i appealed i hope they grant it
i appealed i hope they grant it
AYeah, it didn't seem to do any of those things they said, unless they consider deep faking somehow providing unauthorized access to content.
RMan, I just went to rewatch the part about audio sync issues and running into an issue. That sucks your tutorials are the best
Uhi boss, after the upgraded webui on runpod, i did re-downgrade torch to 1.13.1 and all other things as you told us on your video, and every thing goes well. but after i finished my lora training on dreambooth and tring to test it on webui, this hapened : "RuntimeError: Couldn't load custom C++ ops. This can happen if your PyTorch and torchvision versions are incompatible, or if you had errors while compiling torchvision from source. For further information on the compatible versions, check https://github.com/pytorch/vision#installation for the compatibility matrix. Please check your PyTorch version with torch.version and your torchvision version with torchvision.version and verify if they are compatible, and if not please reinstall torchvision so that it matches your PyTorch install." i tried to upgrade torch to the newest vision but the system tell me the vision already exist. what should i do
GitHub
Datasets, Transforms and Models specific to Computer Vision - GitHub - pytorch/vision: Datasets, Transforms and Models specific to Computer Vision
AWeights & Biases (https://wandb.ai/) is pretty cool for tracking your training experiments with things like Kohya_ss and EveryDream2trainer. I don't think Dreambooth supports it yet.
WandB is a central dashboard to keep track of your hyperparameters, system metrics, and predictions so you can compare models live, and share your findings.
U
AAnswered you on RunPod Discord.
RSide note you can write click the imported frames, click on clip attributes and edit to original video fps.... Might help someone at some point. Or is that what the answer was in the tutorial lol
Uthanks mate
Fwhat is for?
AGPU graphs
Foh, meh on runpod
ALearning rate and loss
Fbut that doesn't work with constant learning rate right?
ATraining sample images
ANo, the graph will be flat with constant LR.
FGitHub
Best Stable Diffusion and AI Tutorials, Guides, News, Tips and Tricks - Stable-Diffusion/Tutorials at main · FurkanGozukara/Stable-Diffusion
AWeights & Biases doesn't work with Dreambooth anyway. I logged a feature request for them to add it.
Fyes you can resume. use checkpoint pth in advanced options. you will see there
AThnak you
Ftortoise tts not related to stable diffusion
Fthank you so much. waiting youtube. i hope they restore :/
Fhello. i will make a new tutorial hopefully. with newest dreambooth extension torch 2 is necessary. meanwhile you can do this. update auto1111 to latest, updated dreambooth to latest, delete venv in workspace folder. restart auto1111
RPeople suck, they do this to channels so they get views. Yours was one of the 1st and honestly the best of all the tutorials.
Fi think that may be the issue. competitors reported
RI am having so much fun with roop. I'll have to subscribe to your patreon next pay. Your videos have been the best for SD etc.
ZYeah definitely would love a new video showing best settings for the new dreambooth optimizers @Dr. Furkan Gözükara
ZLora too if you can
Flook at this realism
Fnot even tested best checkpoint
F
RHello @Dr. Furkan Gözükara , which Ai model of SD V2 I need to use for training 768x768 pixel images ?
AKohya_ss dreambooth actually seems to train a person better for styling than the A1111 Dreambooth extension
AI couldn't get the example data set from YouTube trained properly with the Dreambooth extension, Kohya_ss is doing a much better job
Fsd 21 is really hard to train and get good results
Finteresting i think i should compare
Fby the way it turns out that 768x1024 loses styling ability significantly
Fgood for real images but not for style
Fand my training dataset had so many repeating cloth and background
Fthat degraded styling significantly
Fawesome ty so much
T@Dr. Furkan Gözükara in cloning, can I resume training Eg i left at 2550.gpt can I start again from that?
Twhy is this picking random voices? Can i use one specific tone only? Please guide
Fyes you can continue training from there
Frandom voices could be related to your training progress and dataset
TDoes more training means better result? which parameter to select to resume training?
TDataset contains only my voice of 16 mins and trained it for 5 hours until 2155_gpt.pth
Fnot at all
F16 min voice could be low amount
Fusually more is better in training dataset as long as high quality
Awand.ai helps to determine where styling gets lost as well 