Fawesome
CThere are many alternatives just not ones we can preinstall for our users.
The few free alternatives I tried myself felt worse.
There are some paid vnc clients that are pretty good but again none we can provide, users would have to signup and install those themselves.
I suspect all clients will be mediocre for users outside of the USA due to latency though.
The few free alternatives I tried myself felt worse.
There are some paid vnc clients that are pretty good but again none we can provide, users would have to signup and install those themselves.
I suspect all clients will be mediocre for users outside of the USA due to latency though.
CIf you just want better file syncing, I personally use winscp on windows, works pretty well and much faster.
FileZilla is also pretty good, faster than winscp, but I like the winscp ui better for simple folder syncs.
FileZilla is also pretty good, faster than winscp, but I like the winscp ui better for simple folder syncs.
Fi think people rather looking for more fluent working connection interface
CThinlinc is the best for that. All other solutions require more work for users to install and setup.
CHere is example of a product that would be more performant but users would need to install and setup themselves.
https://www.realvnc.com/
https://www.realvnc.com/
RealVNC®Jan Intia
Secure, cost-effective remote access and support for your computer, from your desktop or mobile device. VNC® Connect enables cloud or direct connectivity.
Fi see thanks
PI just wanted to share what I did, using the tips and feedback I received from the people here, can I ask if there is a proper method of evaluate models
https://www.linkedin.com/posts/italo-thiago-3b3158216_illustriousxl-deeplearning-gpucomputing-activity-7303857523596414976-fgrY?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAADZ7uTcBFffVIJxesBcJt71j4tV36U6H7pk&utm_campaign=copy_link
https://www.linkedin.com/posts/italo-thiago-3b3158216_illustriousxl-deeplearning-gpucomputing-activity-7303857523596414976-fgrY?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAADZ7uTcBFffVIJxesBcJt71j4tV36U6H7pk&utm_campaign=copy_link
Just finished a preliminary training run with Illustrious XL using localy 2xRTX 3090s. 36 hours, 2 epochs, and 1344 CC0 images, Here some exciting initial results. The speed and quality are impressive! More in-depth analysis to follow. #IllustriousXL #DeepLearning #GPUComputing #StableDiffusion #DomesticCluster #AIart #GrapichDesign #Genai
JGreat work!
JCan you share weights?
TI use Syncthing - it's free, multi-platform, don't have much issues with large files
TI include xml config with my server initialisation script, so it requires just 2 clicks per worker to set up
PYes Sooner
Ssorry for this question was tired from attempts 
Now done x2 upscale photos, much better results, thank you!
Try today 20-80 epochs, decided add 40 epochss to compare. Very good results
Now done x2 upscale photos, much better results, thank you!
Try today 20-80 epochs, decided add 40 epochss to compare. Very good results
Awhat upscaler did you use ? Supir?
T@Furkan Gözükara SECourses Would you please update the file of Koyha (https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-112099700) (File name: Kohya_FLUX_DreamBooth_v17.zip)? I would like to try using 5090 to use Kohya (Windows) to train Flux Dreambooth
Thanks!
Thanks!
Patreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
Fjust updated for you 
Fdownload v18 and read change logs
TFirst, LOVE YOU !
Second, I have been refreshing Massed Compute for GPU for another training
besides 5090 training that now I am going to use.
So many people using A6000 at the moment!
Second, I have been refreshing Massed Compute for GPU for another training
besides 5090 training that now I am going to use. So many people using A6000 at the moment!
FFby the way you can use 48 gb config on 32 gb
T@Furkan Gözükara SECourses U know, I am not really that knowledgeable in this area like most of you here. I normally just use the EXACT config and steps you showed in your YouTube.
Fsure it will work no worries
T1 thing about how good your tutorials are is that they are so clear that it is dumb-proof. To be honest, I got zero clue what is going on with all the names in the SWAMUI and Koyha. U have made it very clear.
Fthanks a lot. some people complains but someone has to make this way
Fi got to sleep hopefully see you tomorrow
FDon't forget to change xformers to SDPA. So easy look xformers on gradio interface
TEven though i got no idea what u talk about, I will definitely look into the parameters (?) section to change it. I don't 'forget'. I just don't know
T@Furkan Gözükara SECourses Please kindly or u tell me which parameter I need to change, it turns out to be 440,000 steps for me to use 48GB config. (I guess something wrong with the parameter)
Thanks
Thanks
Fit is folder repeat
Ffix your folder repeat to 1
RI'm facing a challenge with DreamBooth training and sourcing high-quality images for training. While web scraping tools are a potential solution, they often retrieve compressed or resized images, which reduces the quality needed for optimal training results.
Does anyone have suggestions or alternative to obtain large amounts of high-resolution images without compression?
Does anyone have suggestions or alternative to obtain large amounts of high-resolution images without compression?
Fyes unsplash
For pexel
Fdirectly crawling
RThanks, Dr. Furkan! I appreciate the suggestion. The web scraper I’m currently developing is designed to handle this task manually, but before I dive into a long weekend of coding, I’d like to explore whether there’s an API for Pexels or if anyone has alternative suggestions. Since this is my first time developing an app, I’m open to insights that could help streamline the process. Let me know if you have any recommendations!
Fmaybe you can find open source crawlers
Fthey also have api
Fi mean at least unsplash
Rlooking into it now, maybe this will work! Thankyou for the help and videos my friend.
Syes
IHi guys I have been having some issues with the fine tuning of flux.
I have been trying to fine tune a car with 39 images and I am having poor results with the configuration 48GB_GPU_28200MB_6.3_second_it_Tier_1.json and with 145 epochs.
The car looks good but not that good and also the main problem I have been having is that whenever i just divert the prompt from "a picture of a sks car" then the model just reproduces a random car.
Also in the training data i don't have any prompt for my 39 images. Do you think the problem might stand there?
I have been trying to fine tune a car with 39 images and I am having poor results with the configuration 48GB_GPU_28200MB_6.3_second_it_Tier_1.json and with 145 epochs.
The car looks good but not that good and also the main problem I have been having is that whenever i just divert the prompt from "a picture of a sks car" then the model just reproduces a random car.
Also in the training data i don't have any prompt for my 39 images. Do you think the problem might stand there?
FMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
Fuse ohwx car
Ftry to describe car in prompt after trainig
Falso if still bad then you need a better dataset
Falso i recommend latent 2x upgrade
F