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why did the checkpoint is trained for each room type?
I‘d like to know the reason why why did you train a checkpoint for each room type? Is this the best approach after some trial and error?
Another way, room type is added as a condition to Unet and training a checkpoint for all room type. Is it possible?
Thanks for any help
To ensure fair comparison with previous methods, we train different diffusion models for different room types.
But yeah, it's possible to train a unified diffusion model with room type condition