app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "stabilityai/stable-diffusion-2-1"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda")
+
+def generate(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+demo = gr.Interface(fn=generate, inputs="text", outputs="image")
+
+demo.launch()