Update script.py

script.py

@@ -51,7 +51,7 @@ def do_inference(dataset_name, output_dir, num_tokens):
             pipe.load_textual_inversion(state_dict["clip_l"], token=tokens_list, text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
             pipe.load_textual_inversion(state_dict["clip_g"], token=tokens_list, text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
             
-            prompts = [prompt.replace("TOK", tokens_sequence) for prompt in prompts]    
+            prompts = [prompt.replace("EDUGAEV", tokens_sequence) for prompt in prompts]    
 
         for i, prompt in enumerate(prompts):
             image = pipe(prompt, num_inference_steps=25, guidance_scale=7.5).images[0]