2: doggy photos meaning that your prompt is not correct. show settings i can tell you 🙂
2: doggy photos meaning that your prompt is not correct. show settings i can tell you 
CSorry. You recommending this to my issue
SThank you for your quick reply!
This is the setting I have, followed almost exactly from your video:
!accelerate launch train_dreambooth.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--pretrained_vae_name_or_path="stabilityai/sd-vae-ft-mse" \
--output_dir=$OUTPUT_DIR \
--revision="fp16" \
--with_prior_preservation --prior_loss_weight=1.0 \
--seed=1337 \
--resolution=512 \
--train_batch_size=1 \
--train_text_encoder \
--mixed_precision="fp16" \
--use_8bit_adam \
--gradient_accumulation_steps=1 \
--learning_rate=1e-6 \
--lr_scheduler="constant" \
--lr_warmup_steps=256 \
--num_class_images=384 \
--sample_batch_size=4 \
--max_train_steps=2560 \
--save_interval=10000 \
--save_sample_prompt="photo of zwx dog" \
--concepts_list="concepts_list.json"
This is the setting I have, followed almost exactly from your video:
!accelerate launch train_dreambooth.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--pretrained_vae_name_or_path="stabilityai/sd-vae-ft-mse" \
--output_dir=$OUTPUT_DIR \
--revision="fp16" \
--with_prior_preservation --prior_loss_weight=1.0 \
--seed=1337 \
--resolution=512 \
--train_batch_size=1 \
--train_text_encoder \
--mixed_precision="fp16" \
--use_8bit_adam \
--gradient_accumulation_steps=1 \
--learning_rate=1e-6 \
--lr_scheduler="constant" \
--lr_warmup_steps=256 \
--num_class_images=384 \
--sample_batch_size=4 \
--max_train_steps=2560 \
--save_interval=10000 \
--save_sample_prompt="photo of zwx dog" \
--concepts_list="concepts_list.json"
Sthere are some errors that doesnt seems to appears on your video too:
The following values were not passed to
To avoid this warning pass in values for each of the problematic parameters or run
2023-03-18 13:50:17.755195: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-03-18 13:50:20.351469: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-18 13:50:20.351702: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-18 13:50:20.351727: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
/usr/local/lib/python3.9/dist-packages/accelerate/accelerator.py:243: FutureWarning:
Accelerate. Use
warnings.warn(
The following values were not passed to
accelerate launchTo avoid this warning pass in values for each of the problematic parameters or run
accelerate config2023-03-18 13:50:17.755195: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-03-18 13:50:20.351469: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-18 13:50:20.351702: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia
2023-03-18 13:50:20.351727: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
/usr/local/lib/python3.9/dist-packages/accelerate/accelerator.py:243: FutureWarning:
logging_dirproject_dirwarnings.warn(
S/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:105: UserWarning: /usr/lib64-nvidia did not contain libcudart.so as expected! Searching further paths...
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/sys/fs/cgroup/memory.events /var/colab/cgroup/jupyter-children/memory.events')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/gpu-t4-s-2rmy4vqcs4arz --tunnel_background_save_delay=10s --tunnel_periodic_background_save_frequency=30m0s --enable_output_coalescing=true --output_coalescing_required=true'), PosixPath('--listen_host=172.28.0.12 --target_host=172.28.0.12 --tunnel_background_save_url=https')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/env/python')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//ipykernel.pylab.backend_inline'), PosixPath('module')}
warn(
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/sys/fs/cgroup/memory.events /var/colab/cgroup/jupyter-children/memory.events')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//colab.research.google.com/tun/m/cc48301118ce562b961b3c22d803539adc1e0c19/gpu-t4-s-2rmy4vqcs4arz --tunnel_background_save_delay=10s --tunnel_periodic_background_save_frequency=30m0s --enable_output_coalescing=true --output_coalescing_required=true'), PosixPath('--listen_host=172.28.0.12 --target_host=172.28.0.12 --tunnel_background_save_url=https')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('/env/python')}
warn(
/usr/local/lib/python3.9/dist-packages/bitsandbytes/cuda_setup/paths.py:27: UserWarning: WARNING: The following directories listed in your path were found to be non-existent: {PosixPath('//ipykernel.pylab.backend_inline'), PosixPath('module')}
warn(
CUDA_SETUP: WARNING! libcudart.so not found in any environmental path. Searching /usr/local/cuda/lib64...
Fif your graphic card is now 2000+ yes
F,your save sample is
F--save_sample_prompt="photo of zwx dog" \
Fyou see
CIm using RTX 3060 12GB with Auto1111
FYouTubeSECourses - Software Engineering Courses
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Fuse torch 2 better
CSo that is what i am using but should my TI be learning at the slow rate?
Sok thanks, will give it a try again!
Ahi when i try to update to torch 2 i get this ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\Users\me\stable-diffusion-webui\venv\Lib\site-packages\~orch\lib\asmjit.dll'
Check the permissions.
Check the permissions.
Fso your TI slower with torch 2? interesting maybe it is because automatic1111 still didnt move torch 2 yet
Frun cmd as administrator
Falso i would install web ui directly into C drive not inside users folder
Aproblem is i already running out of space and will delete sd folder at some point and move it to another directory, but until my new ssd arrives i will still keep it there
CYep. after watching your new video I updated to the new torch 2.0. I am using the learning rate of 0.005:200, 0.002:500, 0.001:3000, 0.0005.
Fi didnt try such learning rate. the constant one was good for me
CI will try with the default 0.005 learning rate and see if that makes a difference
COk it was the learning rate. 0.005 seems to have done the trick
Fit is also official rate used by the paper authors
Sis it normal to run the training for 48hrs?
i followed through the guide in the 2nd video you provided, and using the same setting as your teach on video one
after almost an hr
Generating class images: 2% 218/12596 [49:33<46:40:49, 13.58s/it]
i followed through the guide in the 2nd video you provided, and using the same setting as your teach on video one
after almost an hr
Generating class images: 2% 218/12596 [49:33<46:40:49, 13.58s/it]
Fgenerate class images through txt2img tab
Fit will be much much faster like 20x more maybe more
Swhat do you means by that? i am just trying to use the colab and generate the avatar.
last time when it shows doggy it takes around 1hrs to generate the file
and i use the new dreambooth by that new link and it 48 times the time
I am just not sure what i did wrong here
last time when it shows doggy it takes around 1hrs to generate the file
and i use the new dreambooth by that new link and it 48 times the time
I am just not sure what i did wrong here
Fah you are on colab
Fhow many training images you have?
S32, just trying through exactly what you did in video
Fhow many classification images you set?
F12596 is too many
Fselect classification image count like 24
Fso enter total 32*24
Sah ic. i know what i did wrong there. is there a way to stop the process and restart it?
Snvm i got it now! thanks heaps!
Si am also trying out the your other video on my own pc
https://www.youtube.com/watch?v=mfaqqL5yOO4
however, after the installed the dreambooth extension, and restart both ui and the stable diffusion, the dreambooth tab hasnt appear at all? is there a way to fix it?
https://www.youtube.com/watch?v=mfaqqL5yOO4
however, after the installed the dreambooth extension, and restart both ui and the stable diffusion, the dreambooth tab hasnt appear at all? is there a way to fix it?
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Playlist of Stable Diffusion Tutorials, #Automatic1111 and Google Colab Guides, DreamBooth, Textual In...
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Ffirst welcome
Fhere the newest dreambooth install video
FYouTubeSECourses - Software Engineering Courses
Discord : https://bit.ly/SECoursesDiscord. Torch 2 / Pytorch 2 is now supported along with new DreamBooth Automatic1111 Web UI extension. 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
In this video, I am explaining how you can man...
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Aafter installing torch 2 i get this in my cmd when i run sd, everything works but i get this C:\Users\me\stable-diffusion-webui\venv\lib\site-packages\torchvision\transforms\functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be removed in 0.17. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
warnings.warn(
warnings.warn(
Fif working just ignore it
Fworking on style video
F
Fstyle + myself
Aok now when i try to use loras i get this Error running process_batch: C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\additional_networks.py
Traceback (most recent call last):
File "C:\Users\me\stable-diffusion-webui\modules\scripts.py", line 427, in process_batch
script.process_batch(p, *script_args, **kwargs)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\additional_networks.py", line 209, in process_batch
network, info = lora_compvis.create_network_and_apply_compvis(du_state_dict, weight_tenc, weight_unet, text_encoder, unet)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 102, in create_network_and_apply_compvis
state_dict = network.apply_lora_modules(du_state_dict) # some weights are applied to text encoder
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 289, in apply_lora_modules
state_dict = LoRANetworkCompvis.convert_state_dict_name_to_compvis(self.v2, du_state_dict)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 193, in convert_state_dict_name_to_compvis
compvis_name = LoRANetworkCompvis.convert_diffusers_name_to_compvis(v2, tokens[0])
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 182, in convert_diffusers_name_to_compvis
assert cv_name is not None, f"conversion failed: {du_name}. the model may not be trained by
AssertionError: conversion failed: lora_unetdown
Traceback (most recent call last):
File "C:\Users\me\stable-diffusion-webui\modules\scripts.py", line 427, in process_batch
script.process_batch(p, *script_args, **kwargs)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\additional_networks.py", line 209, in process_batch
network, info = lora_compvis.create_network_and_apply_compvis(du_state_dict, weight_tenc, weight_unet, text_encoder, unet)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 102, in create_network_and_apply_compvis
state_dict = network.apply_lora_modules(du_state_dict) # some weights are applied to text encoder
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 289, in apply_lora_modules
state_dict = LoRANetworkCompvis.convert_state_dict_name_to_compvis(self.v2, du_state_dict)
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 193, in convert_state_dict_name_to_compvis
compvis_name = LoRANetworkCompvis.convert_diffusers_name_to_compvis(v2, tokens[0])
File "C:\Users\me\stable-diffusion-webui\extensions\sd-webui-additional-networks\scripts\lora_compvis.py", line 182, in convert_diffusers_name_to_compvis
assert cv_name is not None, f"conversion failed: {du_name}. the model may not be trained by
sd-scripts."AssertionError: conversion failed: lora_unetdown
Anone of my loras work
Ftraining or inference?
Awhen i try to generate pictures, before installing torch 2 everything worked