Open t1307109256 opened 10 months ago
Hi, thanks for your interest in our work. Currently we use a 0.1 multiplier in the for the residual editing directions we add:
w_hat = w + 0.1 * encoder.forward_features(features)
In some cases, this may cause the model to apply the manipulations strongly, resulting in exaggerated outputs. You can change this multiplier to control the degree of manipulation, lower values will yield results closer to the original inversion but with less apparent manipulations.
Hello, dear author, I found that when modifying a certain attribute of an image, some irrelevant areas will also be modified. How should I adjust the prompt words to avoid this situation? Can you give me some advice? Any suggestions?