Create app.py

app.py

@@ -0,0 +1,15 @@
+from diffusers import DiffusionPipeline
+import gradio as gr
+
+model_id = "CompVis/ldm-text2im-large-256"
+
+# load text input to diffusion pipeline
+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 riding a lion", "a mouse using a laptop"])
+interface.launch(share = True)