This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
I intend to create a series of embeddings for "fake" (but photorealistic) women as a solution to the "same face" phenomenon. Please be on the lookout for future releases with the "Virtual Goddess" keyphrase in the title (or follow me.)
Since this person doesn't exist in the real world, you can feel free to use it for commercial and/or NSFW work. Any resemblance to anyone in the real world is unintentional and coincidental.
I've also provided a collection of various embeddings in my "Virtual Goddess" series along with a wildcard file (for the Dynamic Prompts addon) which you can use to pick an embedding at random in my Virtual Goddess SD 1.5 Female Face Pack. Note this may be updated periodically so the latest Virtual Goddess releases may not always be present.
Description
FAQ
Comments (1)
A1111 spits out the following error ...
*** Error verifying pickled file from /Volumes/SD/embeddings/Virtual_Goddess_Elena.pt*** The file may be malicious, so the program is not going to read it.*** You can skip this check with --disable-safe-unpickle commandline argument.*** Traceback (most recent call last): File "/Volumes/SD/modules/safe.py", line 137, in load_with_extra check_pt(filename, extra_handler) File "/Volumes/SD/modules/safe.py", line 84, in check_pt check_zip_filenames(filename, z.namelist()) File "/Volumes/SD/modules/safe.py", line 76, in check_zip_filenames raise Exception(f"bad file inside {filename}: {name}") Exception: bad file inside /Volumes/SD/embeddings/Virtual_Goddess_Elena.pt: ZM_elena/byteorder---*** Error loading embedding Virtual_Goddess_Elena.pt Traceback (most recent call last): File "/Volumes/SD/modules/textual_inversion/textual_inversion.py", line 203, in load_from_dir self.load_from_file(fullfn, fn) File "/Volumes/SD/modules/textual_inversion/textual_inversion.py", line 184, in load_from_file embedding = create_embedding_from_data(data, name, filename=filename, filepath=path) File "/Volumes/SD/modules/textual_inversion/textual_inversion.py", line 284, in create_embedding_from_data if 'string_to_param' in data: # textual inversion embeddings TypeError: argument of type 'NoneType' is not iterable---Details
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.