Upload app.py

app.py

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+import streamlit as st
+from diffusers import AutoPipelineForText2Image
+import torch
+
+# Load model and move it to CUDA
+pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
+pipe.to("cuda")
+
+def generate_image(prompt):
+    # Generate image using the model
+    image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
+    return image
+
+# Streamlit app
+st.title("Text to Image Generation App")
+
+# User input prompt
+prompt = st.text_area("Enter a prompt for image generation:")
+
+if st.button("Generate Image"):
+    if prompt:
+        # Generate and display the image
+        st.image(generate_image(prompt), caption="Generated Image", use_column_width=True)
+    else:
+        st.warning("Please enter a prompt.")