ok

app.py

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+import gradio as gr
+from transformers import pipeline
+
+
+
+model_id = "CompVis/stable-diffusion-v1-4"
+device = "cuda"
+
+
+pipeline  = pipeline(task="TEXT2IMAGE", model=model_id)
+pipeeline = pipeeline(device)
+def predict(prompt):
+  predictions = pipeline(prompt)
+  return {p["label"]: p["score"] for p in predictions}
+
+gr.Interface(
+    predict,
+    inputs=gr.inputs.Label(label='prompt'),
+    outputs=gr.outputs.Image(),
+    title="Image",
+).launch()