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Thank you so much for your attention and support. To help reduce memory overhead, since ColorFlow does not rely on text conditions, I would kindly suggest avoiding the CFG strategy and instead using empty text for inference. Additionally, you could pre-save the T5 model’s output for empty text inputs, which would allow you to skip loading the T5 model entirely during inference. I’ve had quite a lot on my plate recently, but I’ll make sure to update the code with these optimizations as soon as I can. Thank you for your understanding and patience!
It seems my 12 GB VRAM RTX 4070 Super is not enough to run this. Is there any possibility for further optimization such as quantization?
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