Update app.py

app.py

@@ -9,7 +9,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 model_2x = "stabilityai/sd-x2-latent-upscaler"
 model_4x = "stabilityai/stable-diffusion-x4-upscaler"
 # Load the models
-sd_2_0_2x = .from_pretrained(model_2x, torch_dtype=torch.float16, revision="fp16") if torch.cuda.is_available() else StableDiffusionLatentUpscalePipeline.from_pretrained(model_2x)
+sd_2_0_2x = StableDiffusionLatentUpscalePipelin.from_pretrained(model_2x, torch_dtype=torch.float16, revision="fp16") if torch.cuda.is_available() else StableDiffusionLatentUpscalePipeline.from_pretrained(model_2x)
 sd_2_1_4x = StableDiffusionUpscalePipeline.from_pretrained(model_4x, torch_dtype=torch.float16, revision="fp16") if torch.cuda.is_available() else StableDiffusionUpscalePipeline.from_pretrained(model_4x)
 
 # Define the input and output components for the Gradio interface