Update app.py

app.py

@@ -7,7 +7,7 @@ from PIL import Image
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_id = "alibaba-pai/pai-diffusion-poem-large-zh"
 
-pipe_text2img = LDMZhTextToImagePipeline.from_pretrained(model_id, use_auth_token="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")
+pipe_text2img = LDMZhTextToImagePipeline.from_pretrained(model_id)
 pipe_text2img = pipe_text2img.to(device)
 
 def infer_text2img(prompt, guide, steps):
@@ -17,7 +17,6 @@ def infer_text2img(prompt, guide, steps):
     images = np.concatenate([
         np.concatenate(images[0:2], axis=0),
         np.concatenate(images[2:4], axis=0),
-    #   np.concatenate(images[6:9], axis=0),
     ], axis=1)
     images = Image.fromarray(images)
     return images
@@ -29,7 +28,7 @@ with gr.Blocks() as demo:
                 ["接天莲叶无穷碧 映日荷花别样红"],
                 ]
     with gr.Row():
-        with gr.Column(scale=1, ):
+        with gr.Column(scale=0.5, ):
             image_out = gr.Image(label = '输出(output)')
         with gr.Column(scale=1, ):
             prompt = gr.Textbox(label = '提示词(prompt)')