Closed ishanjaiswal2610 closed 3 months ago
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 :\
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
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 }
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.
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:
--listen
argumentCan 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.
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.