Create app.py

app.py

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+import gradio as gr
+import torch
+from diffusers import DiffusionPipeline
+
+# Load the WAN 2.1 T2V Model
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("Isi99999/Wan2.1-T2V-1.3B").to(device)
+
+def generate_image(prompt):
+    """Generates an image from text prompt using WAN 2.1"""
+    image = pipe(prompt).images[0]
+    return image
+
+# Create Gradio UI
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter Prompt"),
+    outputs=gr.Image(label="Generated Image"),
+    title="WAN 2.1 - Text-to-Image Generation",
+    description="Generate images from text using WAN 2.1 T2V model."
+)
+
+# Launch the app
+interface.launch()