SamuZai
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SD GUI 0.62

While my search continue for a better host, here is a link for drive and a mirror for it.

Also made an extra build that is exactly like the regular build, but without the "torch" folder, so you just need to copy the torch folder from another build to this ne. It made the .rar a lot smaller.

SD GUI 0.62:
https://drive.google.com/file/d/1NwlsU81-ryPlArgw_ceXmS358OwW_PxX/view?usp=share_link
Mirror:

https://drive.google.com/file/d/14_IqqLf4vJaE0-qXf1OtyKCVi7pimmnv/view?usp=share_link 


SD GUI 0.62 [Without the torch folder]:

https://drive.google.com/file/d/1ekMzk-6jeIVc4CP6_U-Vbt3GF31m5GjH/view?usp=share_link 

https://drive.google.com/file/d/1rreS3q2mkhi524Qqw6LO5X1w0mCfi9Uw/view?usp=share_link


Link for the models [They are the same for the previous post]:
https://mega.nz/folder/2x1CBRJL#MzMfyijznMs-2t-VqBXYPQ
Driver Mirror:
https://drive.google.com/drive/folders/1MqjzOisTaV0Y1fBfYRVRS9fG6UrFOkK7?usp=share_link


This build have most bug fixes and small improvements.


Will start reading and answering all the messages here in just a few minutes, but hopeful this version will fix most of the problems.

Right now i'm starting to implement the upscaler models for SD, if the results are good, will replace the current upscalers for those.

I'm also starting a GUI for OpenAi Whispers, that is used to transcribe audio files to text and also do translations.


Comments

When using ANY of the Upscale options- it works but see new message/error 66it [00:40, 1.61it/s] Pipelines loaded with `torch_dtype=torch.float16` cannot run with `cpu` device. It is not recommended to move them to `cpu` as running them will fail. Please make sure to use an accelerator to run the pipeline in inference, due to the lack of support for`float16` operations on this device in PyTorch. Please, remove the `torch_dtype=torch.float16` argument, or use another device for inference. Loading Facefix Done - if select float32 checkbox this error goes away.

Using anything v3 VAE-it renders but see this error a render start - Loading VAE making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips\vgg.pth Loading Hyper Loading Scheduler Using Half Header Prompts in Queue: 1 Rendering Text2Img:


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