nodes/robertvoy-ComfyUI-Distributed
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feat: support audio-only distributed workflows (#87)

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Support image, audio, or combined distributed collection with guarded audio-only worker, master, endpoint, preview, and delegate-only paths.
This commit is contained in:
Robert Wojciechowski
2026-07-12 20:36:43 +10:00
committed by GitHub
parent db01824d6e
commit cedc8d4591
6 changed files with 396 additions and 62 deletions
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api/job_routes.py
+11 -4
View File
@@ -295,17 +295,24 @@ async def job_complete_endpoint(request):
errors.append("worker_id: expected non-empty string")
if not isinstance(batch_idx, int) or batch_idx < 0:
errors.append("batch_idx: expected non-negative integer")
if not isinstance(image_payload, str) or not image_payload.strip():
image_provided = image_payload is not None
audio_provided = audio_payload is not None
if not image_provided and not audio_provided:
errors.append("expected at least one of image or audio")
if image_provided and (not isinstance(image_payload, str) or not image_payload.strip()):
errors.append("image: expected non-empty base64 PNG string")
if audio_payload is not None and not isinstance(audio_payload, dict):
if audio_provided and not isinstance(audio_payload, dict):
errors.append("audio: expected object when provided")
if not isinstance(is_last, bool):
errors.append("is_last: expected boolean")
if errors:
return await handle_api_error(request, errors, 400)
tensor = _decode_canonical_png_tensor(image_payload)
decoded_audio = _decode_audio_payload(audio_payload) if audio_payload is not None else None
try:
tensor = _decode_canonical_png_tensor(image_payload) if image_provided else None
decoded_audio = _decode_audio_payload(audio_payload) if audio_provided else None
except ValueError as exc:
return await handle_api_error(request, exc, 400)
multi_job_id = job_id.strip()
worker_id = worker_id.strip()
api/orchestration/prompt_transform.py
+31 -10
View File
@@ -351,16 +351,33 @@ def prune_prompt_for_worker(prompt_obj):
downstream = _find_downstream_nodes(prompt_obj, [dist_id])
has_removed_downstream = any(node_id != dist_id for node_id in downstream)
if has_removed_downstream:
preview_id = next_id()
pruned_prompt[preview_id] = {
"inputs": {
"images": [dist_id, 0],
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image (auto-added)",
},
}
original_node = prompt_obj.get(str(dist_id), {})
class_type = original_node.get("class_type")
inputs = original_node.get("inputs", {})
image_connected = class_type != "DistributedCollector" or (
isinstance(inputs.get("images"), list)
and len(inputs["images"]) == 2
)
audio_connected = (
class_type == "DistributedCollector"
and isinstance(inputs.get("audio"), list)
and len(inputs["audio"]) == 2
)
if image_connected:
preview_id = next_id()
pruned_prompt[preview_id] = {
"inputs": {"images": [dist_id, 0]},
"class_type": "PreviewImage",
"_meta": {"title": "Preview Image (auto-added)"},
}
elif audio_connected:
preview_id = next_id()
pruned_prompt[preview_id] = {
"inputs": {"audio": [dist_id, 1]},
"class_type": "PreviewAudio",
"_meta": {"title": "Preview Audio (auto-added)"},
}
return pruned_prompt
@@ -400,6 +417,10 @@ def prepare_delegate_master_prompt(prompt_obj, collector_ids):
collector_entry = pruned_prompt.get(collector_id)
if not collector_entry:
continue
original_inputs = (prompt_obj.get(collector_id) or {}).get("inputs", {})
original_images = original_inputs.get("images")
if not (isinstance(original_images, list) and len(original_images) == 2):
continue
placeholder_id = next_id()
pruned_prompt[placeholder_id] = {
"class_type": "DistributedEmptyImage",