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I have tested the glide model for a few days (I tried many kinds of prompts), and my result is that clip_guided works better than classifier-free text2im.
clip_guided can correctly follow the intention of my prompt, like "a boat on the top of the mountain", or "Pablo Picasso: Into the wind", and text2im failed to do that.
However the paper claims that classifier-free text2im > clip_guided. I wonder why? Is there anything wrong with the released model?
The text was updated successfully, but these errors were encountered:
The glide-text2sim model that is better than clip_guided model is the one trained with a large private dataset and it is not released. Whereas, this released model is trained on a filtered and less diverse dataset.
I have tested the glide model for a few days (I tried many kinds of prompts), and my result is that clip_guided works better than classifier-free text2im.
clip_guided can correctly follow the intention of my prompt, like "a boat on the top of the mountain", or "Pablo Picasso: Into the wind", and text2im failed to do that.
However the paper claims that classifier-free text2im > clip_guided. I wonder why? Is there anything wrong with the released model?
The text was updated successfully, but these errors were encountered: