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Seems like an interesting project. Regarding the name, is there permission to use something so similar to AUTOMATIC1111 [1]? > Diffusers will Cuda out of memor
by bArray 3y ago
Seems like an interesting project. Regarding the name, is there permission to use something so similar to AUTOMATIC1111 [1]?
> Diffusers will Cuda out of memory/perform very slowly for huge generations, like 2048x2048 images, while Auto 1111 SDK won't.
Do we have some numbers on this? I have seen AUTOMATIC1111 fall-over whilst using only half the available of GPU VRAM - there seems to be some weirdness where it tries to allocate before de-allocating the last batch or something.
> You can use any of the 6 compatible RealEsrgran models/weights with our RealEsrgran pipeline for upscaling images. Here are the model ids:
I've previously had trouble trying to use AUTOMATIC1111 upscalers, it seems like it needs more GPU VRAM than just generating the image already upscaled.
[1] https://github.com/AUTOMATIC1111/stable-diffusion-webui https://github.com/AUTOMATIC1111/stable-diffusion-webui
- saketh105 3y ago- We will release some benchmarks on the results we found on the Github soon. - Let us know if you run into any bugs with GPU VRAM with Automatic 1111 with the upscalers/benchmarks. We are shipping a feature that will allow you to customize it even further and specify certain flags that can significantly reduce the VRAM (but may slow down the generation speed). These flags are already available in the Web UI; we'll have them easily available in the SDK.