Use the existing images/audio Collector for typed serverless pools. Preserve saved legacy_png defaults, map them to serverless png, and retain every transfer format with exact opt-in. Remove the separate Media Collector.
Send direct exact frames through bounded raw tensor multipart transport without 8-bit fallback. Reject incompatible legacy pools, invalid payloads and incomplete exact results. Cover real CPU HTTP round trips, native ComfyUI execution, mixed participant ordering and failure paths.
Preserve source values without extra wires, collect explicit per-item overrides, and expose ordered bundles through Get Value. Keep legacy sockets and no-override transport compatible.
* feat: add Runpod serverless image collector pools
* fix: prevent worker settings clipping and remove preview copy
* fix: initialize worker settings before mounting the form
* fix: validate complete serverless requests against 10 MB limit
* fix: simplify serverless cards and keep status dots circular
* fix: match serverless endpoint box to master card
* fix: preserve serverless capacity and recovery across job failures
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.
* feat: add dynamic per-image list queue with Start and End nodes
* fix(image-list): reject upstream data bypasses around Start
* fix(image-list): make optional End text a connection-only input
* fix(image-list): isolate unavailable workers during preflight
* fix(image-list): bound acknowledgements and configure run deadline
* fix(media-sync): preserve output and temp source roots
* fix(image-list): own job lifecycle and preserve worker preparation
* feat(image-list): let master participate unless orchestrator-only
* feat(image-list)!: replace fixed Start extras with growable value_N slots
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.
* fix(serverless): disable Clear saved API key while the worker is enabled
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.
* feat(serverless): replace Concurrent jobs with a single Images per run setting
- 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.
* feat: add Runpod serverless image collector pools
* fix: prevent worker settings clipping and remove preview copy
* fix: initialize worker settings before mounting the form
* fix: validate complete serverless requests against 10 MB limit
* fix: simplify serverless cards and keep status dots circular
* fix: match serverless endpoint box to master card
* fix: preserve serverless capacity and recovery across job failures
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.
* fix(serverless): disable Clear saved API key while the worker is enabled
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.
* feat(serverless): replace Concurrent jobs with a single Images per run setting
- 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.
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>