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app.py

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+from diffusers import StableDiffusionPipeline
+import matplotlib.pyplot as plt
+import torch
+
+model_id1 = "dreamlike-art/dreamlike-diffusion-1.0"
+
+pipe = StableDiffusionPipeline.from_pretrained(model_id1, use_safetensors=True)
+pipe = pipe.to("cpu")
+
+def generate_image_interface(prompt):
+    params = {
+        'prompt': prompt,
+        'num_inference_steps': 100,
+        'num_images_per_prompt': 2,
+        'height': int(1.2 * 640)
+    }
+
+    img = pipe(**params).images
+    return img[0], img[1]
+
+import gradio as gr
+
+demo = gr.Interface(
+    fn=generate_image_interface,
+    inputs=["text"],
+    outputs=["image", "image"],
+    title="Image Generation Interface",
+    description="Generate images based on prompts."
+)
+
+demo.launch()