Create app.py

app.py

@@ -0,0 +1,16 @@
+from diffusers import StableDiffusionPipeline
+import torch
+import gradio as gr
+def run(prompt):
+  model_id = "runwayml/stable-diffusion-v1-5"
+  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+  pipe = pipe.to("cuda")
+  image = pipe(prompt).images[0]  
+  return image
+
+gr.Interface(
+    run,
+    title = 'Text-To-Image',
+    inputs="text",
+    outputs = "image"
+).launch()