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fal_client_flux_text_to_image_with_queue_logging.py
pythonThis quickstart demonstrates how to run a text-to-image model (Flux) using the fal P
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fal_client_flux_text_to_image_with_queue_logging.py
1import fal_client
2
3def on_queue_update(update):
4 if isinstance(update, fal_client.InProgress):
5 for log in update.logs:
6 print(log["message"])
7
8result = fal_client.subscribe(
9 "fal-ai/flux/dev",
10 arguments={
11 "prompt": "A futuristic city at night"
12 },
13 with_logs=True,
14 on_queue_update=on_queue_update,
15)
16
17print(result)