There were 4 issues fixed:

1. When sampling with prior preservation, the prompt was not passed to the correct argument position, causing a generation error during sampling.
2. When sampling with prior preservation, the transformer passed to the pipeline did not have the torch_dtype argument, causing issues with mixed precision.
3. When sampling with prior preservation, the prompt was passed in fp32 without proper casting, leading to mixed precision mismatches.
4. When not args.train_text_encoder, prompt_embeds and pooled_prompt_embeds were None, leading to the same error as reported inRuntimeError: The size of tensor a (4608) must match the size of tensor b (5120) at non-singleton dimension 2 during DreamBooth Training with Prior Preservation #10722.