2023年5月31日 · The VAE is what gets you from latent space to pixelated images and vice versa. There's hence no such thing as "no VAE" as you wouldn't have an image. It hence would have used a default VAE, in most cases that would be the one used for SD 1.5. A VAE is hence also definitely not a "network extension" file.

2022年11月28日 · In practice, in SD, the VAE is pretty aggressive and the dataset is filtered (indirectly through the aesthetic score) which removes images with a lot of text. This combined with the autoencoder is a significant reason SD struggles more with producing text than models like Dall-e. From the above, an autoencoder is essential in SD.

2022年10月25日 · download the VAE file from huggingface (around 300mb) put it into the folder where your .ckpt files are. rename the file to [name of the model].vae.pt e.g. if you want it to work with SD_1_4.ckpt you'd name it SD_1_4.vae.pt you can copy paste and rename the vae files for all the checkpoints you want to add it to.

2023年8月6日 · The official version of SD from SAI adds invisible watermarking to the final image after it comes out of the VAE but I don't know of any popular UIs which do that. The VAE itself does not add a watermark but images created with a latent diffusion model would probably be recognizable as AI generated simply because of VAE artifacts.

2022年12月2日 · A VAE extends this concept by making the middle part, or the .zip file probabilistic instead of simply flat encoded data at rest. A little bit of an mathematical annoyance, but it makes it more robust to corruption and other stuff.

2023年3月20日 · To get the quick settings toolbar to show up in Auto1111, just go into your Settings, click on User Interface and type `sd_model_checkpoint, sd_vae, sd_lora, CLIP_stop_at_last_layers` into the Quiksettings List. Then click Apply settings and Reload UI. That's it, you're all done!

2023年7月27日 · SD VAE was trained with either MAE loss or MSE loss + lpips. I attempted to implement this paper but didn't achieve better results - it might be a problem with my skills or a simple lack of GPU power (I can only load a batch size of 2, 256 pixels), but perhaps someone else can handle it better.

2023年2月18日 · Use a comma to separate the argument like this. sd_model_checkpoint, sd_vae Apply settings and restart the UI. Add your VAE files to the "stable-diffusion-webui\models\VAE" Now a selector appears in the Webui beside the Checkpoint selector that lets you choose your VAE, or no VAE. You select it like a checkpoint.

the fp16 is enough, no need for wasting space with the 4Gb model Just for running this GUI, sure... but I was thinking of making a separate repo consisting of the 1.5 model with the StabilityUI autoencoder to serve as a replacement for the official 1.5 model.

2023年3月8日 · When the decoding VAE matches the training VAE the render produces better results. The default VAE weights are notorious for causing problems with anime models. That's why column 1, row 3 is so washed out. (See this and this and this.) The other columns just show more subtle changes from VAEs that are only slightly different from the training VAE.