Cty
KWith big boobs
COriginal model
C1girl, black_hair, breasts, cleavage, glasses, lips, looking_at_viewer, medium_breasts, multiple_boys, red_background, short_hair 1girl, black_hair, breasts, cleavage, glasses, lips, looking_at_viewer, medium_breasts, multiple_boys, red_background, short_hair
Coh nice
C@Dr. Furkan Gözükara forgive the text? Its danbooru and I use my own methodology for textual inversion 
C
CDefinitely Midjourney is trained in similar methodology, im sure of it
Fye looks like too old :/
Fwhich video you followed exactly? probably your classification image batch size too big
Fhow many did you set it?
Fwhich xformers version you using?
Fuse 0.0.14
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Cthanks
Calso it auto installed 0.0.16
Fye it is not working for dreambooth atm
F0.0.14 or 0.0.17 dev version. use 0.0.14 for now
Csounds good ill downgrade before training again, i ended up finishing my model w/o xformers and it still didnt take too long and the results are phenominal
Fyes actually without xformers
Fit is better
Fxformers reduces quality
Fbut you need like 24 gb vram for that
Cfor real, it saturated most of my 4090's vram
BF for Respect, sir. thank you very much for your contribution to AI community
Ftrue. for sd 2.1 i had to enable xformers on runpod
Fcurrently post editing runpod tutorial
F
Fthank you so much for great comment. if you are able to become patron i would appreciate very much that
MFirstly thanks for the top videos. Super useful. I'm a little confused by ControlNet, does anyone know how to access this via API yet?
C1girl, breathing_fire, burning, embers, explosion, fiery_hair, fiery_wings, fire, flame, lips, looking_at_viewer, molten_rock, moon, orange_theme, red_moon, red_sky, red_theme, solo, sun, sunset, torch 1girl, breathing_fire, burning, embers, explosion, fiery_hair, fiery_wings, fire, flame, lips, looking_at_viewer, molten_rock, moon, orange_theme, red_moon, red_sky, red_theme, solo, sun, sunset, torch
Fi think you can use their native script they have api there
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OHi I'm trying to use Shivam colab with a custom mode ( Realisticvision 1.3) from hugging face. It has all the diffusers data. In the colab, I can run the inference without problem and generate images, but when I try to train it exits with errors. I commented out the "fp16 revison" flag and changed the VAE parameter to " --pretrained_vae_name_or_path="SG161222/Realistic_Vision_V1.3/vae" "
I got "subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=SG161222/Realistic_Vision_V1.3', '--pretrained_vae_name_or_path=SG161222/Realistic_Vision_V1.3/vae', '--output_dir=/content/Rv2_weights/zwx']' returned non-zero exit status 1.
"
Do you know what the issue is? Please see the screenshots for more details. Thanks!
I got "subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=SG161222/Realistic_Vision_V1.3', '--pretrained_vae_name_or_path=SG161222/Realistic_Vision_V1.3/vae', '--output_dir=/content/Rv2_weights/zwx']' returned non-zero exit status 1.
"
Do you know what the issue is? Please see the screenshots for more details. Thanks!
Fthey have only main branch
Fchange revision to main
Fand i dont know if your vae path correct
OOk thanks a lot!! so I just change the revision parameter to --revision="main" . This is the model " https://huggingface.co/SG161222/Realistic_Vision_V1.3/tree/main". Thank again!
Falso not sure about your vae path
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МHi all. I am writing through google translator.
Are there ways to merge two lore files into one? Not 50/50, but 100/100 to make one big file.
Are there ways to merge two lore files into one? Not 50/50, but 100/100 to make one big file.
Fi explain there path thing very well
Fwith lora probably not possible. it is not able to add new tokens. therefore, whatever you do will be merged into same tokens
Fso if you make 1 of them 100%, the other one will be 0%
МAre there any alternative ways? Maybe not with the help of Laura, but with the help of other utilities.
OOne more question about the VAE path. I put the screenshot of the main branch which is at "SG161222/Realistic_Vision_V1.3" at hugging face. The main branch has a folder called "vae" with the vae files.
When I add the paramater --pretrained_vae_name_or_path="SG161222/Realistic_Vision_V1.3/vae" I get an error in the colab when the cell runs, about vae not found at path. Do I need to change the path to something else? Thanks again!!
When I add the paramater --pretrained_vae_name_or_path="SG161222/Realistic_Vision_V1.3/vae" I get an error in the colab when the cell runs, about vae not found at path. Do I need to change the path to something else? Thanks again!!
Fi think upload vae to google drive