https://github.com/ddPn08/Radiata
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Stable diffusion webui based on diffusers. Contribute to ddPn08/Radiata development by creating an account on GitHub.
H@Furkan Gözükara SECourses
Z@hopeyan does it run better than automatic1111?
RYou still like webui dreambooth better than koya/Lora? Your video on Kohya Lora looks really good
Zdeepfloyd has to cut down on it's vram usage, 16gb is kinda ridiculous for making some text
МIt turns out that you can enter an arbitrarily long request into a negative prompt and its accuracy will not decrease?
Fyou are welcome. yes torch 2 has 8.7 dlls
Fvery nice supports DeepFloyd IF
Fi should make a tutorial for this
Factually i am comparing atm :d
Fdoing rank 128 192 and 256 lora training
Fi have done dreambooth
Fwill compare
Fye even lowest is high
Fbut in video i used kaggle
Fso everyone will be able to use
Fno it will. negative prompts also do affect your final results significantly
Ddr. F did u ever figure out the batch loader for control nets?
Das in dif batches for each control net seperately
Fyes there was a pull request and it had worked for me,
Fwow lora super memorized the background and clothing interestingly
Fi will test with captions
Fdreambooth had much better flexibility
Zdid u upload the video yet? never heard of kaggle before
Zyeah i've had much better success with captions, without, my model was burn after 2 epochs
Fstill processing
Fkaggle is even better than colab
Fye i am testing git captions
Fhere lora vs dreambooth
Zi usually do mine like this
Fi will show in a minute
Z
Zafter i do blip captions, run the following command - sed -i 's/a man/jrch/g' *.txt and replace man with woman or whatever i want, and jrch with ohwx
Rwhat are you using here?
Zauto1111 with stable-diffusion-webui-ux
Fok here lora vs dreambooth let me know your thoughts . this one lora
Fthis one dreambooth
F
Fthe training dataset was all taken same day same clothing same bg :d
Fi am also doing a new training with included captions
Roh i see. Havent tried ux yet. reg auto1111 seems ok still. worth using for training in your opinion?
Ftraining dataset
KGetting this ERROR after starting training,
" UserWarning:
also says, " Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. "
and then cache never loads , remains at 0%
" UserWarning:
huggingface_hub cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them " .also says, " Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the
HF_HUB_DISABLE_SYMLINKS_WARNING environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. "
and then cache never loads , remains at 0%
Fso you should run your python as administrator
Fare you in admin account?
KYes, i am in admin
Repoch 3 looks like the sweet spot
Fwhat do you see when you open a cmd and type python
Fthanks. i will use these examples for another script hopefully in next video
Fusing AI to sort most similar images to training set 
Fcurrently doing another lora training with captions