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bce3dbc 3ea399a d65b6b1 bce3dbc d65b6b1 81f5ac0 bce3dbc 81f5ac0 bce3dbc fee06dd 81f5ac0 bce3dbc 81f5ac0 bce3dbc 81f5ac0 bce3dbc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | """Pure functions over LTX 2.3 mode API-format workflow templates.
Templates in `workflows/<mode>.json` are saved from ComfyUI's editor via
"Save (API Format)". Shape: `{node_id_str: {"class_type": str, "inputs": dict}}`.
This is what ComfyUI's `PromptExecutor.execute(prompt=...)` expects directly.
"""
from __future__ import annotations
import copy
import json
import pathlib
from typing import Any
WORKFLOWS_DIR = pathlib.Path(__file__).parent / "workflows"
VALID_MODES: tuple[str, ...] = ("t2v", "a2v", "i2v", "lipsync", "keyframe", "style")
def load_template(mode: str) -> dict[str, Any]:
"""Load a fresh, independent copy of the named mode's API workflow template."""
if mode not in VALID_MODES:
raise ValueError(f"unknown mode {mode!r}; expected one of {VALID_MODES}")
path = WORKFLOWS_DIR / f"{mode}.json"
return copy.deepcopy(json.loads(path.read_text()))
def set_input(workflow: dict[str, Any], node_id: int | str, field: str, value: Any) -> None:
"""Patch a node's input field in place.
For API-format workflows, each node has an `inputs` dict keyed by field name.
`node_id` is the dict key (string for top-level, "<inst>:<inner>" for
subgraph-internal). `field` is an entry name in `inputs`.
Args:
workflow: API-format workflow dict (mapping id → {class_type, inputs}).
node_id: Dict key of the target node.
field: Name of the input field to set.
value: New value (literal, or `[src_id, src_slot]` link form).
Raises:
KeyError: If the node doesn't exist in the workflow.
"""
nid = str(node_id)
if nid not in workflow:
raise KeyError(f"node id {nid!r} not found in workflow")
inputs = workflow[nid].setdefault("inputs", {})
inputs[field] = value
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