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Many thanks for sharing your impressive work and code. I am reading your code line by line for better understanding. One point I cannot figure out is that, why is text embedding also linearly interpolated (emb_list = auto_lerp(tlist, emb0, emb1) )? In my opinion, this kind of interpolated will change the condition (i.e. prompt), and all initial noisy input should share the same prompt condition. Please help me understand it. Many thanks again!
The text was updated successfully, but these errors were encountered:
In the paper cases, two input images for interpolation share the same prompt, i.e., emb0=emb1. Therefore, the linear interpolation makes no difference for these cases since (1-a)*emb+a*emb=emb. We provide this prompt linear interpolation for potential user testing for interpolating images with different prompts.
Many thanks for sharing your impressive work and code. I am reading your code line by line for better understanding. One point I cannot figure out is that, why is text embedding also linearly interpolated (emb_list = auto_lerp(tlist, emb0, emb1) )? In my opinion, this kind of interpolated will change the condition (i.e. prompt), and all initial noisy input should share the same prompt condition. Please help me understand it. Many thanks again!
The text was updated successfully, but these errors were encountered: