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I am confused about how to extract sd features. Actually the file extractor_sd.py seems to output a feature in shape of [1, 1280, 16, 16] without obvious semantic information. And it seems to use the model weights from project ODISE. Could you please provide a script to easily extract and visualize the sd features using publicly available stable diffusion model weights? Thanks a lot!
The text was updated successfully, but these errors were encountered:
Please refer to this notebook for a detailed extraction and visualization.
We only use the weights of ODISE implicit captioner and its post-processor for segmentation, and the rest is SD-1-5 public weight. We are planning to provide the script only using the public stable diffusion weight, but unfortunately I'm in the middle of a few things and won't be able to update it before mid-December.
Hi Junyi,
I am confused about how to extract sd features. Actually the file extractor_sd.py seems to output a feature in shape of [1, 1280, 16, 16] without obvious semantic information. And it seems to use the model weights from project ODISE. Could you please provide a script to easily extract and visualize the sd features using publicly available stable diffusion model weights? Thanks a lot!
The text was updated successfully, but these errors were encountered: