Create app.py

app.py

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+from transformers.utils import move_cache
+move_cache()
+
+from diffusers import StableDiffusionPipeline
+import torch
+import gradio as gr
+
+get_completion = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
+
+
+def texttoImage(input):
+    output = get_completion(input)
+    return output.images[0]
+
+demo = gr.Interface(fn=texttoImage,
+                    inputs=[gr.Textbox(label="Your prompt")],
+                    outputs=[gr.Image(label="Result")],
+                    title="Image Generation with Stable Diffusion",
+                    description="Generate any image with Stable Diffusion",
+                    allow_flagging="never",
+                    examples=["the spirit of a tamagotchi wandering in the city of Vienna",
+                              "a mecha robot in a favela"])
+
+demo.launch()