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Also I think you need a 40GB "card", not just 40GB of vram. I wrote about this upthread, you're probably going to need one card, I'd be surprised if you could chain several GPUs together.


Oh right, I forgot some diffusion models can't offload / split layers. I don't use vision generation models much at all - was just going off LLM work. Apologies for the potential misinformation.


Not sure what you mean or new to llms, but two RTX 3090 will work for this, and even lower-end cards will (RTX3060) once it's GGUF'd


This isn't a transformer, it's a diffusion model. You can't split diffusion models across compute nodes.


do you mean https://github.com/pollockjj/ComfyUI-MultiGPU? One GPU would do the computation, but others could pool in for VRAM expansion, right? (I've not used this node)


Nah, that won’t gain you much (if anything?) over just doing the layer swaps on RAM. You can put the text encoder on the second card but you can also just put it in your RAM without much for negatives.




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