Is 200 epochs per image really necessary tho? 387 images in your dataset and training will be finish
Is 200 epochs per image really necessary tho? 387 images in your dataset and training will be finished like in 4 days lol 
Dhehe yes
DI can stop it earlier and test
Dbut yes is too slow
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=40)
Dany idea why my comp completely freezes when trying to install Dlib in conda?
FConvolution Rank is for other lora types as far as i know
Fmake network rank 8 and alpha 8
Fnope i am doing big test
Fi will aim 100-150 epoch
Fi have 15 classic dataset
![Dazzastrous [4090]](https://cdn.discordapp.com/avatars/871389071686135838/c4a5f4d81d9eeb18d856295d692e2c07.webp?size=16)
Ftesting newest loras
F
F
Fno face inpainting testing different results - no cherry pick
Vwhat is the current captioning/image interrogator darling thats most popular this month?
Fflorance is said to be good but i havent had chance to make a graido yet
FGitHub
Contribute to wegwerfen/flocap development by creating an account on GitHub.
VDoc, is crack back in Turkey? You've been dropping alot this month. lol
Fi was always in Turkey 
Fi am still at mountain house though
Fno face inpainting i hope we never be ahve to anymore :d
Vnice. best of both worlds, matrix ai and fresh air and sky
Fyep only issue is internet
Fit is quota based and terrible
Vthats a bummer.
Vmaybe renting a remote win10 VM in some Amazon datacenter?..
Vanyway, enough small talk. ive got alot of homework going through your August tuts. I'll check out Florence.
Fwell i am usng massed compute but dont have rmeote for windows
Fhaha 200 epoch high LR completely memorized
FI love the queue system of SwarmUI very much 
F6e05 is really good but requires 200 epoch training :/
�Florence is good but isn't as accurate as I'd hope with certain things... had to make fixes to a lot of captions. I'm still looking for something that feels more automated. This looks promising though: https://huggingface.co/spaces/fancyfeast/joy-caption-pre-alpha
VNice. thanks for sharing. I'll check it out and test it. Overall I'm seeking local/self-hosted and open/ungated/uncensored products. Found some safety features tend to mute outputs. Qwen 2 I found to be very nice but inconsistent. Regardless it delivered wow factors and that's my baseline with certain models. In the ever changing landscape I feel like i gotta ask every month to see who's on top since nerfing is a thing for the cloud stuff atleast.
�Yeah same here, I'm looking for something Local too. You can actually git clone this repo and then modify the script to be local instead: https://huggingface.co/spaces/fancyfeast/joy-caption-pre-alpha/tree/main
�I saw these instructions, but I haven't gotten around to messing with this yet
1. git clone the linked repo, it has the trained clip-to-llama thingamajig included already
2. setup the venv, or if you are lazy like me, use an existing venv from one of the other billion projects with a superset of this one's requirements.txt
3. edit app.py to remove all the gradio and spaces junk
4. replace "meta-llama/Meta-Llama-3.1-8B" with "unsloth/Meta-Llama-3.1-8B-bnb-4bit" to save space and not have to authenticate with hf
5. print(stream_chat(Image.open("/path/to/boobas.png")))
6. ???
7. profitFlooks like a good caption
Fi can make local installer
Vok not bad, its using a hot llama 3.1 for captioning. that's acceptable and meets the requirements.
VI'll set it up in the next few days and chime in on findings
VDamn, thats on point
VThe only thing that's missing is it saying, "It features the well-known ai tutelage professor Dr. Furkan Gözükara of github and youtube fame'
FNew test results starting to arrive
Results are really good however I had to train 200 epochs
I wonder if I can reduce number of epochs necessity
Results are really good however I had to train 200 epochs
I wonder if I can reduce number of epochs necessity
FPatreon
Get more from SECourses: Tutorials, Guides, Resources, Training, FLUX, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözü on Patreon
Nidentical models
CI'm wondering if its even doing anything. Because for example i tried "ohwx womas as snow white" and the lora is not even activated, just creates a cartoon image of snow white exactly how snow white is despite lora weight 100% and photo real images on same lora result in very close likeness.
It seems like the lora is only activating on photo real images, and at that point adding ohwx does nothing to change the image,
so the flux loras right now just seems to work by replace all men/women with trained person when its generating photo real image with a man/woman.
It seems like the lora is only activating on photo real images, and at that point adding ohwx does nothing to change the image,
so the flux loras right now just seems to work by replace all men/women with trained person when its generating photo real image with a man/woman.
DI read on reddit there are parameters realized by kohya that bring lora flux training under 12gb vram. I cant find anything of the like. Anyone seen these alleged parameters?
FI can try prompt what is it exactly?