or anyone able to help me with my 4090 just getting 3.5it/s?
or anyone able to help me with my 4090 just getting 3.5it/s?
Fkohya is slow
Fdreambooth extension of web ui much better
Falso better quality
R
Fhave you seen my videos?
Ri think i just watched one 
Ron kohya
Rbut can i do LoRa in dreambooth extension of automatic1111?
Ralso is 16it/s in line with what to expect from a single 4090 in automatic1111?
A@Furkan Gözükara SECourses hello. I just watched your last video. Amazing stuff. One question. You said you trained The model based of The settings in that video but then you said you generated The images using realistic vision. I dont understand how that works.. Or did you train The images on realistic, because in The video you use The standard model..
Fyes you can do
F16 it is low
FYouTubeSECourses
Discord: https://bit.ly/SECoursesDiscord. RTX 3090 review along with RTX 3060. Stable Diffusion, OpenAI's Whisper, DaVinci Resolve and FFmpeg benchmarked. 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
Summary And Conclusions PDF
...
https://www.patreon.com/SECoursesSummary And Conclusions PDF
...Fye i used realistic vision with same configuration. so classification images and used model was different only
Fanyone reading can you please upvote i appreciate it : https://www.reddit.com/r/StableDiffusion/comments/137unbi/novel_how_to_find_best_stable_diffusion_any_ai/
Fwhat video i should i make next
Rsteering, biased
Rcan you passivly train with lora captions? like using the captions of the images which dont all represent the same object but the same theme make that theme bleed into the composition even the lora was focused on a very different object.
Fsure you can train with captions. i prefer captions only if fine tuning model
Rna iam not about training with captions but passivly train the lora and composition to be biased
Fwhat you mean by that
Rlets say you train a lora on car rims, just rims. but u use mainly pictures of cars with rims to train the lora and have the captions be very detailed about the cars to train the lora about the rims to have it focus on the rim, but will the cars bleed into a composition later if you only want to show a stack of rims
Rcan you use to passivly train the model to be more defined in regards to cars?
Rso basicly like priming LLM
Fpassive training is unet
Fso as you do unet training, the unet will likely to output your trained images
AI found this tutorial (https://www.youtube.com/watch?v=rlfhv0gRAF4) and this extension (https://github.com/CiaraStrawberry/TemporalKit) that makes the face replacement a lot quicker. I haven't gotten perfect results but the process is simpler
FTwitch
How to do Free Speech-to-Text Transcription Better Than Google Premium API with OpenAI Whisper Model
Rreinstalled A1111
Reverytime I start webui-user.bat
Rit spends a lot of time "Installing requirements". And its always the same requirements
RDoes anyone know the arguments to skip this?
Fi also looked for wiki for this
Fthere werent option
Uwith the same contents of YT?
S--skip-install is used in the webui-user.sh file. Seems to work for me in runpod.
KThat's a very usefull video thank you very much for sharing. I asked ChatGPT to make shorter reddit title using click-bait type (imo it's fine since you always deliver what you said) and it gave some interesting ideas:
Original "How To Find Best Stable Diffusion (any AI) Generated Images By Using DeepFace AI - Step By Step Full Tutorial - Let The AI Find Best Images For You When You Generated Images With LoRA or DreamBooth or Textual Inversion Or Any Way - Can Be Used For Professional Tasks As Well"
>> Effortlessly Discover the Most Striking Generated Images with DeepFace - Step-by-Step Guide Inside!
>> Stop Wasting Time! Let AI Find the Best Generated Images for You - Step-by-Step Guide Included!
>> Find the Best Images with SD and DeepFace - Save 100 hours this week - Full Tutorial Inside!
>> I let DeepFace find Perfect Images among 1000 results - Save tons of time"
>> I'm tired of checking 1000 SD images manually so I let Deepfake do it for me
>> SD on Steroid: Check 1000 images in seconds with Deepfake
Original "How To Find Best Stable Diffusion (any AI) Generated Images By Using DeepFace AI - Step By Step Full Tutorial - Let The AI Find Best Images For You When You Generated Images With LoRA or DreamBooth or Textual Inversion Or Any Way - Can Be Used For Professional Tasks As Well"
>> Effortlessly Discover the Most Striking Generated Images with DeepFace - Step-by-Step Guide Inside!
>> Stop Wasting Time! Let AI Find the Best Generated Images for You - Step-by-Step Guide Included!
>> Find the Best Images with SD and DeepFace - Save 100 hours this week - Full Tutorial Inside!
>> I let DeepFace find Perfect Images among 1000 results - Save tons of time"
>> I'm tired of checking 1000 SD images manually so I let Deepfake do it for me
>> SD on Steroid: Check 1000 images in seconds with Deepfake
AThanks, my latest DB model is almost completed after your latest video instructions, will be intressting.. I think your next video should be about EveryDream2 and comparing it with dreambooth.. I've been messing with it for a few weeks and I find it to be able to reproduce much better images than dreambooth and a much more styled manner BUT, it is not as consistent as dreambooth, in my experience one has to produce more images to get "good" images, with dreambooth you get more similarity but the price is styleization.. But that's just me, you are much more adept at these things, it would be intressting to see what you come up with..
Abtw, about that info, are the images you are showing there in the video upscaled? I could see from your details that it's using a model called analog madness, you didn't mention any of this.. seems it might be important..
Fyep
Fthanks i am going to add this to upcoming tutorial
Fthank you so much. i asked mods of the reddit to delete old and repost with a better title
FEveryDream2 is same of dreambooth extension without using classification images in theory. but practical implementation matters
Abut it seems one can train much further than with dreambooth, and use many more images, and no need to resize and make 512x512 etc.. I get much better stylization there anyway..
Aon another matter, something has happend with my xyz plot, when I use the method for checkpoint name it loads weights from the wrong model, a model that I haven't even selected.. It's very strange, do you have any ideas?
Abtw, the images in your vidos, are they before or after the upscale?
Anot really sure how to upscale with the analogmadness model, that would be useful.. and again I'm not at all getting the same amazing results you are.. that's why I'm asking if your videos you are showing in the vid are upscaled..
Fmodel loading system could be broken not sure. there are also browser caching issues i encountered
Fthey are not upscaled raw
Fonly thumbnail upscaled with 4x ultra sharp