Can you go into a bit more detail?
What architecture did you use? Is the month training time really just training with mini batches with a constant learning rate? Or are these many failed attempts until you trained a successful model for a few days in the end?
I particularly interested in the image generation part (the DDPM/SGM)
I particularly interested in the image generation part (the DDPM/SGM)