Create app.py

app.py

@@ -0,0 +1,13 @@
+from diffusers import AutoPipelineForText2Image
+import torch
+
+def generateImage(text):
+    pipeline = AutoPipelineForText2Image.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16, variant="fp16")
+    #pipeline.to("cuda")
+    image = pipeline(text)
+    return image.images[0]
+
+
+gr.Interface(fn=generateImage, 
+             inputs='textbox', 
+             outputs='image').launch();