[Advanced Training Script] Fix pipe example

2025-12-06 12:34:13 +08:00 · 2023-12-08 15:56:17 +01:00
1 changed files with 2 additions and 2 deletions
--- a/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py
+++ b/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py
@@ -135,8 +135,8 @@ from safetensors.torch import load_file
        """
        diffusers_example_pivotal = f"""embedding_path = hf_hub_download(repo_id='{repo_id}', filename="embeddings.safetensors", repo_type="model")
 state_dict = load_file(embedding_path)
-pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
-pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
+pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
+pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
        """
        if token_abstraction_dict:
            for key, value in token_abstraction_dict.items():