB
Fwelcome
Fwhat are you trying to do_?
Ai try to launch relauncher.py with python relauncher.py
Ai just finished setting up my runpod using your videohttps://www.youtube.com/watch?v=zA4LksIVas8&t=334s
YouTubeSECourses
RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. How to install latest version of Automatic1111 Web UI and #DreamBooth on #RunPod. If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 
https://www.patreon.com/SECourses
Playlist of #StableDiffusi...
https://www.patreon.com/SECoursesPlaylist of #StableDiffusi...
Abut before i never encountered this error
Ranother question. Batch size will affect how exactly the learning rate? I know one should divide total steps by batch size to get the number of steps. So for a training of (12 instance images x 10 epochs x 80 repeats) (total 9600steps) / batch size = 1200 steps... I use batch 8 to speed up the process, but does this degrade the learning rate or loss? And I guess 1200 steps is on the low side. I should be rather between 1500-3000 steps after batch divide, correct?
Awhat.... now it worked, i haven't done anything, just stopped and started my pod...?? maybe some bugs related to runpod??
JHey guys. Thank you Furkan for your contributions!
I've a question. I'm running Dreambooth trainings with the A111 SD extension. I've a Nvidia GeForce RTX 3060 12gb. For what I've seen from your videos, the card should be able to make 5-7 it/s right? I don't know if anyone here has the same card and does trainings...
I'm stuck in 2.5 it/s and can't go any faster, I've tried a lot of things. Do anyone here know what things I should test or check to see if there's any issue or that's the expected card speed?
I've a question. I'm running Dreambooth trainings with the A111 SD extension. I've a Nvidia GeForce RTX 3060 12gb. For what I've seen from your videos, the card should be able to make 5-7 it/s right? I don't know if anyone here has the same card and does trainings...
I'm stuck in 2.5 it/s and can't go any faster, I've tried a lot of things. Do anyone here know what things I should test or check to see if there's any issue or that's the expected card speed?