Create app.py

app.py

@@ -0,0 +1,11 @@
+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)