File size: 31,162 Bytes
e488ce7 | 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 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 | """H3 Window Loop — rolling-window regeneration as ONE node that iterates.
The "fat node" variant. It takes the whole regeneration chain's ingredients
(MODEL, CONDITIONING, VAE, audio VAE, SAMPLER, SIGMAS, seed) and runs the
chain once per window internally:
plan -> [ crop -> pin -> smear -> (scale) -> encode -> v2v init ->
sample -> decode -> exact recover -> audio recover -> trim ->
splice ] x N -> world
It reimplements what SamplerCustomAdvanced does for you. That is the point of
this shape and also its price; see agent-window-fat.md in the ops repo for the
measured consequences (progress, interrupt, extensibility, VRAM).
Nothing here edits motion.py: every pipeline stage is the shipped class or
helper, imported and called. The only new logic is the PLANNER and the SEAM
POLICY, which are pure functions at the top of the file so they can be
exercised without a model.
Seam policy (shared with the other two window-driver variants so the
comparison is fair):
* budget is counted in DILATED frames, not world frames;
* window boundaries snap to cold cuts (hold == 1 on both sides) and to
token boundaries;
* a boundary never lands inside a ramp shoulder;
* a hot cut (boundary forced inside a burst) gets pin-and-trim, never a
crossfade: the next window regenerates an overlap that is seeded from the
already-recovered world, uses it as context, then throws it away, leaving
a hard cut at a pinned frame;
* hot-cut handles inherit the world hold value, so both sides of the seam
are repaired at the same temporal rate;
* hot-cut audio is a hard cut placed at the local RMS minimum near the
nominal boundary.
"""
import json
import logging
import math
import torch
try: # normal import, as a package member
from .motion import (COST_EXP, H3AudioRecover, H3ExactRecover,
H3SegmentSplice, H3TimeSmear, H3V2VInit, _legal_ceil,
_tok_start_frame, _token_count, _torchaudio)
except ImportError: # standalone (test harness) import
from motion import (COST_EXP, H3AudioRecover, H3ExactRecover,
H3SegmentSplice, H3TimeSmear, H3V2VInit, _legal_ceil,
_tok_start_frame, _token_count, _torchaudio)
log = logging.getLogger(__name__)
# --------------------------------------------------------------------------
# planner: pure, no torch, no comfy. Exercised offline in the report harness.
# --------------------------------------------------------------------------
def _bursts(holds):
"""Maximal runs of held (hold > 1) frames, as inclusive (start, end)."""
out, s = [], None
for f, h in enumerate(holds):
if h > 1 and s is None:
s = f
elif h <= 1 and s is not None:
out.append((s, f - 1))
s = None
if s is not None:
out.append((s, len(holds) - 1))
return out
def _token_starts(n):
"""Frame indices that begin a latent token, within a clip of n frames."""
out, t = [], 0
while True:
f = _tok_start_frame(t)
if f >= n:
return out
out.append(f)
t += 1
def _seg_hold_list(holds, a, b, p, q, hot_in, hot_out):
"""Per-frame holds for the cropped window.
Inside the held span the world holds are used verbatim. A COLD handle is
forced to 1 (real-time baseline context, exactly what H3SegmentCrop
ships). A HOT handle inherits the world hold value instead, so the frames
either side of the seam are repaired at the same temporal rate — without
this the window regenerates the seam region at real time, which is the
roping the pass exists to remove.
"""
out = []
for f in range(a, b + 1):
if p <= f <= q:
out.append(holds[f])
elif f < p and hot_in:
out.append(holds[f])
elif f > q and hot_out:
out.append(holds[f])
else:
out.append(1)
return out
def _grow_to_grid(holds, a, b, p, q, hot_in, hot_out, n):
"""Land sum(holds) exactly on the 17k+5 grid by growing a COLD handle.
H3TimeSmear absorbs the grid remainder into the FINAL hold
(`holds[-1] += target - sum(holds)`), which on an interior window parks a
multi-frame freeze mid-clip. Handle frames are hold 1, so each extra
handle frame contributes exactly 1 and the sum can be walked onto the
grid instead. Growth only eats frames whose WORLD hold is 1, so a grown
handle stays genuinely cold and never steals a neighbouring burst.
_legal_ceil is unchanged by the growth (it only fills the pad), so the
dilated cost does not move.
"""
def total():
return sum(_seg_hold_list(holds, a, b, p, q, hot_in, hot_out))
need = _legal_ceil(total()) - total()
while need > 0 and not hot_out and b + 1 <= n - 1 and holds[b + 1] == 1:
b += 1
need -= 1
while need > 0 and not hot_in and a - 1 >= 0 and holds[a - 1] == 1:
a -= 1
need -= 1
return a, b, need
def _window(holds, p, q, handle_frames, pin_frames, hot_in, hot_out):
"""Build one window record for held span [p, q]."""
n = len(holds)
in_w = pin_frames if hot_in else handle_frames
out_w = pin_frames if hot_out else handle_frames
a = max(0, p - in_w)
b = min(n - 1, q + out_w)
a, b, pad_left = _grow_to_grid(holds, a, b, p, q, hot_in, hot_out, n)
seg = _seg_hold_list(holds, a, b, p, q, hot_in, hot_out)
dil = _legal_ceil(sum(seg))
return {
"a": a, "b": b, "p": p, "q": q,
"hot_in": hot_in, "hot_out": hot_out,
"seg_holds": seg,
"seg_len": b - a + 1,
"dilated": dil,
"tokens": _token_count(dil),
"tail_pad": dil - sum(seg), # frames the smear would freeze
"trim_in": (p - a) if hot_in else 0,
"trim_out": (b - q) if hot_out else 0,
}
def _snap_cut(holds, lo, hi, n):
"""Pick a legal boundary frame in [lo, hi]; the next window starts at +1.
Preference order, highest first: a COLD frame (hold 1 either side of the
boundary), then a TOKEN boundary that is not inside a ramp shoulder, then
any token boundary, then the raw index. Returns (cut, why).
"""
starts = [f for f in _token_starts(n) if lo + 1 <= f <= hi + 1]
for f in sorted(starts, reverse=True): # cold + token, best case
c = f - 1
if holds[c] == 1 and holds[min(c + 1, n - 1)] == 1:
return c, "cold cut on a token boundary"
for c in range(hi, lo - 1, -1): # cold, off the token grid
if holds[c] == 1 and holds[min(c + 1, n - 1)] == 1:
return c, "cold cut (no token boundary in the band)"
for f in sorted(starts, reverse=True): # hot, but on a plateau
c = f - 1
nxt = holds[min(c + 1, n - 1)]
prv = holds[max(c - 1, 0)]
if holds[c] == nxt and holds[c] == prv:
return c, "HOT cut on a token boundary, on the hold plateau"
if starts:
return max(starts) - 1, ("HOT cut on a token boundary, INSIDE a ramp "
"shoulder (no plateau boundary fit)")
return hi, "HOT cut off the token grid (no token boundary fit the budget)"
def plan_windows(holds, budget_dilated, handle_frames=12, pin_frames=6):
"""Slice the world into windows whose DILATED length fits the budget.
Returns (windows, notes). Greedy: pack as many whole bursts into one
window as fit, and only split a burst (a hot cut) when the burst alone
cannot fit.
"""
n = len(holds)
notes = []
bursts = _bursts(holds)
if not bursts:
return [], ["hold map has no held frames: nothing to regenerate"]
def fits(p, q, hot_in, hot_out):
return _window(holds, p, q, handle_frames, pin_frames,
hot_in, hot_out)["dilated"] <= budget_dilated
windows, i, hot_in = [], 0, False
guard = 0
while i < len(bursts):
guard += 1
if guard > 4 * n + 16:
notes.append("planner guard tripped; emitting what exists")
break
p, bq = bursts[i]
if not fits(p, bq, hot_in, False):
# This burst alone busts the budget: find the furthest end that
# fits, then snap that boundary to a legal cut.
e = p
while e + 1 <= bq and fits(p, e + 1, hot_in, True):
e += 1
lo = p + max(1, (e - p) // 4) # keep the cut meaningful
cut, why = _snap_cut(holds, lo, e, n)
cut = max(p, min(cut, bq - 1))
w = _window(holds, p, cut, handle_frames, pin_frames, hot_in, True)
w["cut_note"] = why
if w["dilated"] > budget_dilated:
notes.append(
f"window {len(windows)}: snapped cut at f{cut} costs "
f"{w['dilated']} dilated frames, over the {budget_dilated} "
f"budget; the nearest legal boundary is the binding "
f"constraint, not the budget")
windows.append(w)
bursts[i] = (cut + 1, bq)
hot_in = True
continue
j = i
while j + 1 < len(bursts) and fits(p, bursts[j + 1][1], hot_in, False):
j += 1
windows.append(_window(holds, p, bursts[j][1], handle_frames,
pin_frames, hot_in, False))
i, hot_in = j + 1, False
for k, w in enumerate(windows):
w["k"] = k
if w["tail_pad"] and w["hot_out"]:
# The pad rides on the LAST hold, i.e. on world frame b, and at a
# hot-out edge frame b is inside the pin overlap that gets
# trimmed. So pin-and-trim eats the freeze for free.
notes.append(
f"window {k}: {w['tail_pad']} frame(s) of grid pad freeze the "
f"last frame, but that frame is inside the trimmed pin "
f"overlap, so the freeze is discarded")
elif w["tail_pad"]:
notes.append(
f"window {k}: {w['tail_pad']} frame(s) of grid pad could not "
f"be absorbed by a cold handle; H3 Time Smear will freeze the "
f"last frame that many times")
hot = sum(1 for w in windows if w["hot_in"] or w["hot_out"])
if hot:
notes.append(f"{hot} window(s) carry a HOT edge: the boundary sits "
f"inside a burst, handled by pin-and-trim (no crossfade)")
return windows, notes
def plan_report(windows, notes, world_len, holds, budget_dilated, fps=24,
s_per_step=0.0, est_steps=18):
"""The price tag, same shape as H3ManualHoldMap's report."""
if not windows:
return "no windows: " + ("; ".join(notes) if notes else "empty plan")
full = _legal_ceil(sum(holds))
t_full = _token_count(full)
lines = [f"{len(windows)} window(s) over {world_len}f "
f"({world_len / max(fps, 1):.1f}s); one-shot would be {full}f "
f"dilated / {t_full} tokens"]
one_shot = t_full ** COST_EXP
split = 0.0
for w in windows:
split += w["tokens"] ** COST_EXP
edges = ("hot" if w["hot_in"] else "cold") + "/" + \
("hot" if w["hot_out"] else "cold")
lines.append(
f" w{w['k']}: world f{w['a']}-f{w['b']} ({w['seg_len']}f, held "
f"f{w['p']}-f{w['q']}) -> {w['dilated']}f dilated / {w['tokens']} "
f"tokens, edges {edges}"
+ (f", trim {w['trim_in']}/{w['trim_out']}"
if w["trim_in"] or w["trim_out"] else "")
+ (f" [{w['cut_note']}]" if w.get("cut_note") else ""))
peak = max(w["tokens"] for w in windows)
lines.append(
f" peak window {peak} tokens vs {t_full} one-shot "
f"({(t_full / peak) ** COST_EXP:.2f}x less per-step work at the peak); "
f"total sampling work {split / one_shot:.2f}x the one-shot pass "
f"(sum tokens^{COST_EXP}, handles counted)")
if s_per_step > 0:
secs = sum((w["tokens"] ** COST_EXP) for w in windows) / \
(_token_count(world_len) ** COST_EXP) * \
s_per_step * max(1, int(est_steps))
lines.append(f" roughly {secs / 60:.0f} min of sampling at "
f"{s_per_step:g} s/step x {int(est_steps)} steps scaled "
f"from the world-length step cost")
for note in notes:
lines.append(f" note: {note}")
return "\n".join(lines)
# --------------------------------------------------------------------------
# audio seam: asymmetric fades, and a hard cut at the local RMS minimum
# --------------------------------------------------------------------------
def _rms_min_shift(base, seg, centre, search):
"""Sample offset within +/- search that minimises local energy.
A hot audio boundary is a hard cut between two independent foley takes of
the same moment. Crossfading doubles or smears a percussive hit at any
width, so the policy is a hard cut placed where both tracks are quietest.
"""
if search <= 0:
return 0
win = max(64, search // 4)
best, best_v = 0, None
for d in range(-search, search + 1, max(1, win // 8)):
c = centre + d
if c - win < 0 or c + win > min(base.shape[-1], seg.shape[-1]):
continue
v = float(base[..., c - win:c + win].pow(2).mean() +
seg[..., c - win:c + win].pow(2).mean())
if best_v is None or v < best_v:
best, best_v = d, v
return best
def _splice_audio(base, seg, a, b, fps, xf_in, xf_out, rms_search=0):
"""Write seg over base for world frames [a, b].
xf_in / xf_out are equal-power crossfade widths in FRAMES; 0 means a hard
cut, and a hard cut gets snapped to the local RMS minimum. Written here
rather than reused from H3SegmentSplice because that node applies
max(fade_in, fade_out) to BOTH ends, which would put a crossfade on a hot
seam whenever the other end of the same window is cold.
"""
sr = base["sample_rate"]
y = base["waveform"].detach().float().cpu().clone()
s = seg["waveform"].detach().float().cpu()
if seg["sample_rate"] != sr:
torchaudio = _torchaudio("resample")
shp = s.shape
s = torchaudio.functional.resample(
s.reshape(-1, shp[-1]), seg["sample_rate"], sr).reshape(
shp[0], shp[1], -1)
if s.shape[1] != y.shape[1]:
s = s[:, :1].expand(-1, y.shape[1], -1)
s0 = int(round(a / fps * sr))
s1 = min(int(round((b + 1) / fps * sr)), y.shape[-1])
need = s1 - s0
if need <= 0:
return base
part = s[..., :need]
if part.shape[-1] < need:
part = torch.cat([part, y[..., s0 + part.shape[-1]:s1]], dim=-1)
part = part.clone()
for side, xf in (("in", xf_in), ("out", xf_out)):
w = int(round(max(0, xf) / fps * sr))
w = min(w, need // 2)
if w > 0:
t = torch.linspace(0, math.pi / 2, w)
up, down = torch.sin(t) ** 2, torch.cos(t) ** 2
if side == "in":
part[..., :w] = y[..., s0:s0 + w] * down + part[..., :w] * up
else:
part[..., -w:] = (y[..., s1 - w:s1] * up.flip(0) +
part[..., -w:] * down.flip(0))
elif rms_search > 0:
centre = 0 if side == "in" else need
d = _rms_min_shift(y[..., s0:s1], part, centre, rms_search)
if side == "in" and d > 0:
part[..., :d] = y[..., s0:s0 + d]
elif side == "out" and d < 0:
part[..., d:] = y[..., s1 + d:s1]
y[..., s0:s1] = part
return {"waveform": y.contiguous(), "sample_rate": sr}
def _silence(world_len, fps, sr, channels=2):
n = int(round(world_len / max(fps, 1) * sr))
return {"waveform": torch.zeros(1, channels, max(n, 1)), "sample_rate": sr}
# --------------------------------------------------------------------------
# the node
# --------------------------------------------------------------------------
class H3WindowLoop:
"""Rolling-window regeneration in one node: plan, then run the whole
chain per window and splice the world back together."""
DESCRIPTION = (
"EXPERIMENTAL (alpha), new 2026-08-12.\n\n"
"Regenerates a clip in rolling windows so the peak dilated span "
"never exceeds a budget you set, then splices the world back "
"together. One node runs the whole per-window chain internally "
"(time smear, VAE encode, v2v init, sample, decode, exact recover, "
"audio recover, splice), so it needs the sampler's ingredients as "
"inputs: MODEL + positive CONDITIONING (or a GUIDER), video VAE, "
"audio VAE, SAMPLER, SIGMAS and a seed.\n\n"
"budget_dilated is the knob and it is counted in DILATED frames, "
"not world frames: that is the number that sets both the bill and "
"the VRAM peak. Run with plan_only ON first — the report prices "
"every window before you pay for any of them.\n\n"
"SEAMS. A boundary between bursts is a COLD cut (hold 1 on both "
"sides): handles are real-time baseline context and the splice "
"crossfades inside them, which is the shipped single-window "
"behaviour N times over. A boundary forced INSIDE a burst is a HOT "
"cut, and gets pin-and-trim instead: the next window regenerates an "
"overlap seeded from the already-recovered world, uses it as "
"context, then discards it, leaving a hard cut at a pinned frame. "
"Hot handles inherit the world hold value so both sides of the seam "
"are repaired at the same rate, and hot audio is a hard cut at the "
"local RMS minimum, never a crossfade (two independent foley takes "
"of one moment cannot be dissolved).\n\n"
"What rides along and what does not: MODEL-domain user nodes "
"(attention patches, chunked feed-forward, LoRAs) and SAMPLER "
"wrappers apply because you wire them upstream of this node. "
"IMAGE-domain nodes inside a loop body cannot; the common one, an "
"ImageScale between smear and encode, is replicated by the "
"draft_width/draft_height widgets. Anything else you wanted in the "
"loop is not reachable from here.\n\n"
"Progress is one bar across every window's every step, so the node "
"reports N x steps and previews as usual. Interrupt lands at the "
"next sampler step, not at the next window; set on_interrupt to "
"'return partial world' to keep the windows that already landed.")
@classmethod
def INPUT_TYPES(cls):
return {"required": {
"model": ("MODEL", {"tooltip": "patched however you like: LoRAs, attention patches and chunked feed-forward all ride along"}),
"positive": ("CONDITIONING",),
"vae": ("VAE", {"tooltip": "video VAE"}),
"audio_vae": ("VAE", {"tooltip": "audio VAE, for the jointly generated foley"}),
"sampler": ("SAMPLER",),
"sigmas": ("SIGMAS", {"tooltip": "from H3 Inject Schedule; the whole point is that these are the INJECTED sigmas"}),
"noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff,
"control_after_generate": True}),
"images": ("IMAGE", {"tooltip": "baseline frames, world clock"}),
"hold_map": ("STRING", {"default": "", "forceInput": True,
"tooltip": "from the oracle, H3 Manual Hold Map or H3 Motion Editor"}),
"budget_dilated": ("INT", {"default": 124, "min": 39, "max": 3600,
"tooltip": "max DILATED frames per window; the VRAM and cost dial"}),
}, "optional": {
"guider": ("GUIDER", {"tooltip": "overrides model+positive; wire your own guider to keep control of conditioning"}),
"baseline_audio": ("AUDIO", {"tooltip": "the baseline clip's track; unwired, the world starts as silence"}),
"handle_frames": ("INT", {"default": 12, "min": 2, "max": 48,
"tooltip": "real-time context frames on each COLD edge"}),
"pin_frames": ("INT", {"default": 6, "min": 2, "max": 48,
"tooltip": "overlap regenerated then discarded at each HOT edge (pin-and-trim)"}),
"feather_frames": ("INT", {"default": 6, "min": 0, "max": 24,
"tooltip": "crossfade width inside a COLD handle; hot edges ignore it by policy"}),
"fps": ("INT", {"default": 24, "min": 1, "max": 120}),
"seed_stride": ("INT", {"default": 1, "min": 0, "max": 1000,
"tooltip": "seed offset per window; 0 = every window on the same seed"}),
"draft_width": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8,
"tooltip": "0 = off. Replicates the ImageScale that community loop bodies put between smear and encode"}),
"draft_height": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}),
"upscale_method": (["lanczos", "bicubic", "bilinear", "area", "nearest-exact"],
{"default": "lanczos"}),
"on_interrupt": (["raise (stock behaviour)", "return partial world"],
{"default": "raise (stock behaviour)"}),
"plan_only": ("BOOLEAN", {"default": False,
"tooltip": "price the plan and stop; images pass through untouched"}),
"audio_rms_search_ms": ("FLOAT", {"default": 12.0, "min": 0.0, "max": 200.0, "step": 1.0,
"tooltip": "how far a hot audio cut may slide to land on a local RMS minimum"}),
"s_per_step": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 120.0, "step": 0.05}),
}}
RETURN_TYPES = ("IMAGE", "AUDIO", "STRING", "STRING")
RETURN_NAMES = ("images", "audio", "plan", "report")
FUNCTION = "run"
CATEGORY = "image/minimax/motion"
# ---- planning ---------------------------------------------------------
def _plan(self, holds, budget, handle_frames, pin_frames):
return plan_windows(holds, budget, handle_frames, pin_frames)
# ---- one window -------------------------------------------------------
def _one_window(self, w, world, world_audio, ctx):
"""Crop from the RUNNING world (that is the pin), regenerate, recover,
trim, splice. Returns the new (world, world_audio)."""
import comfy.model_management
import comfy.utils
from comfy_extras.nodes_audio import vae_decode_audio
comfy.model_management.throw_exception_if_processing_interrupted()
a, b = w["a"], w["b"]
seg = world[a:b + 1]
seg_map = json.dumps({"holds": w["seg_holds"], "world_len": w["seg_len"]})
smeared, used_map, length, _rep = H3TimeSmear().smear(
seg, 4, hold_map=seg_map)
if ctx["draft"] is not None:
dw, dh = ctx["draft"]
smeared = comfy.utils.common_upscale(
smeared.movedim(-1, 1), dw, dh, ctx["upscale_method"],
"disabled").movedim(1, -1)
comfy.model_management.throw_exception_if_processing_interrupted()
latent = {"samples": ctx["vae"].encode(smeared[:, :, :, :3])}
init = H3V2VInit().build(latent, length=0)[0]
noise = _Noise(ctx["seed"] + w["k"] * ctx["seed_stride"])
samples = ctx["guider"].sample(
noise.generate_noise(init), init["samples"], ctx["sampler"],
ctx["sigmas"], denoise_mask=init.get("noise_mask"),
callback=ctx["make_cb"](w["k"]), disable_pbar=True,
seed=noise.seed)
out = {"samples": samples.to(comfy.model_management.intermediate_device())}
comfy.model_management.throw_exception_if_processing_interrupted()
video = out["samples"]
if video.is_nested:
video = video.unbind()[0]
frames = ctx["vae"].decode(video)
if len(frames.shape) == 5:
frames = frames.reshape(-1, *frames.shape[-3:])
rec = H3ExactRecover().recover(frames, used_map)[0]
seg_audio = None
if ctx["audio_vae"] is not None:
raw = vae_decode_audio(ctx["audio_vae"], out)
seg_audio = H3AudioRecover().recover(raw, used_map, ctx["fps"])[0]
# ---- trim the pinned overlap away, then splice --------------------
ti, to = w["trim_in"], w["trim_out"]
if ti or to:
rec = rec[ti:rec.shape[0] - to if to else rec.shape[0]]
if seg_audio is not None:
sr = seg_audio["sample_rate"]
s0 = int(round(ti / ctx["fps"] * sr))
s1 = seg_audio["waveform"].shape[-1] - \
int(round(to / ctx["fps"] * sr))
seg_audio = {"waveform": seg_audio["waveform"][..., s0:s1],
"sample_rate": sr}
start, end = a + ti, b - to
splice = json.dumps({
"start": start, "end": end, "world_len": world.shape[0],
"handle_in": 0 if w["hot_in"] else (w["p"] - a),
"handle_out": 0 if w["hot_out"] else (b - w["q"])})
if rec.shape[1:] != world.shape[1:]:
rec = comfy.utils.common_upscale(
rec.movedim(-1, 1), world.shape[2], world.shape[1],
ctx["upscale_method"], "disabled").movedim(1, -1)
world = H3SegmentSplice().splice(world, rec, splice,
ctx["feather_frames"])[0]
if seg_audio is not None and world_audio is not None:
world_audio = _splice_audio(
world_audio, seg_audio, start, end, ctx["fps"],
0 if w["hot_in"] else ctx["feather_frames"],
0 if w["hot_out"] else ctx["feather_frames"],
ctx["rms_search"])
return world, world_audio
# ---- driver -----------------------------------------------------------
def run(self, model, positive, vae, audio_vae, sampler, sigmas, noise_seed,
images, hold_map, budget_dilated, guider=None, baseline_audio=None,
handle_frames=12, pin_frames=6, feather_frames=6, fps=24,
seed_stride=1, draft_width=0, draft_height=0,
upscale_method="lanczos", on_interrupt="raise (stock behaviour)",
plan_only=False, audio_rms_search_ms=12.0, s_per_step=0.0):
import comfy.model_management
import comfy.utils
import latent_preview
images = images.detach().cpu()
holds = json.loads(hold_map)["holds"]
n = images.shape[0]
assert len(holds) == n, (
f"hold map covers {len(holds)} frames, clip has {n}")
windows, notes = self._plan(holds, int(budget_dilated),
int(handle_frames), int(pin_frames))
plan = plan_report(windows, notes, n, holds, int(budget_dilated), fps,
s_per_step, max(1, sigmas.shape[-1] - 1))
if plan_only or not windows:
return (images, baseline_audio or _silence(n, fps, 32000),
plan, "plan_only: nothing was generated" if plan_only
else "no windows to run")
if guider is None:
from comfy_extras.nodes_custom_sampler import Guider_Basic
guider = Guider_Basic(model)
guider.set_conds(positive)
steps = max(1, sigmas.shape[-1] - 1)
total = steps * len(windows)
pbar = comfy.utils.ProgressBar(total)
previewer = latent_preview.get_previewer(
guider.model_patcher.load_device,
guider.model_patcher.model.latent_format)
def make_cb(k):
def cb(step, x0, x, total_steps):
preview = None
if previewer is not None:
z = x0.tensors[0] if getattr(x0, "is_nested", False) else x0
preview = previewer.decode_latent_to_preview_image("JPEG", z)
# ONE bar across the whole run: the hook resolves node_id from
# the executing context, so this lands on this node, and the
# hook itself raises InterruptProcessingException, which is
# what gives per-STEP interrupt granularity.
pbar.update_absolute(k * steps + step + 1, total, preview)
return cb
ctx = {"vae": vae, "audio_vae": audio_vae, "sampler": sampler,
"sigmas": sigmas, "guider": guider, "seed": int(noise_seed),
"seed_stride": int(seed_stride), "fps": int(fps),
"feather_frames": int(feather_frames), "make_cb": make_cb,
"upscale_method": upscale_method,
"draft": ((int(draft_width), int(draft_height))
if draft_width and draft_height else None),
"rms_search": int(round(audio_rms_search_ms / 1000.0 * 32000))}
world = images.clone()
world_audio = baseline_audio
done, lines = 0, []
try:
for w in windows:
log.info("H3WindowLoop: window %d/%d, world f%d-f%d, %d "
"dilated frames (%d tokens)", w["k"] + 1,
len(windows), w["a"], w["b"], w["dilated"],
w["tokens"])
if world_audio is None and audio_vae is not None:
world_audio = _silence(n, fps, 32000)
world, world_audio = self._one_window(w, world, world_audio, ctx)
done += 1
lines.append(f"w{w['k']} done: f{w['a']}-f{w['b']}, "
f"{w['dilated']}f dilated, {w['tokens']} tokens")
except comfy.model_management.InterruptProcessingException:
if not on_interrupt.startswith("return"):
raise
lines.append(f"INTERRUPTED after {done} of {len(windows)} "
f"windows; the world carries the finished ones and "
f"baseline everywhere else")
report = (f"{done} of {len(windows)} window(s) run, {steps} steps "
f"each ({done * steps} of {total} sampler steps)\n"
+ "\n".join(lines))
return (world, world_audio or _silence(n, fps, 32000), plan, report)
class _Noise:
"""Same contract as nodes_custom_sampler.Noise_RandomNoise, inlined so the
loop does not depend on that module's import surface at call time."""
def __init__(self, seed):
self.seed = int(seed) & 0xffffffffffffffff
def generate_noise(self, input_latent):
import comfy.sample
return comfy.sample.prepare_noise(
input_latent["samples"], self.seed,
input_latent.get("batch_index"))
NODE_CLASS_MAPPINGS = {"H3WindowLoop": H3WindowLoop}
NODE_DISPLAY_NAME_MAPPINGS = {
"H3WindowLoop": "H3 Window Loop (rolling regen, one node) [alpha]"}
|