my TI actually training now lol i ran like 3 trainings at 1200 steps and just got noise
my TI actually training now lol i ran like 3 trainings at 1200 steps and just got noise
Iwaste of compute
Fwhat you think about this thumb?
Fye it was xformers version error
Fi just did a mini finetuning today 
Fwith file captions
ZClassy
HWhenever I need change a model ， it takes almost 2 minutes
H@Furkan Gözükara SECourses
Issd or hdd?
Mhugging face may need to queue.
KHi thank you very much. I found out that part of my classification images are not 512x512 so I fix it and it works now. It's weird that last time I use the same classification images but everything was fine.
KI think it looks great, very professional and realistic. But the thumbnails of your videos are different from each other. I believe that if we could find a way to make them easily recognizable as being from your SECourses Youtube channel, it would be even better.
Aall of a sudden I can't train anything.. I get : Loss is NaN, your model is dead. Cancelling training. I have no idea what's the cause, I cant remember changeiing anything.. any thoughts?
Cdeforum is madness
Ci don't know how anyone gets something even remotely intentional out of it
Fthat means your hdd super slow
Fi am just not very good at thumbnails :/
Fwhat do you use for training? which method?
Fye i dont like that personally
RLooks awesome
RWait thought it was a gen but it's just a photo of you in suits?
Fthey are ai generated
Fi dont even have such suit :d
Zdid you say you were going to make a video on that ai tool you were talking about yesterday with the image recognition?
RIt looks great 
RWas it Lora or dreambooth?
Flora
Ftutorial almost ready. i need your help to uptove on reddit :d
Rsuper
RI ll up it on reddit
Rfound this really interesting article on Lora parameters https://rentry.org/59xed3. Let me know if you have any other good sources. Cant wait to see you tut
Fthank you
Iid like to learn lora after I master TI
Ithe progressive training weights for TI from the video arent working well for me
Fyou don't need TI
Fwit RTX 3090
Fbest one is dreambooth
Ii have dreambooth now
SHello everyone, greetings from Brazil, first of all thank you so much for your incredible work @Furkan Gözükara SECourses and for sharing it.
I'm looking for help, I'm following most recent dreambooth tutorial (and some of the older ones)
I'm trying to run dreambooth on runpod but If i use --share launching webui dreambooth if I don't use it it shows with no problem, am I missing something?
It's disoriating how fast the versions of everything change
I'm looking for help, I'm following most recent dreambooth tutorial (and some of the older ones)
I'm trying to run dreambooth on runpod but If i use --share launching webui dreambooth if I don't use it it shows with no problem, am I missing something?
It's disoriating how fast the versions of everything change
SON a different setup I was trying to run on pytorch 2 and tensor flow linux on aws , i got everything running trough a nginx reverse proxy in a g5.xlarge instance, I got everything running dreambooth always crash mid training, with 24ram avaiable but using less than 10gb of vRAM, anyone who might point me to the right direction?
Ishoot what does this error mean when trying to start TI?
IError completing request
Arguments: ('task(bhgh83d1mzyxyvk)', 'nodnarb', '0.005', 4, 2, 'C:\Users\Brandon\Downloads\elite training', 'textual_inversion', 512, 512, False, 3000, 'disabled', '0.1', True, 0, 'deterministic', False, 25, 50, 'style_filewords.txt', True, False, '', '', 20, 0, 7, -1.0, 512, 512) {}
Traceback (most recent call last):
File "C:\Users\Brandon\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(args, **kwargs))
File "C:\Users\Brandon\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(args, *kwargs)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\ui.py", line 33, in train_embedding
embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(args)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 417, in train_embedding
ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, cond_model=shared.sd_model.cond_stage_model, device=devices.device, template_file=template_file, batch_size=batch_size, gradient_step=gradient_step, shuffle_tags=shuffle_tags, tag_drop_out=tag_drop_out, latent_sampling_method=latent_sampling_method, varsize=varsize, use_weight=use_weight)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\dataset.py", line 80, in init
filename_text = file.read()
File "C:\Users\Brandon\AppData\Local\Programs\Python\Python310\lib\codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Arguments: ('task(bhgh83d1mzyxyvk)', 'nodnarb', '0.005', 4, 2, 'C:\Users\Brandon\Downloads\elite training', 'textual_inversion', 512, 512, False, 3000, 'disabled', '0.1', True, 0, 'deterministic', False, 25, 50, 'style_filewords.txt', True, False, '', '', 20, 0, 7, -1.0, 512, 512) {}
Traceback (most recent call last):
File "C:\Users\Brandon\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(args, **kwargs))
File "C:\Users\Brandon\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(args, *kwargs)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\ui.py", line 33, in train_embedding
embedding, filename = modules.textual_inversion.textual_inversion.train_embedding(args)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 417, in train_embedding
ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, cond_model=shared.sd_model.cond_stage_model, device=devices.device, template_file=template_file, batch_size=batch_size, gradient_step=gradient_step, shuffle_tags=shuffle_tags, tag_drop_out=tag_drop_out, latent_sampling_method=latent_sampling_method, varsize=varsize, use_weight=use_weight)
File "C:\Users\Brandon\stable-diffusion-webui\modules\textual_inversion\dataset.py", line 80, in init
filename_text = file.read()
File "C:\Users\Brandon\AppData\Local\Programs\Python\Python310\lib\codecs.py", line 322, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Iit was working last night
Fhello welcome
Fon unix you need to use torch 1.13 or do some dll linking
Ffor running on runpod you dont have to use share
FYouTubeSECourses
RunPod: https://bit.ly/RunPodIO. Discord : https://bit.ly/SECoursesDiscord. How to install latest version of Automatic1111 Web UI and #DreamBooth on #RunPod. 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
Playlist of #StableDiffusi...
https://www.patreon.com/SECoursesPlaylist of #StableDiffusi...
Fthis one still working
Flooks like txt file reading error
