I'm getting out of memory on cuda, and I want to specify the tile size, but I need to know what code to insert where!

[tom21001112]

I'm using the animation kit-AI on google colab and cuda is running out of memory, I want to specify the tile size, please tell me where to insert the code! -I want to specify the tile size, but I need to know where to insert the code! What code do I put it in?
↓URL
https://colab.research.google.com/github/sadnow/AnimationKit-AI_Upscaling-Interpolation_RIFE-RealESRGAN/blob/main/AnimationKit_Rife_RealESRGAN_Upscaling_Interpolation.ipynb#scrollTo=MhMORNgduDyt

Error message "
Error CUDA out of memory.Tried to allocate 7.91 GiB (GPU 0; 14.76 GiB total capacity; 2.51 GiB already allocated; 2.81 GiB free; 10.90 GiB reserved in total by PyTorch) If reserved memory is more than allocated memory, try setting max_split_size_mb to prevent fragmentation. See the documentation on memory management and PYTORCH_CUDA_ALLOC_CONF.
If CUDA runs out of memory, try setting -tile to a smaller number.
Test 428 A00429
"

[AIManifest]

You would insert

I'm using the animation kit-AI on google colab and cuda is running out of memory, I want to specify the tile size, please tell me where to insert the code! -I want to specify the tile size, but I need to know where to insert the code! What code do I put it in? ↓URL https://colab.research.google.com/github/sadnow/AnimationKit-AI_Upscaling-Interpolation_RIFE-RealESRGAN/blob/main/AnimationKit_Rife_RealESRGAN_Upscaling_Interpolation.ipynb#scrollTo=MhMORNgduDyt

Error message " Error CUDA out of memory.Tried to allocate 7.91 GiB (GPU 0; 14.76 GiB total capacity; 2.51 GiB already allocated; 2.81 GiB free; 10.90 GiB reserved in total by PyTorch) If reserved memory is more than allocated memory, try setting max_split_size_mb to prevent fragmentation. See the documentation on memory management and PYTORCH_CUDA_ALLOC_CONF. If CUDA runs out of memory, try setting -tile to a smaller number. Test 428 A00429 "

You would insert -tile 256 to !python inference _realesrgan.py -tile 256 all you’re inserting is -tile 256 leave the rest of the code as is. Hope this helps.