Control Net Upscaler for Z-image Turbo?
I was wondering if we could have something like this control net for the z-image? It would be great to get faster results than we do with Flux. Also, this can be used not only for upscaling for a better solution than img2img by keeping very close to the source and adding details
https://huggingface.co/jasperai/Flux.1-dev-Controlnet-Upscaler
I'd be happy to work on this. Do you mean inputting low-quality images and generating high-resolution outputs? What target resolution are you aiming for?
Yes pretty much helps upscale like this link examples/showcase.jpg on the hugging space link I posted pretty much that get low quality images like compressed jpgs, grain, low resolution and creates a better image on the full sampling size.
Hi you can use Seedvr2 for upscale , works very well with z-image ;)
Jackburton, I don't think you understood the usage here. It is not about getting big. I have already been using SeedVR2.5 for a while. This is for fixing very low-resolution images, but it's also excellent for creative upscaling, producing results similar to Magnific AI Research's divide-and-conquer workflow. You will understand. This process allows you to upscale to more than 10k images with Creative Upscale. No Sweat SeedVR2.5 has a memory limit for large images. You can use 5090, max 8k, and it is not a creative upscaler; it doesn't work in some cases. It's just that clarity upscaler and magnific AI use the same method, but FRE,E with the speed and quality of z-image, will allow anyone to get 10k images easily with an 8GB GPU with GGUF. And you welcome those with low VRAM and didn't know this exists