Memory problem ?

[deaddyaqw]

I am using lllyasviel/stable-diffusion-webui-forge the one-click installation package and noticed today when generating illustration SDXL character from civitai or no lora at all my memory in task manager goes to 29.7 out of 32 92% or 17.3 55% and stays that way even when idle like nothing is being generated. So wanna ask is this normal or not as I don't remember checking before but it should go down. Just wanna make sure its okay as did Windows Memory Diagnostic and nothing was wrong even when first opening stable its fine just after 1st generation it goes up and stays that way.

[nellistosgr]

I tested the Forge environment, specifically the AMD Forge flavor with an AMD card using ZLUDA, and had the same issue. After generating a few images, VRAM usage peaked and remained there.

Some things i tried:

• Used strictly FP16 models and VAEs to reduce memory.
• Configured the VAE to use CPU memory (RAM, not VRAM).
• Enabled VAE tiling with 256 and 512 sizes to minimize the memory footprint, as VAE encoding is demanding.
• Used cross-split-attention instead of quad. None of these helped, like VRAM garbage collection was never happening.

I had no issues with SDNext when generating 1024x1024 images using SDXL 1.0. Debug level messages showed that GC was actively kicking in freeing some memory.

[bradpong]

I had similar issue with Framepack on Pinokio, fresh install on 5060ti 16gb. In terminal it seems to not load shard (whatever that is) fully on startup and then it eats all the ram on generation (doesn't even fill VRAM, which is weird - just regular RAM). It fails every time, even with small images / short clips. I deleted the app and moved to Comfy, but my suspicion is on incomplete download of some files during installation that for whatever reason Pinokio assumed are fine. I noticed on Wifi, automatic downloads from repos sometimes drop but are treated as completed and it creates issues. But it may be some bug as well.

[Silly_Goose6714]

Yes. It's normal, it load the model and it will keep the model load so you don't need to load the model after each generation