Unveiling the Ultimate Free SupIR Resolution Upscaler: Magnific Who? | SupIR Super Resolution 🚀

Unveiling the Ultimate Free SupIR Resolution Upscaler: Magnific Who? | SupIR Super Resolution

Do you have a 12GB card and feel left out? Check instructions below on how to adjust the parameters to enable the usage of a smaller card.

Skip LLaVA Stuff: LLaVA is a feature that creates a prompt from the original image, but it requires a lot of memory. By skipping this step, you can avoid unnecessary memory usage.

Model Selection: Choosing a smaller or less complex SDXL model (such as Juggernaut) can also help reduce VRAM usage compared to larger models.

Memory-efficient Installation: When installing requirements, be cautious of package versions. Sometimes, certain versions may consume more memory. Ensure you're using compatible versions to avoid unnecessary memory consumption.

Hardware Consideration: If possible, running SUPIR on a machine with more VRAM can also alleviate memory constraints.

By incorporating these steps and parameters, you should be able to reduce VRAM usage while using SUPIR for image processing tasks.

Youtube: @MrScottyWelsch and @deepfakemcfakerson9384

[djivanoff]

You'd better show me how you installed it.

[gauthierquercia]

not even close to magnific ai, and yes i have used both.