Update README.sd-embeddings.md
Browse files- README.sd-embeddings.md +4 -2
README.sd-embeddings.md
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@@ -12,9 +12,10 @@ Note that SD 1.5 has a different format for embeddings than SDXL. And within SD
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### SD 1.5 pickletensor embed format
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I have observed that .pt embeddings have a dict-of-dicts type format. It looks something like this:
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[
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"string_to_token": {'doesntmatter': 265}, # I dont know why 265, but it usually is
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"string_to_param": {'doesntmatter': tensor([
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"name": *string*,
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"step": *string*,
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"sd_checkpoint": *string*,
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@@ -34,9 +35,10 @@ The ones I have seen, have a much simpler format. It is a trivial format compare
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This has an actual spec at:
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https://huggingface.co/docs/diffusers/using-diffusers/textual_inversion_inference
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-
But it's pretty simple
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summary:
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{
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"clip_l": Tensor([][768]),
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"clip_g": Tensor([][1280])
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### SD 1.5 pickletensor embed format
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I have observed that .pt embeddings have a dict-of-dicts type format. It looks something like this:
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+
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[
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"string_to_token": {'doesntmatter': 265}, # I dont know why 265, but it usually is
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+
"string_to_param": {'doesntmatter': tensor([][768])},
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"name": *string*,
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"step": *string*,
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"sd_checkpoint": *string*,
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This has an actual spec at:
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https://huggingface.co/docs/diffusers/using-diffusers/textual_inversion_inference
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+
But it's pretty simple.
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summary:
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+
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{
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"clip_l": Tensor([][768]),
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"clip_g": Tensor([][1280])
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