Update app.py

app.py

@@ -64,7 +64,7 @@ tokenizer_3 = T5TokenizerFast.from_pretrained(
 # Ensure model and scheduler are initialized in GPU-enabled function
 if torch.cuda.is_available():
     pipe = StableDiffusion3Pipeline.from_pretrained(repo, vae=vae, transformer=transformer, tokenizer_3=tokenizer_3, text_encoder_3=text_encoder_3, torch_dtype=torch.float16).to("cuda")
-    pipe2 = StableDiffusion3Img2ImgPipeline.from_pretrained(repo, vae=vae, transformer=transformer, tokenizer_3=tokenizer_3, text_encoder_3=text_encoder_3, torch_dtype=torch.float16).to("cuda")
+    pipe2 = StableDiffusion3Img2ImgPipeline.from_pretrained(repo, vae=vae, transformer=transformer, tokenizer=tokenizer_3, text_encoder=text_encoder_3, torch_dtype=torch.float16).to("cuda")
 
 pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_config(pipe.scheduler.config)
 pipe2.scheduler = FlowMatchEulerDiscreteScheduler.from_config(pipe.scheduler.config)