Commit Graph
10 Commits
Author SHA1 Message Date
Robert Wojciechowski 7ed60b93ca feat: dynamically distribute image lists across direct workers (#98)
* 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.
2026-10-13 15:20:05 -07:00
Robert Wojciechowski 6b94242110 feat: add Runpod serverless image Collector pools (#96)
* 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.
2026-10-13 15:19:00 -07:00
40678a51c4 feat(worker): terminate pruned worker prompts with a hidden no-op sink (#99)
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>
2026-10-14 07:27:19 +11:00
Robert Wojciechowski 41f9e44945 fix: return native prompt queue metadata 2026-04-07 23:19:37 +00:00
Robert Wojciechowski c8453a139b Use loopback callback URLs for local workers 2026-04-04 00:15:00 +00:00
Robert Wojciechowski b95675d1ff Move load balancing to collector/orchestrator and remove queue node 2026-02-28 04:53:20 +00:00
Robert Wojciechowski 04169ac651 fix: correct divider chunking and improve distributed validation/audio transport 2026-02-28 04:53:20 +00:00
Robert Wojciechowski 5eacd17aeb refactor: implement REFACTOR_PLAN_2 across distributed stack 2026-02-24 01:38:41 +00:00
Robert Wojciechowski f0fe702f80 Commit all current refactor changes 2026-02-23 23:47:23 +00:00
Robert Wojciechowski 7f24cb0c7a Refactor distributed orchestration and frontend modules 2026-02-23 11:11:40 +00:00