Resolve api/queue_orchestration.py, nodes/v3.py and
tests/helpers/v3_runtime_check.py to keep both the worker sink (#99)
and the image-list nodes. Stub nodes.image_list in the V3 collector
transfer test.
Resolve nodes/collector.py: keep the serverless manager accessor and
main's compressed result transfer. Update test stubs for the merged
code: fetch_worker_has_node (#99) in the serverless integration test,
and the real aiohttp.web in the transfer integration test.
- Remove the separate Concurrent jobs field; rename Jobs per run to
Images per run (1-16) with a tooltip explaining that Runpod's max
workers decides how many GPUs run them.
- Backend uses a fixed per-worker limit of 16 outstanding jobs, so all
images of a run are submitted at once. Unresolved jobs still count
against it. The limit is constant, so it never has to change while
jobs are unresolved.
- Legacy 'concurrency' in saved configs and older browser tabs is
accepted and ignored/dropped; it no longer triggers the busy guard.
- Revert the enable toggle and show the reason when the backend rejects it.
- Trim a pasted api.runpod.ai/v2/<id> URL to the endpoint ID; plainer
endpoint-ID error otherwise.
- Confirm before a type change deletes a saved Runpod API key.
- Update docs and tests.
The checkbox read "Clear saved API key (disable pool first)", but the
panel never defines "pool" and saving with it ticked on an enabled worker
was rejected by the backend.
- Disable the checkbox while the worker is enabled, with a tooltip saying
to turn the worker off first. Also disable it when no key is saved.
- Use "worker" instead of "pool" in user-facing serverless errors, the
serverless guide and the README entry.
Worker prompts drop everything downstream of DistributedCollector /
UltimateSDUpscaleDistributed, so the master re-added a PreviewImage
(or PreviewAudio) to give ComfyUI an output node. That preview wrote
every result frame as a PNG into the worker's temp directory: for a
362-frame 1344x768 video, ~2 GB per run (RAM when temp is on tmpfs)
plus CPU time spent PNG-encoding frames nobody looks at.
- Add DistributedWorkerSink: an output node that discards its input.
It is is_dev_only, so it stays out of node search and menus.
- The master probes each worker with GET /object_info/DistributedWorkerSink
while preparing its prompt and uses the sink when it is registered.
Workers on older versions (or a failed probe) keep the PreviewImage /
PreviewAudio terminator, so mixed versions keep working.
Verified with a real master plus one updated and one old worker:
the updated worker ran EmptyImage -> Collector -> Sink and left its
temp directory empty; the old worker still received PreviewImage.
Claude-Session: https://claude.ai/code/session_0166t8T3CVaxZkJbP2RtSpo6
Co-authored-by: ymiyad <cab-13-might@icloud.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Distributed Image List Start no longer has reference_image, text,
strength, seed or per-slot mode dropdowns. It now takes images, mask and
up to 10 generic value_N inputs (IMAGE, MASK, STRING, INT, FLOAT,
BOOLEAN) that grow via native V3 Autogrow, each with a matching output.
- One value is shared by every image; one per image pairs in order; any
other count fails before dispatch. Only images is split into frames.
- Outputs are declared up front (image, mask, item_index, context,
value_1..value_10). web/imageListStart.js hides unused value outputs,
mirrors input types, and follows Autogrow compaction so downstream
links keep their value.
- Image-list protocol bumped to v2; older workers fail preflight.
Breaking: saved workflows using the old Start inputs must recreate Start.
Retain durable reservations until provider termination or explicit recovery, protect unresolved pools and credentials, and add scoped reconciliation. Consolidate lifecycle and secret policies and split prompt/media stages with regression coverage.
Robert Wojciechowski