4,7,11 is fine?

Ffelixsanz 4,7,11 is fine?

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Furkan Gözükara SECourses•5/25/23, 10:50 PM

i try usually 4,5,6,7,8,9,10,11,12

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Furkan Gözükara SECourses•5/25/23, 10:50 PM

if i do

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felixsanzOP•5/25/23, 10:51 PM

but at the same time? X=seed, Y=checkpoint, Z=cfg?

Ffelixsanz but at the same time? X=seed, Y=checkpoint, Z=cfg?

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Furkan Gözükara SECourses•5/25/23, 10:51 PM

yes you can use

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Furkan Gözükara SECourses•5/25/23, 10:51 PM

but which order looks best

F

Furkan Gözükara SECourses•5/25/23, 10:51 PM

you need to test

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felixsanzOP•5/25/23, 10:52 PM

i'm gonna use seed as Z i think, as it's separated in "another dimension"

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felixsanzOP•5/25/23, 10:55 PM

let's see if the freaking plot script is not still broken... Xd 8640 steps

LLacerda613 It will not start if I disable my Wi-Fi.

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PickledJoi•5/25/23, 10:55 PM

it should start without a problem if you already installed the dependencies (by launching with your internet on at least once). what exactly are you doing to disable your wifi

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flowwolf•5/25/23, 11:16 PM

@Furkan Gözükara SECourses those were great pointers, but i'll come back to this problem another time. thanks for the help!

Fflowwolf @Furkan Gözükara SECourses those were great pointers, but i'll come back to this...

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Furkan Gözükara SECourses•5/25/23, 11:39 PM

you are welcome

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RomanSlack•5/26/23, 12:38 AM

@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

R

RomanSlack•5/26/23, 12:39 AM

How could I solve this?

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RomanSlack•5/26/23, 12:43 AM

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

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RomanSlack•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,...

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

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

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RomanSlack•5/26/23, 1:21 AM

I did, same result

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RomanSlack•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.

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...

K

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\...

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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:...

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

well this may not work as good as on pc

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

that is why

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

you can use runpod alternatively

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RomanSlack•5/26/23, 1:39 AM

Ok, thank you

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

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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...

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

yes runpod works

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

i have necessary tutorials

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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

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

search runpod word

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

i am going to sleep hopefully see you tomorrow

FFurkan Gözükara SECourses yes runpod works

K

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

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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.

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thebean•5/26/23, 3:52 AM

how correct did chatGPT get this i wonder?

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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? ...

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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)

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生死•5/26/23, 4:09 AM

oh that too bad QQ

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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

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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

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生死•5/26/23, 4:11 AM

thx

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thebean•5/26/23, 4:11 AM

good luck

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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?

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undelirium•5/26/23, 5:41 AM

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

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undelirium•5/26/23, 5:42 AM

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

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undelirium•5/26/23, 5:42 AM

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

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undelirium•5/26/23, 5:42 AM

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