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>
* feat(collector): compressed worker -> master result transfer
Workers sent every frame as an uncompressed PNG (compress_level=0),
base64-encoded inside a JSON request, one request per frame. For cloud
workers this makes result download (egress) the dominant transfer cost:
a 121-frame 720p batch is ~446 MB per worker.
Add `transfer_format` / `transfer_quality` optional widgets to
Distributed Collector:
- legacy_png (default): unchanged behaviour
- png, ffv1: lossless, bit-identical master tensors to legacy_png
- jpeg, webp: lossy stills
- h264, h265, av1: lossy video of the whole batch
Compressed results are posted as multipart/form-data chunks (binary, no
base64, ~32 MB soft cap per request, configurable with
COMFYUI_DISTRIBUTED_TRANSFER_CHUNK_BYTES). The master decodes each chunk
off the event loop and enqueues one item per frame, so collection,
ordering and audio handling are unchanged. Encoding also runs in an
executor on the worker.
Compatibility:
- /distributed/job_complete still accepts the legacy JSON envelope.
- A worker talking to an older master gets a 400 on the first chunk and
resends everything as legacy_png.
- Missing video encoders fall back to h264 (lossy) or png (ffv1).
Measured on 121 frames at 1280x720: png 163 MB (2.7x), ffv1 128 MB
(3.5x), h264 q90 2.4 MB (186x, 40.2 dB), av1 q90 0.4 MB.
Also clips IMAGE values before 8-bit quantization on the new path so
out-of-range values no longer wrap around.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0166t8T3CVaxZkJbP2RtSpo6
* fix(collector): wire transfer options through V3 node; bound finalized payload size
Addresses review on #97.
V3 integration
- Add optional `transfer_format` / `transfer_quality` inputs to the
registered nodes/v3.py DistributedCollector schema (legacy defaults) and
accept/forward them in execute() to the runtime helper.
- tests/test_v3_collector_transfer.py checks the registered node's public
schema and argument forwarding without a ComfyUI checkout; the opt-in
real-runtime acceptance (tests/helpers/v3_runtime_check.py) now allows
exactly these appended optional inputs, verifies their contract, and
checks forwarding through the real executor.
Payload size bound
- encode_chunks() enforces limits on finalized bytes (after encoder flush
and muxer finalization). Encoder lookahead kept the pre-flush buffer
near zero, so a chunk could hold the whole batch and finalize far above
the limit. Oversized video chunks are re-encoded with proportionally
fewer frames; the next chunk is sized from observed bytes/frame.
- Multi-frame chunks stay within TRANSFER_MAX_CHUNK_BYTES (32 MiB); a
single frame may use up to TRANSFER_MAX_REQUEST_BYTES (96 MiB, new,
COMFYUI_DISTRIBUTED_TRANSFER_MAX_REQUEST_BYTES) minus envelope reserve.
A frame that cannot fit raises FrameTooLargeError.
- The worker encodes all chunks before sending, so an unfittable frame
fails before anything is delivered (no partial batch on the master).
- Audio rides on the last chunk only when the request stays in bounds;
otherwise it is sent as a final audio-only completion.
- Legacy fallback triggers only on an older master's rejection
("Invalid JSON payload"); other errors, e.g. size limits, raise with a
pointer to the limit settings instead of resending as legacy_png.
- The master returns 413 when a request exceeds --max-upload-size.
Tests: codec flush-overshoot and single-frame cases, worker fallback /
nothing-sent / audio placement, and real aiohttp server tests with
client_max_size covering bounded high-entropy video, 413 reporting, and
unfittable frames.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0166t8T3CVaxZkJbP2RtSpo6
---------
Co-authored-by: ymiyad <ymiyad@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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: migrate distributed nodes to native ComfyUI V3 API
* fix: hide Distributed Value backing fields in Nodes 2.0
Use native widget visibility without converting backing fields into sockets. Preserve widget types, serializers and options identity; cover edits, reload, worker refresh and linked widgets.
* fix: isolate local worker databases and avoid port conflicts
* fix: harden local worker startup preflight and database paths
Handle auto-launch before the master binds, allow TIME_WAIT restarts without accepting active listeners, resolve relative paths in the worker cwd, and round-trip SQLite URLs through SQLAlchemy. Add regressions and remove the README additions.
The interceptor only captured (number, prompt) and dropped the third
options argument. This caused partialExecutionTargets to be lost,
making ComfyUI execute all output nodes instead of just the selected
one when using Execute Selected Output.
Fixes#76
Robert Wojciechowski