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This module is deliberately independent from ComfyUI, PyTorch, and the node
implementations. It freezes the vocabulary and compatibility translations
before runtime nodes start consuming the new contracts.
"""
from __future__ import annotations
from typing import Any
SOURCE_TIMELINE_VERSION = "h3_source_timeline_v1"
AUDIO_POLICY_VERSION = "h3_audio_policy_v1"
TRANSITION_POLICY_VERSION = "h3_transition_policy_v1"
CHAIN_POLICY_VERSION = "h3_chain_policy_v1"
LIP_SYNC_OPTIONS_VERSION = "h3_lip_sync_options_v1"
SCENE_DEPENDENCY_VERSION = "h3_scene_dependency_v1"
PREFLIGHT_VERSION = "h3_preflight_v1"
FINAL_AUDIO_POLICIES = ("generated", "source", "none")
SOURCE_REFERENCE_POLICIES = ("off", "on")
GENERATED_CONTINUITY_POLICIES = ("off", "on")
SOURCE_AUDIO_TARGET_POLICIES = ("off", "locked")
PAIRED_AUDIO_POLICIES = ("off", "embedded")
PRIMARY_TRANSITION_PRESETS = ("cut", "guide", "hard_av", "soft_av")
GENERATION_SCENE_PROFILES = {
"Visual continuity": "guide",
"Independent scenes": "cut",
"Hard picture + protected audio": "hard_av",
"Hard picture + smooth audio": "soft_av",
}
GENERATION_AUDIO_PROFILES = {
"Generate audio": ("generated", "off", "on", False),
"Generate fresh audio per scene": ("generated", "off", "off", False),
"Lip-sync to source audio": ("source", "off", "off", True),
"Generate audio from source guide": ("generated", "on", "off", False),
"Use source soundtrack only": ("source", "off", "off", False),
"No final audio": ("none", "off", "off", False),
}
ADVANCED_TRANSITION_PRESETS = (
"cut", "guide", "tone_guide", "latent_guide", "detail_guide",
"detail_av", "drift_av", "color_drift_av", "hard_av", "soft_av",
)
DEFAULT_AUDIO_CONTEXT_LENGTH = 22
CONTEXT_SPATIAL_PROXY_MODES = ("off", "rgb_5_6", "latent_5_6")
CONTINUATION_POLICIES = (
"guide", "tone_carry_guide", "latent_guide", "tapered_guide",
"masked_av", "tapered_av", "feathered_av", "audio_feathered_av",
"drift_control_av", "color_stable_drift_av")
TRANSITION_CONTEXT_LENGTHS = (
0, 1, 5, 22, 39, 56, 73, 90, 107, 124,
141, 158, 175, 192, 209, 226, 243,
)
AV_TRANSITION_CONTEXT_LENGTHS = (39, 90, 141, 192, 243)
VIDEO_ONLY_AV_TRANSITION_CONTEXT_LENGTHS = tuple(
value for value in TRANSITION_CONTEXT_LENGTHS if value >= 5
)
# Experimental one-shot latent-context recipe adapted from beijinren's
# ComfyUI-H3-Context-Noise. Keep every generation-significant value in the
# scene dependency contract so changing the recipe cannot silently resume a
# scene rendered with an older taper.
DETAIL_AV_RECIPE = {
"version": "h3_detail_av_latent_taper_v2",
"context_frames": 39,
"video_steps": 12,
"alpha": 0.30,
"alpha_end": 0.00,
"ramp_steps": 4,
"noise_scale": "match_latent_std",
"seed_xor": 0xD37A11,
}
# Experimental recursive AV treatment. Unlike Detail AV, this does not bake
# static noise into the copied predecessor. At each model evaluation it uses
# the sampler's existing noise field and advances the video prefix to the next
# scheduler sigma. The oldest eight of the 12 carried video steps receive the
# complete matched-noise ratio; the newest four taper .75/.50/.25/.00 so the
# generated-future boundary remains exact. Audio retains the selected Audio
# Policy's normal hard/open mask.
DRIFT_CONTROL_AV_RECIPE = {
"version": "h3_drift_control_av_v1",
"context_frames": 39,
"video_steps": 12,
"matched_steps": 8,
"taper_steps": 4,
"sigma_rule": "next_schedule_sigma_over_current_sigma",
"mask_quantization": 256,
"audio": "unchanged_policy_mask",
"validated_steps": 20,
}
# Optional scene-one color anchor layered onto Drift-Control AV. Only the
# disposable copied video prefix is touched. Two encodes isolate the desired
# RGB change from ordinary VAE reconstruction error:
# E(graded decode) - E(original decode). The low-frequency delta fades from
# zero at the old overlap edge to full strength beside the generated future.
# Saved predecessor video/audio latents and the complete audio path remain
# immutable.
LATENT_COLOR_CARRY_RECIPE = {
"version": "h3_latent_color_delta_v1",
"context_frames": 39,
"video_steps": 12,
"anchor": "first_generated_scene_delivered_tail",
"source": "current_predecessor_delivered_tail",
"strength": 0.50,
"max_luma_shift_code_values": 6.0,
"max_saturation_change": 0.06,
"spatial_lowpass_kernel": 3,
"temporal_taper": "full_prefix_smoothstep_zero_to_one",
"delta_rule": "E(graded_D(z))-E(D(z))",
"audio": "unchanged",
}
# Boundary-only low-grid experiment reconstructed from a mixed-resolution
# chain: a 1376x768 target carried a predecessor generated at 1152x640. The
# Guide recipe spatially reduces the complete saved predecessor video latent,
# decodes that disposable 5/6 latent at its native 1152x640 canvas, then lets
# Motion Context restore only the requested RGB tail to the target canvas.
# This deliberately keeps the nonlinear low-grid VAE decode that a simple RGB
# resize cannot reproduce. AV keeps its cheaper latent down/up prefix filter.
# Generated scenes and checkpoint/assembly artifacts keep the Plan canvas.
CONTEXT_SPATIAL_PROXY_RECIPE = {
"version": "h3_context_spatial_proxy_v2",
"scale_numerator": 5,
"scale_denominator": 6,
"pixel_alignment": 32,
"guide_source": "saved_predecessor_video_latent",
"guide_latent_downsample": "area",
"guide_decode": "full_low_grid_stream",
"guide_tail": "delivered_frames",
"guide_restore": "motion_context_lanczos",
"latent_downsample": "area",
"latent_restore": "bilinear",
"preserve_latent_statistics": False,
}
LEGACY_AUDIO_MODE_POLICIES = {
"source_track": {
"final_audio": "source",
"source_reference": "on",
"generated_continuity": "off",
},
"generated_audio": {
"final_audio": "generated",
"source_reference": "off",
"generated_continuity": "on",
},
"source_plus_timeline": {
"final_audio": "source",
"source_reference": "on",
"generated_continuity": "on",
},
}
TRANSITION_PRESETS = {
"cut": {
"continuation_mode": "guide",
"context_length": 0,
"label": "Cut / Independent",
},
"guide": {
"continuation_mode": "guide",
"context_length": 22,
"label": "Guided transition",
},
"tone_guide": {
"continuation_mode": "tone_carry_guide",
"context_length": 22,
"label": "Tone-carry guided transition",
},
"latent_guide": {
"continuation_mode": "latent_guide",
"context_length": 22,
"label": "Latent-guided transition",
},
"detail_guide": {
"continuation_mode": "tapered_guide",
"context_length": 22,
"label": "Detail-preserving guided transition",
},
"detail_av": {
"continuation_mode": "tapered_av",
"context_length": 39,
"label": "Detail-preserving AV continuation (experimental)",
},
"drift_av": {
"continuation_mode": "drift_control_av",
"context_length": 39,
"label": "Drift-Control AV continuation (experimental)",
},
"color_drift_av": {
"continuation_mode": "color_stable_drift_av",
"context_length": 39,
"label": "Color-Stable Drift AV continuation (experimental)",
},
"hard_av": {
"continuation_mode": "masked_av",
"context_length": 39,
"label": "Hard continuation",
},
"soft_av": {
"continuation_mode": "audio_feathered_av",
"context_length": 39,
"label": "Soft continuation (hard picture, soft audio)",
},
"audio_feather_av": {
"continuation_mode": "audio_feathered_av",
"context_length": 39,
"label": "Audio-feathered continuation (legacy alias)",
},
}
DEPENDENCY_SCOPES = (
"global_generation",
"scene_generation",
"incoming_boundary",
"assembly_only",
)
def migrate_legacy_audio_mode(mode: str) -> dict[str, str]:
"""Return a new independent audio-policy record for a 0.4 mode."""
try:
policy = LEGACY_AUDIO_MODE_POLICIES[str(mode)]
except KeyError as exc:
raise ValueError("Unknown legacy H3 audio mode %r." % mode) from exc
return {"version": AUDIO_POLICY_VERSION, **policy}
def migrate_continuation_mode(mode: str) -> str:
"""Map retired experimental implementations to a supported mode."""
value = str(mode)
if value == "feathered_av_rgb":
return "feathered_av"
return value
def audio_policy(
final_audio: str,
source_reference: str,
generated_continuity: str,
source_audio_target: str | bool = "off",
lip_sync_options: dict[str, Any] | None = None,
) -> dict[str, Any]:
"""Validate and return one independent 0.5 audio-policy record."""
final = str(final_audio)
source = str(source_reference)
continuity = str(generated_continuity)
if isinstance(source_audio_target, bool):
target = "locked" if source_audio_target else "off"
else:
target = str(source_audio_target or "off").strip().lower()
if final not in FINAL_AUDIO_POLICIES:
raise ValueError("Unknown H3 final-audio policy %r." % final_audio)
if source not in SOURCE_REFERENCE_POLICIES:
raise ValueError(
"Unknown H3 source-reference policy %r." % source_reference)
if continuity not in GENERATED_CONTINUITY_POLICIES:
raise ValueError(
"Unknown H3 generated-continuity policy %r." %
generated_continuity)
if target not in SOURCE_AUDIO_TARGET_POLICIES:
raise ValueError(
"Unknown H3 source-audio-target policy %r." %
source_audio_target)
# A clean source waveform occupying the complete target audio latent is
# already the strongest possible audio condition. Keeping a separate
# Ref2VA audio bank or a predecessor audio prefix would describe competing
# clocks, so the compact switch resolves both axes off canonically.
if target == "locked":
source = "off"
continuity = "off"
policy = {
"version": AUDIO_POLICY_VERSION,
"final_audio": final,
"source_reference": source,
"generated_continuity": continuity,
}
# Preserve the byte-for-byte v1 spelling for existing workflows and
# checkpoints when the new opt-in behavior is disabled.
if target != "off":
policy["source_audio_target"] = target
if target == "locked" and lip_sync_options is not None:
policy["lip_sync_options"] = masked_song_options(lip_sync_options)
return policy
def masked_song_options(
value: dict[str, Any] | None = None,
*,
preroll_seconds: float = 1.0,
lookahead_seconds: float = 0.2,
audio_denoise: float = 0.0,
gap_denoise: float = 0.15,
gate_hold_seconds: float = 0.2,
voice_fingerprint: str = "",
) -> dict[str, Any]:
"""Validate the optional contextual song-latent recipe.
The record is stored only for target-locked source audio. Its absence is
the stable spelling of the pre-feature hard-cut/full-freeze behavior.
"""
if value is not None:
if not isinstance(value, dict):
raise ValueError(
"H3 lip-sync options must come from MiniMax H3 Lip-Sync "
"Options.")
if value.get("version") != LIP_SYNC_OPTIONS_VERSION:
raise ValueError("H3 lip-sync options version is missing or obsolete.")
preroll_seconds = value.get("preroll_seconds", preroll_seconds)
lookahead_seconds = value.get("lookahead_seconds", lookahead_seconds)
audio_denoise = value.get("audio_denoise", audio_denoise)
gap_denoise = value.get("gap_denoise", gap_denoise)
gate_hold_seconds = value.get(
"gate_hold_seconds", gate_hold_seconds)
voice_fingerprint = value.get(
"voice_fingerprint", voice_fingerprint)
def bounded(name: str, raw: Any, low: float, high: float) -> float:
if isinstance(raw, bool):
raise ValueError("H3 lip-sync %s must be a number." % name)
try:
resolved = float(raw)
except (TypeError, ValueError) as exc:
raise ValueError(
"H3 lip-sync %s must be a number." % name) from exc
if resolved < low or resolved > high:
raise ValueError(
"H3 lip-sync %s must be between %.3g and %.3g." %
(name, low, high))
return resolved
resolved = {
"version": LIP_SYNC_OPTIONS_VERSION,
"preroll_seconds": bounded(
"pre-roll", preroll_seconds, 0.0, 4.0),
"lookahead_seconds": bounded(
"lookahead", lookahead_seconds, 0.0, 2.0),
"audio_denoise": bounded(
"sung-region denoise", audio_denoise, 0.0, 1.0),
"gap_denoise": bounded(
"gap denoise", gap_denoise, 0.0, 1.0),
"gate_hold_seconds": bounded(
"voice-gate hold", gate_hold_seconds, 0.0, 2.0),
}
fingerprint = str(voice_fingerprint or "").strip().lower()
if fingerprint:
if (len(fingerprint) != 64 or any(
character not in "0123456789abcdef"
for character in fingerprint)):
raise ValueError(
"H3 lip-sync voice fingerprint must be a SHA-256 hex digest.")
resolved["voice_fingerprint"] = fingerprint
return resolved
def compose_chain_policy(
audio: dict[str, Any],
transition: dict[str, Any],
*,
audio_context_length: int = DEFAULT_AUDIO_CONTEXT_LENGTH,
) -> dict[str, Any]:
"""Combine validated 0.5 policies without changing their stored shape.
Plan consumes the two canonical child records and the legacy-compatible
audio-context value, then persists behavior-only compatibility fields.
This keeps checkpoint hashes independent of workflow topology.
"""
if not isinstance(audio, dict) or audio.get("version") != AUDIO_POLICY_VERSION:
raise ValueError("H3 Chain Policy requires a current Audio Policy.")
resolved_audio = audio_policy(
audio.get("final_audio"), audio.get("source_reference"),
audio.get("generated_continuity"),
audio.get("source_audio_target", "off"),
audio.get("lip_sync_options"))
if (not isinstance(transition, dict) or
transition.get("version") != TRANSITION_POLICY_VERSION):
raise ValueError("H3 Chain Policy requires a current Transition Policy.")
resolved_transition = transition_policy(
transition.get("preset"),
expert_override=bool(transition.get("expert_override", False)),
continuation_mode=transition.get("continuation_mode"),
context_length=transition.get("context_length"))
if isinstance(audio_context_length, bool):
raise ValueError(
"H3 Chain Policy audio context must be between 0 and 240 frames.")
try:
resolved_audio_context = int(audio_context_length)
except (TypeError, ValueError) as exc:
raise ValueError(
"H3 Chain Policy audio context must be between 0 and 240 frames."
) from exc
if resolved_audio_context < 0 or resolved_audio_context > 240:
raise ValueError(
"H3 Chain Policy audio context must be between 0 and 240 frames.")
mode = str(resolved_transition["continuation_mode"])
context = int(resolved_transition["context_length"])
carries_generated_audio = (
resolved_audio["generated_continuity"] == "on"
and resolved_audio.get("source_audio_target", "off") != "locked"
and resolved_audio_context > 0
)
if (mode in (
"masked_av", "feathered_av", "audio_feathered_av"
) and context > 0 and carries_generated_audio
and context not in AV_TRANSITION_CONTEXT_LENGTHS):
raise ValueError(
"H3 AV generated-audio continuity requires an exact shared "
"video/audio boundary: 39, 90, 141, 192, or 243 context "
"frames. Set generated continuity off (or audio context to 0) "
"to test a video-only AV window from 5 frames.")
return {
"version": CHAIN_POLICY_VERSION,
"audio_policy": resolved_audio,
"transition_policy": resolved_transition,
"audio_context_length": resolved_audio_context,
}
def chain_policy(
incoming_transition: str,
final_audio: str,
source_reference: str,
generated_continuity: str,
lock_source_audio: bool = False,
lip_sync_options: dict[str, Any] | None = None,
) -> dict[str, Any]:
"""Build the compact normal-user policy from its semantic choices."""
preset = str(incoming_transition)
if preset not in PRIMARY_TRANSITION_PRESETS:
raise ValueError(
"H3 Chain Policy incoming transition must be one of %s." %
(PRIMARY_TRANSITION_PRESETS,))
resolved_transition = transition_policy(preset)
return compose_chain_policy(
audio_policy(
final_audio, source_reference, generated_continuity,
"locked" if bool(lock_source_audio) else "off",
lip_sync_options),
resolved_transition,
# Normal authoring keeps picture and generated-audio carry on the
# same tested boundary. The Advanced Policy keeps that semantic
# pairing for experimental recipes; independent numeric values remain
# available only through the 0.4 Legacy Policy Adapter.
audio_context_length=resolved_transition["context_length"])
def paired_audio_policy(value: str | bool) -> str:
"""Normalize a reference-local paired-audio choice or legacy boolean."""
if isinstance(value, bool):
return "embedded" if value else "off"
normalized = str(value).strip().lower()
if normalized not in PAIRED_AUDIO_POLICIES:
raise ValueError("Unknown H3 paired-audio policy %r." % value)
return normalized
def transition_preset(name: str) -> dict[str, Any]:
"""Return an isolated resolved transition preset."""
try:
preset = TRANSITION_PRESETS[str(name)]
except KeyError as exc:
raise ValueError("Unknown H3 transition preset %r." % name) from exc
return {"version": TRANSITION_POLICY_VERSION, "preset": str(name), **preset}
def transition_policy(
preset: str,
*,
expert_override: bool = False,
continuation_mode: str | None = None,
context_length: int | None = None,
) -> dict[str, Any]:
"""Resolve a semantic preset and optional explicit low-level override."""
resolved = transition_preset(preset)
expert = bool(expert_override)
if expert:
mode = migrate_continuation_mode(continuation_mode)
if mode not in CONTINUATION_POLICIES:
raise ValueError(
"Unknown H3 continuation implementation %r." %
continuation_mode)
try:
context = int(context_length)
except (TypeError, ValueError) as exc:
raise ValueError(
"H3 transition context must be 0 or one of %s." %
(TRANSITION_CONTEXT_LENGTHS,)) from exc
if context not in TRANSITION_CONTEXT_LENGTHS:
raise ValueError(
"H3 transition context must be 0 or one of %s." %
(TRANSITION_CONTEXT_LENGTHS,))
if mode == "latent_guide" and 0 < context < 5:
raise ValueError(
"H3 Latent Guide requires at least 5 context frames.")
if (mode in (
"masked_av", "feathered_av", "audio_feathered_av"
) and context > 0
and context not in VIDEO_ONLY_AV_TRANSITION_CONTEXT_LENGTHS):
raise ValueError(
"H3 video-only AV transition experiments require at least "
"5 context frames (or 0 to disable continuation). Exact "
"39/90/141/192/243-frame alignment is still required when "
"generated predecessor audio is carried.")
if (mode == "tapered_av" and context not in (
0, int(DETAIL_AV_RECIPE["context_frames"]))):
raise ValueError(
"H3 Detail AV currently requires exactly 39 context frames "
"(or 0 to disable continuation).")
if (mode in ("drift_control_av", "color_stable_drift_av")
and context not in (
0, int(DRIFT_CONTROL_AV_RECIPE["context_frames"]))):
raise ValueError(
"H3 Drift-Control AV and Color-Stable Drift AV currently "
"require exactly 39 context frames (or 0 to disable "
"continuation).")
resolved["continuation_mode"] = mode
resolved["context_length"] = context
resolved["expert_override"] = expert
return resolved
def source_timeline_shape() -> dict[str, Any]:
"""Document the required serializable shape without creating media state."""
return {
"version": SOURCE_TIMELINE_VERSION,
"video": {
"path": "absolute host path or empty",
"stream_index": 0,
"native_fps": "positive rational",
"start_pts_seconds": "number",
"duration_seconds": "positive number",
"frame_count_24fps": "non-negative integer",
},
"audio": {
"kind": "embedded | external_path | deferred_tensor | none",
"path": "absolute host path or empty",
"stream_index": "non-negative integer or null",
"sample_rate": "positive integer or null",
"duration_seconds": "non-negative number",
},
"origin": {
"skip_native_frames": "non-negative integer",
"skip_seconds": "non-negative number",
},
"fingerprints": {
"video": "sha256 or empty",
"audio": "sha256 or empty",
"timeline": "sha256",
},
"recovery": {
"original_available": "boolean",
"archived_path": "absolute host path or empty",
"run_owned_audio_path": "absolute host path or empty",
},
}
def scene_dependency_shape() -> dict[str, Any]:
"""Document the versioned, four-scope checkpoint dependency record."""
return {
"version": SCENE_DEPENDENCY_VERSION,
"scene": "one-based integer",
"scopes": {scope: "JSON-safe field map" for scope in DEPENDENCY_SCOPES},
"fingerprints": {scope: "sha256" for scope in DEPENDENCY_SCOPES},
"generation_hash": "sha256 of scopes except assembly_only",
}
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