Ok it was the learning rate. 0.005 seems to have done the trick
Ok 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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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
Fok then you should revert back
Fmaybe not compatible yet
Fdelete venv folder, let it reinstall, then
Fthen activate venv and run this command pip install -r "path_of_SD_Extension\requirements.txt"
Aok will try this
Fye it is easy i am here can help you
SExperiencing another problem when i try to import torch following your first selfie video https://www.youtube.com/watch?v=mnCY8uM7E50&list=PL_pbwdIyffsmclLl0O144nQRnezKlNdx3
HTTPError Traceback (most recent call last)
/usr/local/lib/python3.9/dist-packages/huggingface_hub/utils/_errors.py in hf_raise_for_status(response, endpoint_name)
258 try:
--> 259 response.raise_for_status()
260 except HTTPError as e:
9 frames
HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/joyceface/resolve/main/model_index.json
The above exception was the direct cause of the following exception:
RepositoryNotFoundError Traceback (most recent call last)
RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6415e775-5d6f99063ff577a93c9ab9b4)
not sure whats wrong with it
HTTPError Traceback (most recent call last)
/usr/local/lib/python3.9/dist-packages/huggingface_hub/utils/_errors.py in hf_raise_for_status(response, endpoint_name)
258 try:
--> 259 response.raise_for_status()
260 except HTTPError as e:
9 frames
HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/joyceface/resolve/main/model_index.json
The above exception was the direct cause of the following exception:
RepositoryNotFoundError Traceback (most recent call last)
RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-6415e775-5d6f99063ff577a93c9ab9b4)
not sure whats wrong with it
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Falso add this to the requirements file of dreambooth @AlaBeat xformers==0.0.17.dev464
Fthis is internet error
Frestart session
Flooks like google server was not able to connect
Foh
Fthis is also link error
Fwait let me check
Fat which part you get this error
Fi am checking
SInference
Simport torch part
Fkk
Fyou did run this part right before inference
F
Syeah i did