Create app.py

app.py

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+from diffusers import DiffusionPipeline
+import gradio as gr
+model_id = "CompVis/ldm-text2im-large-256"
+ldm = DiffusionPipeline.from_pretrained(model_id)
+def generate_image(Prompt):
+images = ldm([Prompt], num_inference_steps=50, eta=.3, guidance_scale=6)
+return images.images[0]
+interface = gr.Interface(fn = generate_image,inputs = "text",outputs = "image",title = "Mashdemy Demo Image Generator App", description = "Type in a text and click submit to generate an image:", examples = ["a clown reading a book", "a cat using a laptop", "An elephant on grass"])
+interface.launch(share = True)