Faceswap Forum

I am not blasting you. Just pointing out Dunning Kruger effect. The simple matter is that I don't have to train to 100 billion to know that FaceSwap can never become an "instant swapper" for the same reason that I know that a car cannot fly if you give it high enough octane fuel. It's not...

Perfect loss is mathematically impossible. It's not just an infeasible thing, it's complete nonsense. Like claiming that some invention creates more power than it takes in -- It's simply impossible. That said, what you're doing is even worse in many ways. Effectively you're massively overtraining y...

So, I have one DNY512 no edits stock model that I've struggled with NaNs, etc to get to over 1.11 million. I thought for giggles I'd try it out as a pre-training for another model with a completely different face structure. The two models couldn't be more different. And I was shocked to literally w...

Interesting. So In a nutshell, you're proposing that by training a model against itself for approx. 2M iterations will lead to a near perfect model that can then be used to train another model to near perfection? Did I get this right? Yes you got 1 thing right from my long post i.e a near perfect m...

This was one of the questions on perfect 0.0 loss : - https://forum.faceswap.dev/viewtopic.php?p=5140 that I asked about a year ago when I was known as ugramund here. I think a perfect 0.0 loss is not possible while swapping faces but it is possible when you do something called as Image Recreation. ...

Aren't you worried that such writing will ruin your NVME? I am using my Model's folder on a 120GB Kingston HyperXfury SSD which I had no use & it was lying around. It has a tolerance of 354 TBW which I don't think any 120GB SSD has (I think this model has been discontinued). I have not even wri...

Sorry for the late reply, I was kinda of busy. I have already founded the solution for this. I just increased the SAVE INTERVAL from default 250 to 10000. To do that, click on the SAVE INTERVAL & enter the desired value manually. My RTX 3080 Ti achieves 10k iterations in around 15-20 minutes on ...

Is there a way to make a Disney DNY 384 model ? I tried by increasing the output size to 384 & changing the encoder scaling but that didn't work. Also tried to change the encoder to EfficientnetV2_S & changing the encoder scaling but that also didn't work. I tested both the above settings in...

Is it possible to load weights from a DNY 256 model to DNY 512 model because when i try to do so, I get the following warning :- 09/09/2022 10:35:10 WARNING The weights for layer 'fs_dny_enc_convblk_6_1_conv2d' are of incompatible shapes. Skipping. 09/09/2022 10:35:10 WARNING The weights file 'E:\Ex...

In the DNY models, what are the original input sizes? I mean I want to know at what input resolution it trains the model? Should I train them with input size of half the output size or equal-to the output size? Right now I am working on a project with DNY 512 model & I am using input size of 256...

Thanks a million for explaining this math. I am sure this post will help many people who are trying to experiment with Efficientnet encoder. I applied your EfficientnetV2_S scaling settings on DNY 256 model & it woked straight away. I always train all my models at learning rate of 3e & so it...

I don't understand the deep learning fundamentals so when opening the Phaze A model, I always get blown away by the options I see. I have read that Efficientnet v1/v2 are great trainers with high accuracy, faster training & lower model size. Has somebody here used the Efficientnet v1/v2 with Dis...

Just last week I completed building my deep learning rig featuring the beast RTX 3080 ti with 2 NVMe Samsung SSDs & 1 HDD. Right now I testing two of my most interested models Realface & Disney 256 plugin under Phaze A. What I have noticed is when using my Model & Training images folder ...

I have not yet understood Phaze-A but is Progressive Image resize training supported in Phaze-A? I have read about it here : - https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431 Is it possible that in Faceswap we can slo...

While training a model, which one is the main cause of VRAM usage -> Input size or Output size? For eg: I am willing to train a RealFace model, so which of the following case will use more VRAM :- Case A) Input size = 64px Output size = 128px Case B) Input size = 128px Output size = 64px And is this...

Hi everyone, I am new to this forum. I am making a PC purely for deep learning purpose with no intentions of gaming. My budget allows me to buy a RTX A4000 which in my country is cheaper than a RTX 3070. Here is the official page of the card :- Nvidia RTX A4000 Is this GPU supported by the Faceswap ...