Update app.py

app.py

@@ -10,7 +10,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False)
 pipeline = StableDiffusionXLPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True, scheduler=scheduler).to(device)
 
-def run(image, src_style, src_prompt, prompts, shared_score_shift, shared_score_scale, guidance_scale, num_inference_steps, large=True, seed):
+def run(image, src_style, src_prompt, prompts, shared_score_shift, shared_score_scale, guidance_scale, num_inference_steps, seed, large=True):
     prompts = prompts.splitlines()
     dim, d = (1024, 128) if large else (512, 64)
     image = image.resize((dim, dim))