- Injected DynamicSceneDirector node logic at the end of loop.py
- Registered node name in __init__.py
- Removed tests directory and test files to clean up the repository for production
This resolves an issue where the sequential batcher would remember
indexes or completion states from previous disconnected flows due to
leftover global cache when processing dynamic text lists.
A hash-based flow detection was implemented in `loop.py` to identify
fresh runs and decisively reset `global_batch_index` and
`global_is_batch_advancing` to zero, preventing array out-of-bounds
errors or missing the initial phrases of a new prompt.
- Updated SequentialAudioBatchLoader to dynamically evaluate global_has_more_batches rather than statically assigning False.
- Refactored IncrementalVideoStitcher to calculate is_absolute_final only when both the current chunk is complete and there are no more batches in queue.
- Updated return blocks in stitch method to propagate new is_absolute_final logic.
Introduced `SequentialAudioBatchLoader` to `loop.py`, which loads audio files from a directory one-by-one per cycle. It utilizes `extract_and_standardize_audio` from `video.py` to ensure proper formatting (44100Hz, stereo). If the directory is empty or invalid, it falls back to a 0.1-second silent audio tensor while maintaining 0-indexed loop synchronization. This node correctly overrides `loop` module global variables (`global_step_by_chunk`, `global_source_frame_count`, etc.) to control the iteration logic seamlessly. Also added it to `NODE_CLASS_MAPPINGS` in `__init__.py`.
Adds a new boolean output `IS_ABSOLUTE_FINAL` to the `IncrementalVideoStitcher` node.
This determines if the current generation cycle is the very last one across all processed batches, by checking `global_has_more_batches` from `loop.py`. Updates the tuple structures and node signatures to reflect this new return type.
Added `IS_CHANGED` class methods to calculation nodes (`AutoLoopCalculator`, `AutoLoopCalculatorTTS`, `AutoLoopCalculatorWan`, `AutoLoopCalculatorLTX`, `AutoLoopCalculatorTTSBatch`) and `LazySessionCache` to force ComfyUI to re-evaluate them continuously, resolving a false positive cache issue that prevented global Python state variables from updating correctly across batch boundaries.
Replaces `get_index` in `SequentialLoopStart` to keep `global_is_batch_advancing = True`
during the 0th cycle so that downstream nodes (like Telegram Suite) can read
its state correctly. Includes a fail-fast pre-flight check to prevent SSRF vulnerabilities.
The AutoLoopCalculatorTTSBatch node was returning its output variables
wrapped in single-item lists (e.g., `[current_chunk_text]`) instead of as
raw primitive values. This caused downstream nodes expecting raw types
(like standard string replacement or string concatenation nodes) to crash,
since Python lists do not have `.replace()` or `.join()` methods.
The brackets were removed from the `return` statement so the node now properly
outputs the exact primitive values.
The `OUTPUT_IS_LIST = (True, True, True, True, True)` assignment in `AutoLoopCalculatorTTSBatch` was preventing ComfyUI from automatically unwrapping 1-item lists, causing downstream nodes to crash with TypeErrors (expecting raw strings/integers but getting lists). By removing this attribute while keeping `INPUT_IS_LIST = True`, ComfyUI can now safely process inputs as batches while unwrapping and forwarding primitive values to the next nodes.
Restored INPUT_IS_LIST = True to prevent ComfyUI from mapping the node
in parallel when given multiple files, and added OUTPUT_IS_LIST with
five values to properly unpack outputs to the downstream nodes. Also
ensured that the return statement yields a tuple of lists.
- Added `file_names` to INPUT_TYPES and `current_file_name` to RETURN_TYPES.
- Removed `INPUT_IS_LIST = True` to avoid double nesting in ComfyUI list processing.
- Cleaned up temp files (`test_loop_syntax.py`, test `.sh` scripts).
- Verified `BatchTextFileReader` does not exist in the repository.
- Removed `INPUT_IS_LIST = True` to prevent ComfyUI from implicitly converting input values to lists and expecting lists as outputs.
- Refactored `calculate` to handle list inputs natively using `isinstance` while correctly interacting with the standard Text Reader's native Python lists.
- Changed the return signature to emit native primitive values (`str`, `int`) instead of wrapping them in lists, correctly accommodating downstream integration with TTS models (e.g. Fish Speech) that expect pure strings.
ComfyUI's `INPUT_IS_LIST = True` behavior wraps incoming data in a list. When an upstream node (like `BatchTextFileReader`) already returns a list, ComfyUI wraps it again, creating a list of lists (e.g., `[["file1", "file2"]]`).
This patch updates `AutoLoopCalculatorTTSBatch.calculate` to robustly detect and unpack this double-wrapping before extracting the target texts, preventing a downstream `AttributeError` during string manipulation.
- Added global tracking variables (`global_batch_index`, `global_has_more_batches`, `global_is_batch_advancing`) to `loop.py` to maintain batch state
- Updated `SequentialLoopStart` reset logic to prevent loop index reset on automatic batch advances
- Implemented the `AutoLoopCalculatorTTSBatch` node with `INPUT_IS_LIST = True` returning list-wrapped chunks to bypass native ComfyUI parallelization
- Updated `SequentialLoopTrigger` requeue logic to handle batch completion correctly using `reset_loop=True` with `loop_idx=0` when `has_more_batches` is truthy
The `SequentialLoopTrigger` node was mutating seeds with `0xffffffff`, which exceeded the maximum value for a signed 32-bit integer. This caused a validation error in strict nodes like `OllamaOptionsV2` during loop iterations. This commit lowers the maximum generated random seed value to `0x7fffffff` to remain within safe limits.
Replaces the single `urlopen` call with a resilient retry loop (up to 3 attempts, 10s timeout, 1s delay) when checking the ComfyUI server status. Now raises a strict `RuntimeError` if all attempts fail, halting the execution queue and surfacing the error on the UI.
Added input validations (`source_frame_count <= 0` or `target_frames_per_loop <= 0`) to `AutoLoopCalculatorLTX` (in `loop.py`), and `AutoLoopCalculator`, `AutoLoopCalculatorWan` (in `video.py`). When conditions are met, a safe default is returned to prevent math domain errors. Also included a new comprehensive unit test suite in `tests/test_loop_calculator.py`.
Meisoft