Software Engineering Courses (SECourses)•3y ago

@Furkan Gözükara SECourses I am attempting to train a Lora following your video, however I am gettin

@Furkan Gözükara SECourses I am attempting to train a Lora following your video, however I am getting this error when clicking (Train).

Traceback (most recent call last):
  File "/workspace/kohya_ss/train_network.py", line 783, in <module>
    train(args)
  File "/workspace/kohya_ss/train_network.py", line 146, in train
    text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)
  File "/workspace/kohya_ss/library/train_util.py", line 3023, in load_target_model
    text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(
  File "/workspace/kohya_ss/library/train_util.py", line 2989, in _load_target_model

Traceback (most recent call last):
  File "/workspace/kohya_ss/train_network.py", line 783, in <module>
    train(args)
  File "/workspace/kohya_ss/train_network.py", line 146, in train
    text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)
  File "/workspace/kohya_ss/library/train_util.py", line 3023, in load_target_model
    text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(
  File "/workspace/kohya_ss/library/train_util.py", line 2989, in _load_target_model

Traceback (most recent call last):
  File "/workspace/kohya_ss/train_network.py", line 783, in <module>
    train(args)
  File "/workspace/kohya_ss/train_network.py", line 146, in train
    text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)
  File "/workspace/kohya_ss/library/train_util.py", line 3023, in load_target_model
    text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(
  File "/workspace/kohya_ss/library/train_util.py", line 2989, in _load_target_model

Traceback (most recent call last):
  File "/workspace/kohya_ss/train_network.py", line 783, in <module>
    train(args)
  File "/workspace/kohya_ss/train_network.py", line 146, in train
    text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)
  File "/workspace/kohya_ss/library/train_util.py", line 3023, in load_target_model
    text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(
  File "/workspace/kohya_ss/library/train_util.py", line 2989, in _load_target_model

RomanSlackOP•5/26/23, 12:39 AM

How could I solve this?

RomanSlackOP•5/26/23, 12:43 AM

I looked in my files and I am missing the train_network.py, file

RomanSlackOP•5/26/23, 1:07 AM

I read all of these solutions and tried, them but none worked, https://www.reddit.com/r/StableDiffusion/comments/114e0nj/kohya_ss_error_how_do_i_solve_this/

r/StableDiffusion - kohya_ss error. How do I solve this?

3 votes and 33 comments so far on Reddit

RRomanSlack @Furkan Gözükara SECourses I am attempting to train a Lora following your video,...

Furkan Gözükara SECourses•5/26/23, 1:15 AM

i dont see error messsage here. but try adamw instead of adam8bit

RomanSlackOP•5/26/23, 1:21 AM

I did, same result

RomanSlackOP•5/26/23, 1:23 AM

subprocess.CalledProcessError: Command '['C:\\Stable-Diffusion\\kohya_ss\\venv\\Scripts\\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5', '--train_data_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/image/', '--resolution=512,512', '--output_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/model', '--logging_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/log', '--network_alpha=1', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=8', '--network_weights=C:/Users/archi/Downloads/LoraLowVRAMSettings.json', '--output_name=last', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=150', '--train_batch_size=1', '--max_train_steps=1496', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--cache_latents', '--bucket_reso_steps=64', '--mem_eff_attn', '--gradient_checkpointing', '--xformers', '--use_8bit_adam', '--bucket_no_upscale']' returned non-zero exit status 1.

subprocess.CalledProcessError: Command '['C:\\Stable-Diffusion\\kohya_ss\\venv\\Scripts\\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5', '--train_data_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/image/', '--resolution=512,512', '--output_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/model', '--logging_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/log', '--network_alpha=1', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=8', '--network_weights=C:/Users/archi/Downloads/LoraLowVRAMSettings.json', '--output_name=last', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=150', '--train_batch_size=1', '--max_train_steps=1496', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--cache_latents', '--bucket_reso_steps=64', '--mem_eff_attn', '--gradient_checkpointing', '--xformers', '--use_8bit_adam', '--bucket_no_upscale']' returned non-zero exit status 1.

FFurkan Gözükara SECourses it still works. are you using dev version of the atuomatic1111? try with dev bra...

kevh•5/26/23, 1:35 AM

how would i use the dev version on the colab? I'm using TheLastBen's colab here: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb

Google Colaboratory

RRomanSlack `subprocess.CalledProcessError: Command '['C:\\Stable-Diffusion\\kohya_ss\\venv\...

Furkan Gözükara SECourses•5/26/23, 1:39 AM

try this

Kkevh how would i use the dev version on the colab? I'm using TheLastBen's colab here:...

Furkan Gözükara SECourses•5/26/23, 1:39 AM

well this may not work as good as on pc

Furkan Gözükara SECourses•5/26/23, 1:39 AM

that is why

Furkan Gözükara SECourses•5/26/23, 1:39 AM

you can use runpod alternatively

RomanSlackOP•5/26/23, 1:39 AM

Ok, thank you

FFurkan Gözükara SECourses well this may not work as good as on pc

kevh•5/26/23, 1:40 AM

my pc doesn't have enough vram, so i paid for google colab compute GPUs. i guess if i pay for runpod then it'll work?

Kkevh my pc doesn't have enough vram, so i paid for google colab compute GPUs. i guess...

Furkan Gözükara SECourses•5/26/23, 1:41 AM

yes runpod works

Furkan Gözükara SECourses•5/26/23, 1:41 AM

i have necessary tutorials

Furkan Gözükara SECourses•5/26/23, 1:42 AM

you can see tutorials list here : https://github.com/FurkanGozukara/Stable-Diffusion

GitHub

GitHub - FurkanGozukara/Stable-Diffusion: Best Stable Diffusion and...

Best Stable Diffusion and AI Tutorials, Guides, News, Tips and Tricks - GitHub - FurkanGozukara/Stable-Diffusion: Best Stable Diffusion and AI Tutorials, Guides, News, Tips and Tricks

Furkan Gözükara SECourses•5/26/23, 1:42 AM

search runpod word

Furkan Gözükara SECourses•5/26/23, 1:42 AM

i am going to sleep hopefully see you tomorrow

FFurkan Gözükara SECourses yes runpod works

kevh•5/26/23, 1:43 AM

thank you! is there a way to use google colab to do it? just because i already have some compute on google colab and don't want to waste them

thebean•5/26/23, 3:52 AM

me: i don't really understand truncation error with regards to image diffusion samplers. can you lay it out in eli5 terms for me?

ChatGPT said:
Sure! Let's say you're baking cookies and the recipe calls for 1/3 cup of sugar. But your measuring cups only have 1/4 cup and 1/2 cup.

If you use the 1/4 cup, you won't be adding enough sugar. If you use the 1/2 cup, it will be too much. So, you decide to fill the 1/4 cup and add a little bit more, hoping it's about 1/3 cup.

The difference between the amount of sugar you actually added and the exact 1/3 cup the recipe called for is like the truncation error. It's a small error that comes from having to stop (or "truncate") your measuring because you don't have the exact tool (in this case, the right measuring cup) to get the precise amount.

In the case of the image diffusion, the "sampling steps" are like the measuring cups. If you could do an infinite number of steps, you could get the exact, perfect result. But in reality, you have to stop at some point (just like you can't keep adding sugar forever), and this results in a small error. Increasing the number of steps is like adding a bit more sugar to the 1/4 cup to try and get closer to the exact 1/3 cup you need.

thebean•5/26/23, 3:52 AM

how correct did chatGPT get this i wonder?

生

生死•5/26/23, 4:03 AM

hey guys i try this vedio but the cmd show this is means i dont process in GPU? my gpu is RX6600

生

生死•5/26/23, 4:03 AM

https://www.youtube.com/watch?v=ku6UvK1bsp4

YouTubeSECourses

Dolly 2.0 : Free ChatGPT-like Model for Commercial Use - How To Ins...

Databricks’ #Dolly v2 is a free, open source, commercially useable ChatGPT-style #AI model. Dolly 2.0 could spark a new wave of fully open source LLMs similar to #ChatGPT . Open source community working hardest to bring up a model that can compete with GPT4. Our discord: https://bit.ly/SECoursesDiscord

If I have been of assistance to you and yo...

生

生死•5/26/23, 4:07 AM

生生死 hey guys i try this vedio but the cmd show this is means i dont process in GPU? ...

thebean•5/26/23, 4:08 AM

i'm a nooby, but from what others have told me, AMD doesn't work well with machine learning stuff like stable diffusion (yet)

生

生死•5/26/23, 4:09 AM

oh that too bad QQ

thebean•5/26/23, 4:09 AM

i'm not familiar with the specific error message your seeing, so maybe someone can give better help. i'm not saying AMD can't run stable diffusion

thebean•5/26/23, 4:10 AM

just that it isn't as stable as an nvidia card or as easy

生

生死•5/26/23, 4:11 AM

alright i will try this again with my own computer

生

生死•5/26/23, 4:11 AM

thx

thebean•5/26/23, 4:11 AM

good luck

AlmoIppy•5/26/23, 5:06 AM

Was wondering if there is any way to instruct SD (A1111) within prompt to only apply lora to specific subjects? Say I have a lora that generates specific person, if I put few subjects it will usually apply lora to them to all, is there a way to limit lora's influence to only one specific subject without having to use regional prompt or other similar extensions?

undelirium•5/26/23, 5:41 AM

yes there is, you need to learn to use latent couple and masking

undelirium•5/26/23, 5:42 AM

also if people werent aware https://discord.com/invite/stablediffusion

undelirium•5/26/23, 5:42 AM

theyre letting you test and vote on SDXL (reportedly 50% done)

undelirium•5/26/23, 5:42 AM

ive 3 prompts currently in the current round of voting which is neat

AAlmoIppy Was wondering if there is any way to instruct SD (A1111) within prompt to only a...

undelirium•5/26/23, 5:44 AM

I see now you are asking without using those extensions. your best bet becomes inpainting i guess.

undelirium•5/26/23, 5:54 AM

i really recommend latent couple tho since it lets you create masks and define each one in a single prompt, ill give example:

05429-1536x768-__favorites_V08_V08-DPM202M20Karras-35-7-highly20detailed20horror20film.png

undelirium•5/26/23, 5:55 AM

using control net plus latent couple i could define all 6 characters. i can bring them out a lot more with more control nets and defined details

undelirium•5/26/23, 5:55 AM

thetres a lot of room for flexibility with the modified softedge_hedsafe control net im using

undelirium•5/26/23, 5:58 AM

the bottom right image is the latent couple mask, the colors are arranged in order that they'll fill out in the form underneath, white being the general prompt for scene with left to right in color being each character. you can do it with loras. there was a bug for a bit using loras in prompts, but i think tehy fixed it? so if you were to make an openpose control net and latent couple each pose similar to how my masking was done, your prompt would read:
generral scene of scene-like things and such BREAK
AND <lora A:0.6> BREAK
AND <lora B:0.6> BREAK
AND <lora C:0.6> BREAK
AND <lora D:0.6>

undelirium•5/26/23, 5:59 AM

you have to use those steps tho if you want to do what you're talkingabout in one generation

undelirium•5/26/23, 6:00 AM

I am not using loras for my image, but this is the only way i know how. i know you wanted a different answer but hope this might help

undelirium•5/26/23, 6:35 AM

better render and more info

Kkevh thank you! is there a way to use google colab to do it? just because i already h...

Furkan Gözükara SECourses•5/26/23, 9:04 AM

for google colab it is not working as good as on your pc

Tthebean me: i don't really understand truncation error with regards to image diffusion s...

Furkan Gözükara SECourses•5/26/23, 9:04 AM

ChatGPT has no idead about stable diffusion yet. but i am planning an in depth tutorial for this

生生死 hey guys i try this vedio but the cmd show this is means i dont process in GPU? ...

Furkan Gözükara SECourses•5/26/23, 9:06 AM

hi. probably they dont support amd right away. there could be way to make it work but i havent tested

Uundelirium i really recommend latent couple tho since it lets you create masks and define e...

Furkan Gözükara SECourses•5/26/23, 9:08 AM

you are using latent couple extension? this is something i plan to cover

undelirium•5/26/23, 9:21 AM

Yes. I love the feature of defining a mask as it allows. I've not tried regional prompter or whatever it's called, I looked at it and it seemed to be a step backwards in function

undelirium•5/26/23, 9:23 AM

Total power over generations between latent couple and control net, tho to fully utilize latent couple, requires some skill with Photoshop or similar for precision. The control net segment preprocessor might have some potential too. I've not tried it just considered it.

subprocess.CalledProcessError: Command '['C:\\Stable-Diffusion\\kohya_ss\\venv\\Scripts\\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=runwayml/stable-diffusion-v1-5', '--train_data_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/image/', '--resolution=512,512', '--output_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/model', '--logging_dir=C:/Stable-Diffusion/Emma/Process lora/Emma lora/log', '--network_alpha=1', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=8', '--network_weights=C:/Users/archi/Downloads/LoraLowVRAMSettings.json', '--output_name=last', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=150', '--train_batch_size=1', '--max_train_steps=1496', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--cache_latents', '--bucket_reso_steps=64', '--mem_eff_attn', '--gradient_checkpointing', '--xformers', '--use_8bit_adam', '--bucket_no_upscale']' returned non-zero exit status 1.

@Furkan Gözükara SECourses I am attempting to train a Lora following your video, however I am gettin

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