calesthio/OpenMontage · error · RuntimeError
Seedream task timed out after {300}s
Error message
Seedream task timed out after {300}s What it means
Raised when the Seedream status loop accumulates 300 seconds (polling every 10s) without reaching COMPLETED, FAILED, or CANCELLED. The task stays IN_PROGRESS/QUEUED past the hard-coded 5-minute budget, so the tool gives up client-side even though the task may still finish server-side.
Source
Thrown at tools/graphics/seedream_image.py:222
status_url,
headers=headers,
timeout=30,
)
status_resp.raise_for_status()
status_data = status_resp.json()
status = status_data.get("status")
if status == "COMPLETED":
break
elif status in ("FAILED", "CANCELLED"):
error_msg = status_data.get("error", "Unknown error")
raise RuntimeError(f"Seedream task {status}: {error_msg}")
time.sleep(10)
elapsed += 10
if elapsed >= 300:
raise RuntimeError(
f"Seedream task timed out after {300}s"
)
result_resp = requests.get(
f"https://queue.fal.run/bytedance/seedream/requests/"
f"{request_id}",
headers=headers,
timeout=30,
)
result_resp.raise_for_status()
result_data = result_resp.json()
images = result_data.get("images", [])
if not images:
raise RuntimeError("Seedream completed but no images returned")
ext = inputs.get("output_format", "jpeg")
expected_paths = self._output_paths(View on GitHub (pinned to 95e1c3d0ab)
Solutions
- Retry — the task often completes server-side; check the fal dashboard by request_id before resubmitting to avoid paying twice
- Reduce work per request (fewer images, lower resolution)
- Raise the 300s budget in seedream_image.py if long queues are normal for you
- Stagger batch submissions to avoid self-inflicted queueing
Example fix
// before
while elapsed < 300:
// after
budget = float(inputs.get("timeout", 300))
while elapsed < budget: Defensive patterns
Strategy: retry
Validate before calling
null
Try / catch
try:
return seedream_run(inputs)
except RuntimeError as e:
if "timed out" in str(e):
# task may still finish server-side: check status by request_id
# before resubmitting (avoid double billing)
return check_or_resubmit_last_request() Prevention
- Raise the 300s budget or expose it as an input for long jobs
- Reduce images/resolution per request to cut queue+render time
- Stagger batches; poll the fal dashboard by request_id before resubmitting
When it happens
Trigger: High queue load on fal.run; very large image counts or max-resolution requests; polling started right after a cold model start. Note the budget is fixed (300s), not derived from a timeout input.
Common situations: Peak-hour queues; batch jobs submitting many Seedream tasks at once; long generation settings (multiple images at 2K+).
Understand the failure class
- Timeouts: ETIMEDOUT, deadlines, and hung requests — what actually expires when a request times out.
Related errors
- Kling Classic task {task_id} timed out after {timeout_second
- Kling Turbo task {task_id} timed out after {timeout_seconds}
- DashScope ASR task {task_id} did not finish within {timeout_
- Prediction {prediction_id} did not finish within {timeout:.0
- Suno generation timed out after {self._MAX_WAIT}s (taskId: {
AI-assisted analysis of calesthio/OpenMontage@95e1c3d0ab (2026-08-15).
Data as JSON: /api/errors/5933df7b6d5a263b.
Report an issue: GitHub.