server execution error : could not allocate tensor with 52428800 bytes . There is not enough GPU video memory avaialble . Graphic Card - Asus rx6600 8gb vram , why is this happening? Any solution?

[ishanjaiswal2610]

[Acly]

When I switch to DirectML a 640x512 image uses almost 12GB VRAM with latest version. I also think this was better at some point and fit into 8GB...

I'm not sure what I can do about it though, it doesn't look like anybody cares enough about AMD on Windows to improve the situation in ComfyUI :\

[ishanjaiswal2610]

When I switch to DirectML a 640x512 image uses almost 12GB VRAM with latest version. I also think this was better at some point and fit into 8GB...

I'm not sure what I can do about it though, it doesn't look like anybody cares enough about AMD on Windows to improve the situation in ComfyUI :\

Can i use my friend's gpu to use krta he has rtx 3060 , but he is not living with me can i use his gpu ? If yes plss help me how can i use his gpu for my work @Acly

[Sil3ntKn1ght]

When I switch to DirectML a 640x512 image uses almost 12GB VRAM with latest version. I also think this was better at some point and fit into 8GB...

I'm not sure what I can do about it though, it doesn't look like anybody cares enough about AMD on Windows to improve the situation in ComfyUI :\

would this work for him? or anything like it..
and can we get a toggle in configuration to turn these on/off for those that get confused.
i image with a note requires restarting

to work around this we can edit the setting.json found in
C:\Users\PC\AppData\Roaming\krita\ai_diffusion

open settings.json with note pad,
add too "server_arguments": "--force-fp16" or "--force-fp32"
id recommend testing each to see whats faster for you.
please comment below your card and how these work for you.

its should look something like this (note i'm testing --normalvram feel free to test and feedback in comments)

{
"server_mode": "managed",
"server_path": "C:/Users/PC/AppData/Roaming/krita/pykrita/ai_diffusion/.server",
"server_url": "127.0.0.1:8188",
"server_backend": "cuda",
"server_arguments": "--force-fp16 --normalvram",
"selection_grow": 5,
"selection_feather": 5,
"selection_padding": 7,
"new_seed_after_apply": false,
"prompt_line_count": 2,
"show_negative_prompt": true,
"auto_preview": true,
"show_control_end": false,
"history_size": 1500,
"history_storage": 100,
"performance_preset": "low",
"batch_size": 2,
"resolution_multiplier": 1.0,
"max_pixel_count": 2,
"debug_dump_workflow": false
}

[Acly]

add too "server_arguments": "--force-fp16" or "--force-fp32"

I don't think those do anything with DirectML. It always uses FP32 and doesn't support anything else.

[Acly]

Can i use my friend's gpu to use krta he has rtx 3060 , but he is not living with me can i use his gpu ?

Yes you can, but a bit of networking knowledge is required, I can't give you a complete walkthrough here. Maybe you can find guides on the internet.

Steps are roughly:

1. Setup the server on your friends PC. Either install Krita+Plugin there and go through the installer, or copy the server folder from your PC might work. Or install ComfyUI+dependencies manually.
2. Run the server from command line with the --listen argument
3. If you want to connect to your friend's PC over the internet, you either need to do port forwarding (security risk, not recommended), or use a reverse proxy like nginx, or a VPN.

[Sil3ntKn1ght]

Can i use my friend's gpu to use krta he has rtx 3060 , but he is not living with me can i use his gpu ?

Yes you can, but a bit of networking knowledge is required, I can't give you a complete walkthrough here. Maybe you can find guides on the internet.

Steps are roughly:

1. Setup the server on your friends PC. Either install Krita+Plugin there and go through the installer, or copy the server folder from your PC might work. Or install ComfyUI+dependencies manually.

2. Run the server from command line with the `--listen` argument

3. If you want to connect to your friend's PC over the internet, you either need to do port forwarding (security risk, _not_ recommended), or use a reverse proxy like [nginx](https://www.nginx.com/), or a VPN.

omg i need a video or guide so i can use this on my local network and use my lounge pc from my desk pc.

[Acly]

It might also be possible to use AMD on Windows with ZLUDA. It should be much better performance and memory efficiency. There is a ComfyUI fork. But you will have to set it all up yourself and I can't say if everything is supported. It's not possible to test it without actually having AMD hardware.