but classification images doesn't affect the subject right?
but classification images doesn't affect the subject right?
Fit just protects the "woman" class from dissapearing
Fso model doesn't forget about all other womans
Zwell every photo i've had has been a woman
Zjust the wrong kind of woman
Fprobably but not sure about exact implementation of the extension
Fbut that has nothing to do with class or negative prompts in sampling
Zi have like 2000 images i've already generated for photo of woman and photo of a beautiful woman
Finitial testing
F
Fi've already done img2img with videos
Flike extracting 8000 frames of pngs and applying img2img to them all XDD
Fbut not for styling, just to change face like a deepfake
Fi am working for a perfect video :d
Fand result is kinda decent
Fdo you have it anyhwere uploaded?
Fnot yet
Fplaning to create a spanish youtube channel and share my little knowledge
Fi'm also trying to train tortoise tts with my voice and create voiceovers in english with text Xd
Fthe strenght i got better results in img2img is 0.25 - 0.30
Zcan i do combinations of learning rates like based on how many steps?
Fthe clothing changes with controlnet. it makes 100% denoise
F
F
Fwow consistency is hard :d
FFok i think i finally made it
Fearly tests
Cdoooooope
Jvenv "C:\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: a9fed7c364061ae6efb37f797b6b522cb3cf7aa2
Traceback (most recent call last):
File "C:\stable-diffusion-webui\launch.py", line 380, in <module>
prepare_environment()
File "C:\stable-diffusion-webui\launch.py", line 287, in prepare_environment
run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
File "C:\stable-diffusion-webui\launch.py", line 137, in run_python
return run(f'"{python}" -c "{code}"', desc, errdesc)
File "C:\stable-diffusion-webui\launch.py", line 113, in run
raise RuntimeError(message)
RuntimeError: Error running command.
Command: "C:\stable-diffusion-webui\venv\Scripts\python.exe" -c "import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'"
Error code: 1
stdout: Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.
It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe
stderr: Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch__init__.py", line 139, in <module>
raise err
OSError: [WinError 126] The specified module could not be found. Error loading "C:\stable-diffusion-webui\venv\lib\site-packages\torch\lib\c10.dll" or one of its dependencies.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: a9fed7c364061ae6efb37f797b6b522cb3cf7aa2
Traceback (most recent call last):
File "C:\stable-diffusion-webui\launch.py", line 380, in <module>
prepare_environment()
File "C:\stable-diffusion-webui\launch.py", line 287, in prepare_environment
run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
File "C:\stable-diffusion-webui\launch.py", line 137, in run_python
return run(f'"{python}" -c "{code}"', desc, errdesc)
File "C:\stable-diffusion-webui\launch.py", line 113, in run
raise RuntimeError(message)
RuntimeError: Error running command.
Command: "C:\stable-diffusion-webui\venv\Scripts\python.exe" -c "import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'"
Error code: 1
stdout: Microsoft Visual C++ Redistributable is not installed, this may lead to the DLL load failure.
It can be downloaded at https://aka.ms/vs/16/release/vc_redist.x64.exe
stderr: Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch__init__.py", line 139, in <module>
raise err
OSError: [WinError 126] The specified module could not be found. Error loading "C:\stable-diffusion-webui\venv\lib\site-packages\torch\lib\c10.dll" or one of its dependencies.
Jhelp
Jok problem have settle
Cdoooooope
JRuntimeError: "LayerNormKernelImpl" not implemented for 'Half'
JInstalling requirements for Web UI
Launching Web UI with arguments: --no-half
C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init__.py:88: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
Warning: caught exception 'CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero.', memory monitor disabled
No module 'xformers'. Proceeding without it.
Loading weights [27a4ac756c] from C:\stable-diffusion-webui\models\Stable-diffusion\SD15NewVAEpruned.ckpt
Creating model from config: C:\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying cross attention optimization (InvokeAI).
Textual inversion embeddings loaded(0):
Launching Web UI with arguments: --no-half
C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init__.py:88: UserWarning: CUDA initialization: CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
Warning: caught exception 'CUDA unknown error - this may be due to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero.', memory monitor disabled
No module 'xformers'. Proceeding without it.
Loading weights [27a4ac756c] from C:\stable-diffusion-webui\models\Stable-diffusion\SD15NewVAEpruned.ckpt
Creating model from config: C:\stable-diffusion-webui\configs\v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying cross attention optimization (InvokeAI).
Textual inversion embeddings loaded(0):
Zusing lora, model looks good til about 35 epochs, at 50 epochs, looks burnt, should i lower the learning rate or use a different scheduler to further optimize?
Zusing constant
SHello guys, i know kinda sus question, but if i train a model on google colab, how do i make a ckpt file from it, to work with it on my own pc?
Susing stable diffusion on pc tho
SI am driving myself nuts. I have what i think are good images to train with good captions and my embeddings all look like trash. What is the best way to be able to put myself into other models?
Dreambooth model which you then merge with another model?
Train an embedding?
Train a Lora (whatever that is!)
Other
Dreambooth model which you then merge with another model? Train an embedding? Train a Lora (whatever that is!) OtherSI just trained a dreambooth model, it looks very good
Sshame i can't get a ckpt file out from it and save it instead of the json stuff XD
Fhello welcome. what is your gpu
Fi think try lower first
Fthere is generate ckpt option. you can watch my updated tutorial here : and yes it would work on your pc : https://youtu.be/kIyqAdd_i10
YouTubeSECourses - Software Engineering Courses
Our Discord : https://discord.gg/HbqgGaZVmr. This is the video where you will learn how to use Google Colab for Stable Diffusion. 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 Stable Diffusion Tutorials, #Automatic1111...
https://www.patreon.com/SECoursesPlaylist of Stable Diffusion Tutorials, #Automatic1111...
F1 and 2 are great options
SWhen auto captioning images for training, what do you guys find works best deepbooru or BLIP. I can see they have very different approaches one is a full description in a sentence, the other is essentially comma separated tags
SI am joining the patreon now!
Fawesome ty
Ffor teaching a person or style i didnt find them better. but if you want to fine tune i think you can use blip
Sis there a way to get the same already edited doc?