Include CLIPTextModel parameters in conversion #695
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The documentation is not available anymore as the PR was closed or merged. |
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This looks good for me! @kanewallmann could you run |
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Done @patrickvonplaten |
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A stable diffusion checkpoint might have a CLIPTextModel with trained weights (this is how textual inversion works).
This change copies over the weights from the given checkpoint instead of using the default "openai/clip-vit-large-patch14" weights so that a model trained with textual inversion can be converted for use with diffusers library too.