that is very nice- it simply works while my local grafikcards is doing some dreambooth training.
that is very nice- it simply works while my local grafikcards is doing some dreambooth training.
Fwhen you have so many good images for each token. like improve castles horses cats etc
Fprobably free for a certain time
Fhow many limit it has you checked?
Nyou mean dreamstudio.ai?
Ni already had an account for 6 month or longer and the info is
"103,3 credits
Approximately 516 images with default settings"
"103,3 credits
Approximately 516 images with default settings"
Nwith respect to the 50.000 images i have created in the last month that will not help me for long 
Nis it correct that I have to double the training steps per image, when i halften the learning rate?
Nwhen dreambooth training?
Fi cant say there is such deterministic correlation
Nok, good to know.thank you! i will retire now- it is 4am
Fye i am gonna sleep now
F6 am
Fhopefully see u tomorrow
TI wanted to know if your lora training tutorial here covers making sure this lora training doesn't break other models that have trained tokens in them? https://www.youtube.com/watch?v=mfaqqL5yOO4 I notice with textual inversion, merging checkpoints or loras to another model results in low quality. I tried changing lora dim/alpha as well and the quality was not good when using my other trained tokens from other models at the same time of using the lora I properly trained or extracted and I made sure to lower the lora value and cfg value. I did lora training with kohya. So I was wondering if webui dreambooth extension with lora actually has a different result that keeps the quality of other models intact with tokens we have trained into them. When I did dreambooth with shivam's repo, not dreambooth extension, but his actual repo, my training is fine individually but as soon as I train both training sets together in one model, the quality with using them at the same time is not good. @Furkan Gözükara SECourses
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Playlist of Stable Diffusion Tutorials, #Automatic1111 and Google Colab Guides, DreamBooth, Textual In...
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Kis it still necessary to crop images by 512x512 for dreambooth? how much results will differ without cropping and using enable buckets
Bdoes anyone how you would merge two checkpoints trained on different subject keywords to combine them? they're two different people i want to combine.
SEverything I have heard and read says you have to make them 512 x 512 and close up of the face
Kit is for style, not a person
SI don't think you can merge the two people into one person but you can merge the two checkpoints on the merge tab which would make both people available in one checkpoint. Hopefully I did not misunderstand you!
SGotcha. Sorry for the mistake. I have no experience with styles yet. but there are a bunch of cool people so I am sure someone can help
Byeah, i know i can merge them there. I guess i should have trained them using the same instance token/keyword.
Boh wait i needed to rtfm
Slmk how it turns out because that seems like it would be good for definitely not anything shady
FHi! I have lots of very good img2img images I did looking for good prompts for an animation in Deforum so, I now that you can set an Init image and that´s great! My question is the following: Is there a way to set or keyframe different images as inits every X frames? To tell the proces to "activate" a reference y an specific time?
Bok it turns out it's nightmarish unless you make sure all of them look okay on the same samplers, one of my models couldn't merge DDIM or PLMS. It doesn't look better than a chkpt + LORA.
Sroger that. i mean, you are light years ahead of me, but I understand. I am still trying to make one embed work but Doc says I need better pics.
VHello, I have some trouble with installing Stable diffusion Web UI
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Vand when I downloaded the .exe file and launched it, it didn't create a git file. And for more, I can't start the file
Fwell i havent tested yet with lora. i am planning hopefully soon. but i think newest version of dreambooth extension is much better than before .
Fno you can have different dimensions but make sure that you have increased max resolution
Fi think you can use this method : https://youtu.be/s25hcW4zq4M . if they are same token they will bleed. you have to train different tokens
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Fno idea for that atm. i am testing img2img alternative test
Fwelcome. when you type python to your cmd what do you see
JLaunching Web UI with arguments: --no-half --xformers
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
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.
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
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
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.
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
JFile "C:\stable-diffusion-webui\webui.py", line 136, in initialize
modules.sd_models.load_model()
File "C:\stable-diffusion-webui\modules\sd_models.py", line 445, in load_model
sd_hijack.model_hijack.hijack(sd_model)
File "C:\stable-diffusion-webui\modules\sd_hijack.py", line 172, in hijack
self.optimization_method = apply_optimizations()
File "C:\stable-diffusion-webui\modules\sd_hijack.py", line 42, in apply_optimizations
if cmd_opts.force_enable_xformers or (cmd_opts.xformers and shared.xformers_available and torch.version.cuda and (6, 0) <= torch.cuda.get_device_capability(shared.device) <= (9, 0)):
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init.py", line 357, in get_device_capability
prop = get_device_properties(device)
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init.py", line 371, in get_device_properties
_lazy_init() # will define _get_device_properties
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init__.py", line 229, in _lazy_init
torch._C._cuda_init()
RuntimeError: 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.
Stable diffusion model failed to load, exiting
Press any key to continue . . .
modules.sd_models.load_model()
File "C:\stable-diffusion-webui\modules\sd_models.py", line 445, in load_model
sd_hijack.model_hijack.hijack(sd_model)
File "C:\stable-diffusion-webui\modules\sd_hijack.py", line 172, in hijack
self.optimization_method = apply_optimizations()
File "C:\stable-diffusion-webui\modules\sd_hijack.py", line 42, in apply_optimizations
if cmd_opts.force_enable_xformers or (cmd_opts.xformers and shared.xformers_available and torch.version.cuda and (6, 0) <= torch.cuda.get_device_capability(shared.device) <= (9, 0)):
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init.py", line 357, in get_device_capability
prop = get_device_properties(device)
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init.py", line 371, in get_device_properties
_lazy_init() # will define _get_device_properties
File "C:\stable-diffusion-webui\venv\lib\site-packages\torch\cuda__init__.py", line 229, in _lazy_init
torch._C._cuda_init()
RuntimeError: 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.
Stable diffusion model failed to load, exiting
Press any key to continue . . .
J-.-
J
ZHey doc, my trained model i made yesterday, if i literally do any prompt other than photo of ohwx woman <loratag>, it doesn't look like her anymore. What can I do to fix that?
Zthis is her as lara croft from tomb raider as the only prompt
Z
J
Fwhat is your graphic card
Fyou tried different cfg and prompt strength
Jgraphic card problem
Fwhat model do you have
J1050 ti
Ngood morning ladies and gentlemen
Fmorning
Fyou shouldnt get that error
