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Duplicate from drbaph/MiniMax-H3-Turbo-Lora-ComfyUI

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Co-authored-by: DRBAPH <drbaph@users.noreply.huggingface.co>

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Comfy-Org/MiniMax-H3
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+ base_model_relation: adapter
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+ pipeline_tag: text-to-video
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+ tags:
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+ - minimax-h3
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+ - lora
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+ - adapter
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+ - comfyui
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+ - pruned
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+ - pruned-model
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+ - curve-form
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+ - text-to-video
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+ - text-to-audio
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+ - audio-video
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+ - video-generation
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+ - audio-generation
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+ - synchronized-audio
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+ - few-step
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+ - four-step
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+ - 4-step
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+ - turbo
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+ - accelerated-inference
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+ - further-trained
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+ - checkpoint-500
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+ - checkpoint-600
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+ - checkpoint-850
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+ - v4
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+ - ema
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+ - euler
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+ - beta-scheduler
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+ - safetensors
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+ - bfloat16
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+ - bf16
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+ - partial-conversion
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+ ---
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+
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+ # MiniMax-H3 Turbo LoRA — ComfyUI Pruned-Model Compatibility Conversions
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+
41
+ This repository contains third-party **ComfyUI compatibility conversions** of the original **MiniMax-H3 Turbo LoRA** created by **[larryvrh](https://huggingface.co/larryvrh)**.
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+
43
+ The Turbo LoRA enables few-step MiniMax-H3 audio-video generation, producing joint video and synchronized audio using substantially fewer sampling steps than the standard MiniMax-H3 workflow.
44
+
45
+ This repository includes compatibility conversions of the initial Turbo weights as well as later **checkpoint-500**, **checkpoint-850**, and **v4 step-600** releases.
46
+
47
+ These LoRAs are intended for the **pruned/curve-form MiniMax-H3 checkpoint used by ComfyUI**.
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+
49
+ > **Recommended checkpoint:** `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
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+ >
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+ > **Recommended settings:** **8 steps · Euler sampler · Beta scheduler**
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+
53
+ ---
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+
55
+ # Workflow Examples
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+
57
+ ## New Workflow Output
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+
59
+ This is the output from the current recommended workflow using the newer **v4 step-600 EMA** checkpoint and recommended sampling configuration.
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+
61
+ <video
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+ src="https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_audio.mp4"
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+ controls
64
+ loop
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+ width="100%"> </video>
66
+
67
+ ### New Recommended Workflow
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+
69
+ [Download the current ComfyUI workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
70
+
71
+ The current workflow is:
72
+
73
+ `fl_minimax_h3_turbo_lora_example_workflow.json`
74
+
75
+ Recommended starting configuration:
76
+
77
+ ```text
78
+ Checkpoint: minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors
79
+ Steps: 8
80
+ Sampler: euler
81
+ Scheduler: beta
82
+ LoRA strength: 1.0
83
+ ```
84
+
85
+ ---
86
+
87
+ ## Recommended Setup
88
+
89
+ For the best overall results in this repository, start with:
90
+
91
+ `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
92
+
93
+ ### Recommended ComfyUI settings
94
+
95
+ | Setting | Recommended |
96
+ | ----------------- | ------------------------------------------------------------ |
97
+ | LoRA | `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors` |
98
+ | Steps | `8` |
99
+ | Sampler | `euler` |
100
+ | Scheduler | `beta` | |
101
+ | LoRA strength | `1.0` starting point |
102
+
103
+ The **v4 step-600 EMA** checkpoint is currently the recommended general-purpose version in this repository.
104
+
105
+ For most generations, **8 steps with Euler and the Beta scheduler** is the recommended starting configuration for these ComfyUI compatibility versions.
106
+
107
+ ---
108
+
109
+ ## Old Workflow Output
110
+
111
+ The following video and workflow are retained as an example of the previous Turbo LoRA configuration.
112
+
113
+ <video
114
+ src="https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4"
115
+ controls
116
+ loop
117
+ width="100%"> </video>
118
+
119
+ ### Old Workflow
120
+
121
+ [Download the old ComfyUI workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow_old.json?download=true)
122
+
123
+ The previous workflow has been renamed to:
124
+
125
+ `fl_minimax_h3_turbo_lora_example_workflow_old.json`
126
+
127
+ ![Old ComfyUI workflow screenshot](https://cdn-uploads.huggingface.co/production/uploads/63473b59e5c0717e6737b872/zfVV_yKP-njnOrGinGy8K.png)
128
+
129
+ ---
130
+
131
+ ## Original Project
132
+
133
+ The original LoRA weights, training work, distillation method, audio/video sampling implementation, documentation and source files were created and released by **larryvrh**.
134
+
135
+ **Original repository:**
136
+ [larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
137
+
138
+ I did **not** train, distill or create the original Turbo LoRA weights.
139
+
140
+ This repository provides modified compatibility versions intended to allow the compatible LoRA adapters to load with ComfyUI's built-in MiniMax-H3 LoRA loader when using the pruned/curve-form model.
141
+
142
+ Full credit for the original MiniMax-H3 Turbo LoRA, training and distillation method belongs to **larryvrh**.
143
+
144
+ ---
145
+
146
+ ## Included Files
147
+
148
+ | File | Description |
149
+ | --------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- |
150
+ | `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors` | **Recommended.** Pruned-model ComfyUI compatibility conversion of the v4 step-600 EMA checkpoint. |
151
+ | `minimax_h3_turbo_v4_step600_pruned_comfyui.safetensors` | Non-EMA version of the v4 step-600 checkpoint for comparison. |
152
+ | `minimax_h3_turbo_4step_ema_ckpt850_pruned_comfyui.safetensors` | EMA compatibility conversion of the checkpoint-850 weights. |
153
+ | `minimax_h3_turbo_4step_ckpt850_pruned_comfyui.safetensors` | Non-EMA compatibility conversion of the checkpoint-850 weights. |
154
+ | `minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors` | Further-trained checkpoint-500 EMA variant in the pruned-model ComfyUI format. |
155
+ | `minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors` | Further-trained checkpoint-500 non-EMA variant in the pruned-model ComfyUI format. |
156
+ | `minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors` | Compatibility conversion of the initial EMA Turbo release. |
157
+ | `minimax_h3_turbo_4step_pruned_comfyui.safetensors` | Compatibility conversion of the initial non-EMA Turbo release. |
158
+ | `fl_minimax_h3_turbo_lora_example_workflow.json` | **Current recommended ComfyUI example workflow.** |
159
+ | `fl_minimax_h3_turbo_lora_example_workflow_old.json` | Previous example workflow, retained for reference and comparison. |
160
+ | `assets/MiniMax_H3_audio.mp4` | Output video from the **new recommended workflow**. |
161
+ | `assets/MiniMax_H3_00060-audio.mp4` | Output video from the previous workflow. |
162
+
163
+ The EMA and non-EMA files remain separate and contain different tensor values.
164
+
165
+ The files without checkpoint identifiers preserve the earlier preview weights.
166
+
167
+ The `ckpt500` and `ckpt850` files belong to the older training line, while the `v4_step600` files use the newer **v4 training recipe**.
168
+
169
+ These files are partial compatibility versions of the original full-model Turbo LoRAs for use with the pruned/curve-form MiniMax-H3 architecture.
170
+
171
+ ---
172
+
173
+ ## Which File Should I Use?
174
+
175
+ ### Recommended — v4 Step-600 EMA
176
+
177
+ Start with:
178
+
179
+ `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
180
+
181
+ Recommended configuration:
182
+
183
+ * **Steps:** `8`
184
+ * **Sampler:** `euler`
185
+ * **Scheduler:** `beta`
186
+ * **LoRA strength:** start at `1.0`
187
+ * **Video sigma shift:** `12`
188
+ * **Audio sigma shift:** `4-6`
189
+
190
+ This is the **recommended checkpoint for most generations**.
191
+
192
+ ### v4 Step-600 non-EMA
193
+
194
+ For comparison:
195
+
196
+ `minimax_h3_turbo_v4_step600_pruned_comfyui.safetensors`
197
+
198
+ The non-EMA weights are provided primarily for testing and comparison against the recommended EMA checkpoint.
199
+
200
+ ### Checkpoint-850
201
+
202
+ EMA:
203
+
204
+ `minimax_h3_turbo_4step_ema_ckpt850_pruned_comfyui.safetensors`
205
+
206
+ Non-EMA:
207
+
208
+ `minimax_h3_turbo_4step_ckpt850_pruned_comfyui.safetensors`
209
+
210
+ These are retained for comparison with the newer v4 training line.
211
+
212
+ ### Checkpoint-500
213
+
214
+ EMA:
215
+
216
+ `minimax_h3_turbo_4step_ema_ckpt500_pruned_comfyui.safetensors`
217
+
218
+ Non-EMA:
219
+
220
+ `minimax_h3_turbo_4step_ckpt500_pruned_comfyui.safetensors`
221
+
222
+ These preserve the earlier further-trained checkpoint-500 release.
223
+
224
+ ### Initial Preview Weights
225
+
226
+ The following files preserve the initial preview versions:
227
+
228
+ * `minimax_h3_turbo_4step_pruned_comfyui.safetensors`
229
+ * `minimax_h3_turbo_4step_ema_pruned_comfyui.safetensors`
230
+
231
+ They are kept primarily for comparison and reproducibility.
232
+
233
+ ---
234
+
235
+ ## Recommended Workflow
236
+
237
+ The current recommended workflow file is:
238
+
239
+ `fl_minimax_h3_turbo_lora_example_workflow.json`
240
+
241
+ Download:
242
+
243
+ [fl_minimax_h3_turbo_lora_example_workflow.json](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
244
+
245
+ It is intended to be used with:
246
+
247
+ `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
248
+
249
+ Recommended configuration:
250
+
251
+ ```text
252
+ Steps: 8
253
+ Sampler: euler
254
+ Scheduler: beta
255
+ LoRA strength: 1.0
256
+ Video sigma shift: 12
257
+ Audio sigma shift: 4-6
258
+ ```
259
+
260
+ The corresponding example output is:
261
+
262
+ `assets/MiniMax_H3_audio.mp4`
263
+
264
+ [View / download MiniMax_H3_audio.mp4](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_audio.mp4)
265
+
266
+ ---
267
+
268
+ ## Previous Workflow
269
+
270
+ The previous example workflow is retained as:
271
+
272
+ `fl_minimax_h3_turbo_lora_example_workflow_old.json`
273
+
274
+ Download:
275
+
276
+ [fl_minimax_h3_turbo_lora_example_workflow_old.json](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow_old.json?download=true)
277
+
278
+ Its corresponding example output is:
279
+
280
+ `assets/MiniMax_H3_00060-audio.mp4`
281
+
282
+ [View / download MiniMax_H3_00060-audio.mp4](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4)
283
+
284
+ ---
285
+
286
+ ## About the Original Turbo LoRA
287
+
288
+ The MiniMax-H3 Turbo LoRA is designed to generate joint video and synchronized stereo audio using dramatically fewer sampling steps than the standard MiniMax-H3 generation process.
289
+
290
+ The original project demonstrated generation using substantially fewer sampling steps than the normal MiniMax-H3 workflow, providing a large reduction in sampling time.
291
+
292
+ The newer Turbo checkpoints continue to improve upon the initial preview release.
293
+
294
+ Refer to the original repository for the author's current documentation, training updates, standalone generation implementation and sampling recommendations:
295
+
296
+ [larryvrh/MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)
297
+
298
+ ---
299
+
300
+ ## Why This Conversion Was Made
301
+
302
+ The original Turbo LoRA files use tensor keys such as:
303
+
304
+ `blocks.0.attn.qkv_proj.lora_A.weight`
305
+
306
+ ComfyUI's built-in MiniMax-H3 LoRA resolver expects keys under the model namespace:
307
+
308
+ `diffusion_model.blocks.0.attn.qkv_proj.lora_A.weight`
309
+
310
+ Without that namespace, ComfyUI may report warnings such as:
311
+
312
+ `[WARNING] lora key not loaded: blocks.0.attn.out_proj.lora_A.weight`
313
+
314
+ The following namespace conversion was applied to the retained tensors:
315
+
316
+ * `blocks.*` → `diffusion_model.blocks.*`
317
+ * `token_refiner.*` → `diffusion_model.token_refiner.*`
318
+
319
+ The retained tensor values, BF16 dtype, tensor shapes, LoRA rank and A/B orientation were preserved.
320
+
321
+ ---
322
+
323
+ ## Conversion Details
324
+
325
+ Each original full-model Turbo LoRA contained:
326
+
327
+ | Component | Count |
328
+ | --------------------- | ----: |
329
+ | Source tensors | 518 |
330
+ | Source LoRA A/B pairs | 259 |
331
+
332
+ Each pruned-model compatibility conversion contains:
333
+
334
+ | Component | Count |
335
+ | ----------------------- | ----: |
336
+ | Retained tensors | 416 |
337
+ | Retained LoRA A/B pairs | 208 |
338
+ | Pruned AdaLN tensors | 102 |
339
+ | Pruned AdaLN A/B pairs | 51 |
340
+
341
+ The pruned adapters were:
342
+
343
+ * 50 AdaLN projection pairs from `blocks.0` through `blocks.49`;
344
+ * 1 AdaLN projection pair from `final_layer.adaln_proj.linear`.
345
+
346
+ The retained adapters include:
347
+
348
+ * all main-block attention adapters;
349
+ * all main-block MLP adapters;
350
+ * all token-refiner attention adapters;
351
+ * all token-refiner MLP adapters.
352
+
353
+ The retained attention, MLP and token-refiner tensors have dimensions compatible with the pruned/curve-form MiniMax-H3 checkpoint.
354
+
355
+ ---
356
+
357
+ ## Validation
358
+
359
+ The converted LoRA structure was checked for:
360
+
361
+ * complete LoRA A/B adapter pairs;
362
+ * no orphan A or B tensors;
363
+ * retained keys using the `diffusion_model.*` namespace;
364
+ * no duplicated `diffusion_model.diffusion_model.*` prefixes;
365
+ * no incompatible `adaln_proj` tensors;
366
+ * preserved BF16 dtype;
367
+ * preserved tensor shapes;
368
+ * preserved LoRA ranks;
369
+ * separate EMA and non-EMA weights;
370
+ * no unresolved retained keys during ComfyUI loader-level validation.
371
+
372
+ The original source files were not overwritten.
373
+
374
+ ---
375
+
376
+ ## Optional Acceleration
377
+
378
+ The LoRAs have been tested working in ComfyUI with optional acceleration methods including:
379
+
380
+ * **SageAttention**
381
+ * **Sol Attention**
382
+ * **Gradient**
383
+ * **Spectrum**
384
+
385
+ These acceleration methods are optional and are not included in this repository.
386
+
387
+ They may also be combined with the Turbo LoRA depending on your ComfyUI workflow and available custom nodes.
388
+
389
+ ---
390
+
391
+ ## Important Limitation
392
+
393
+ These files are **partial ComfyUI compatibility conversions intended specifically for the pruned/curve-form MiniMax-H3 architecture**.
394
+
395
+ The original full-model Turbo LoRAs contain AdaLN adapters that do not directly match the corresponding dimensions of the pruned/curve-form MiniMax-H3 checkpoint.
396
+
397
+ Those incompatible AdaLN tensors are therefore excluded from these compatibility versions.
398
+
399
+ The retained attention, MLP and token-refiner LoRA tensors remain compatible with the pruned architecture.
400
+
401
+ Because these are partial compatibility conversions, they should not be assumed to be numerically identical in behaviour to using the original full Turbo LoRA with its intended full MiniMax-H3 base.
402
+
403
+ ---
404
+
405
+ ## Usage
406
+
407
+ Place the LoRA files inside:
408
+
409
+ `ComfyUI/models/loras/`
410
+
411
+ Use them with the **pruned/curve-form MiniMax-H3 checkpoint for ComfyUI**.
412
+
413
+ ### Recommended LoRA
414
+
415
+ `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
416
+
417
+ ### Recommended settings
418
+
419
+ * **Steps:** `8`
420
+ * **Sampler:** `euler`
421
+ * **Scheduler:** `beta`
422
+ * **Video sigma shift:** `12`
423
+ * **Audio sigma shift:** `4-6`
424
+ * **LoRA strength:** `1.0` recommended starting point
425
+
426
+ The recommended workflow for these settings is:
427
+
428
+ [Download `fl_minimax_h3_turbo_lora_example_workflow.json`](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
429
+
430
+ The corresponding example output is:
431
+
432
+ [View `assets/MiniMax_H3_audio.mp4`](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_audio.mp4)
433
+
434
+ If necessary, LoRA strength can be adjusted slightly for individual generations.
435
+
436
+ A reasonable starting range is approximately:
437
+
438
+ `0.8-1.2`
439
+
440
+ When comparing checkpoints, use the same:
441
+
442
+ * prompt;
443
+ * seed;
444
+ * resolution;
445
+ * frame count;
446
+ * base model;
447
+ * sampler;
448
+ * scheduler;
449
+ * LoRA strength;
450
+ * workflow.
451
+
452
+ This gives a meaningful comparison between checkpoint versions.
453
+
454
+ ---
455
+
456
+ ## Sampling Step Guidance
457
+
458
+ The Turbo LoRA can operate at extremely low step counts, but image quality and motion consistency generally improve when moving beyond the minimum.
459
+
460
+ ### 4 steps
461
+
462
+ Maximum speed.
463
+
464
+ Useful for testing and rapid previews.
465
+
466
+ ### 6 steps
467
+
468
+ Good speed/quality compromise.
469
+
470
+ ### 8 steps
471
+
472
+ **Recommended for the v4 step-600 EMA compatibility conversion.**
473
+
474
+ Use:
475
+
476
+ ```text
477
+ 8 steps
478
+ Euler sampler
479
+ Beta scheduler
480
+ ```
481
+
482
+ This is the recommended configuration used by the current example workflow.
483
+
484
+ ---
485
+
486
+ ## Audio and Scheduler Notes
487
+
488
+ MiniMax-H3 generates video and synchronized audio as separate streams with different scheduling requirements.
489
+
490
+ Incorrect audio scheduling can result in:
491
+
492
+ * blown-out audio;
493
+ * severe distortion;
494
+ * noise-like audio;
495
+ * unstable audio energy;
496
+ * completely broken audio.
497
+
498
+ For the current recommended ComfyUI compatibility workflow in this repository:
499
+
500
+ ```text
501
+ LoRA: minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors
502
+ Steps: 8
503
+ Sampler: euler
504
+ Scheduler: beta
505
+ Video sigma shift: 12
506
+ Audio sigma shift: 4-6
507
+ LoRA strength: 1.0
508
+ ```
509
+
510
+ Do not automatically assume broken audio is caused by the LoRA.
511
+
512
+ Check:
513
+
514
+ * sampler configuration;
515
+ * scheduler configuration;
516
+ * audio sigma shift;
517
+ * video sigma shift;
518
+ * ComfyUI version;
519
+ * MiniMax-H3 sampling implementation;
520
+ * custom sampler nodes.
521
+
522
+ ---
523
+
524
+ ## Original Turbo Custom Node
525
+
526
+ The original Turbo author also provides a dedicated ComfyUI custom node:
527
+
528
+ [GitHub — Larryvrh/ComfyUI-MiniMax-H3-Turbo](https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo)
529
+
530
+ The node includes a MiniMax-H3 Turbo LoRA loader and dedicated sampling functionality designed for MiniMax-H3's video/audio scheduling behaviour.
531
+
532
+ A workflow is also included in the custom-node repository.
533
+
534
+ The custom node evolves alongside the upstream Turbo weights, so users choosing that implementation should follow the settings documented in its current README.
535
+
536
+ The settings documented in this repository refer to the tested **pruned-model compatibility workflow**, where the recommended starting point is:
537
+
538
+ **v4 step-600 EMA · 8 steps · Euler · Beta scheduler**
539
+
540
+ ---
541
+
542
+ ## Compatibility
543
+
544
+ These LoRAs are intended for the **pruned/curve-form MiniMax-H3 checkpoint used by ComfyUI**.
545
+
546
+ The compatibility conversions are particularly useful when the original full-model LoRA cannot be loaded directly because of incompatible AdaLN dimensions.
547
+
548
+ Optional acceleration methods confirmed working with these conversions include:
549
+
550
+ * SageAttention
551
+ * Sol Attention
552
+ * Gradient
553
+ * Spectrum
554
+
555
+ Accelerators can generally be stacked where the corresponding ComfyUI implementations support it.
556
+
557
+ ---
558
+
559
+ ## Naming Notes
560
+
561
+ The upstream project contains multiple generations of Turbo training.
562
+
563
+ ### Older naming
564
+
565
+ Files such as:
566
+
567
+ `minimax_h3_turbo_4step_ema_ckpt500.safetensors`
568
+
569
+ and:
570
+
571
+ `minimax_h3_turbo_4step_ema_ckpt850.safetensors`
572
+
573
+ belong to the older training line.
574
+
575
+ In these filenames, `4step` refers to the few-step Turbo sampling target.
576
+
577
+ ### Newer v4 naming
578
+
579
+ Files such as:
580
+
581
+ `minimax_h3_turbo_v4_step600_ema.safetensors`
582
+
583
+ use the newer naming convention.
584
+
585
+ Here:
586
+
587
+ * `v4` refers to the newer training recipe;
588
+ * `step600` refers to training step 600;
589
+ * `ema` refers to the exponential-moving-average weights.
590
+
591
+ The corresponding pruned ComfyUI compatibility conversion in this repository is:
592
+
593
+ `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
594
+
595
+ This is the **recommended checkpoint**.
596
+
597
+ ---
598
+
599
+ ## Repository Workflow Files
600
+
601
+ ### Current workflow
602
+
603
+ `fl_minimax_h3_turbo_lora_example_workflow.json`
604
+
605
+ [Download current workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true)
606
+
607
+ Current workflow output:
608
+
609
+ `assets/MiniMax_H3_audio.mp4`
610
+
611
+ [View current workflow output](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_audio.mp4)
612
+
613
+ ### Previous workflow
614
+
615
+ `fl_minimax_h3_turbo_lora_example_workflow_old.json`
616
+
617
+ [Download previous workflow](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow_old.json?download=true)
618
+
619
+ Previous workflow output:
620
+
621
+ `assets/MiniMax_H3_00060-audio.mp4`
622
+
623
+ [View previous workflow output](https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/assets/MiniMax_H3_00060-audio.mp4)
624
+
625
+ ---
626
+
627
+ ## Attribution
628
+
629
+ Original MiniMax-H3 Turbo LoRA author:
630
+
631
+ **[larryvrh](https://huggingface.co/larryvrh)**
632
+
633
+ Original project:
634
+
635
+ **[MiniMax-H3-Turbo-Lora](https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora)**
636
+
637
+ Original ComfyUI Turbo custom node:
638
+
639
+ **[ComfyUI-MiniMax-H3-Turbo](https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo)**
640
+
641
+ This repository contains third-party, partial ComfyUI compatibility versions for the pruned/curve-form MiniMax-H3 checkpoint, including:
642
+
643
+ * initial Turbo preview weights;
644
+ * checkpoint-500 variants;
645
+ * checkpoint-850 variants;
646
+ * v4 step-600 variants.
647
+
648
+ I do not claim authorship of:
649
+
650
+ * the original Turbo LoRA weights;
651
+ * the original LoRA training;
652
+ * the original distillation method;
653
+ * the original few-step sampling method;
654
+ * the original dual video/audio scheduling implementation;
655
+ * the original generation scripts;
656
+ * the original documentation;
657
+ * the MiniMax-H3 base model;
658
+ * the pruned/curve-form MiniMax-H3 checkpoint.
659
+
660
+ The modifications in this repository are compatibility conversions intended to make the compatible portions of the upstream Turbo LoRAs usable with the pruned/curve-form MiniMax-H3 architecture in ComfyUI.
661
+
662
+ Please retain attribution to **larryvrh** and comply with the licences and terms of the original LoRA and MiniMax-H3 base model when using or redistributing these files.
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+ {
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+ "id": "e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e",
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+ "revision": 0,
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+ "last_link_id": 302,
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+ "id": 116,
9
+ "type": "MarkdownNote",
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+ 740
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+ ],
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+ "flags": {},
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+ "order": 0,
20
+ "mode": 0,
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+ "inputs": [],
22
+ "outputs": [],
23
+ "title": "Note: MiniMax H3",
24
+ "properties": {
25
+ "ue_properties": {
26
+ "widget_ue_connectable": {},
27
+ "version": "7.8",
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+ "input_ue_unconnectable": {}
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+ "widgets_values": [
32
+ "## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## ComfyUI links\n- [ComfyUI#15224](https://github.com/Comfy-Org/ComfyUI/pull/15224)\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n## About this workflow\n\n**Key inputs**\n\n- **prompt**: describe the shots, camera moves, and the accompanying audio (dialogue, SFX, music) in one block\n- **width / height**: set via Resolution Selector. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps\n"
33
+ ],
34
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35
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36
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+ "For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced.\n\nintegrated_multimodal_description: [Shot 1] Photorealistic high-definition wildlife documentary footage in a premium National Geographic-style macro aesthetic. The chameleon shown in <Picture 1> remains on the same wet moss-covered branch, preserving its body shape, large turreted eye, textured scales, droplets of water, and the surrounding rainforest foliage. It begins slowly walking forward along the branch with deliberate, realistic stepping, gripping the bark one foot at a time while its body sways subtly and its tail balances naturally behind it. As it moves, its skin gradually shifts through different vivid chameleon colours in a smooth natural sequence: starting with its existing green patterning, then blending into brighter emerald and lime tones, followed by patches of turquoise, yellow, orange, and deeper red accents, before subtly returning to a rich multicoloured green by the end. The colour changes should ripple gently across the scales rather than flicker, appearing organic and biologically believable. Water droplets on its face and crest tremble and occasionally slide as it moves. Its eye rotates independently and makes small, observant movements while the mouth and facial structure remain unchanged. The camera performs an extremely smooth macro tracking shot with small amplitude at slow speed, staying close to the chameleon's head and front body while maintaining sharp focus on the nearest eye and face. Use crisp 4K wildlife detail, realistic moisture, soft diffused rainforest daylight, shallow cinematic depth of field, creamy green background bokeh, and gentle foreground foliage blur. The movement remains calm and unhurried throughout, ending with the chameleon still slowly advancing along the branch as its final colours glow richly against the blurred jungle background.\n\noverall_soundscape: Quiet rainforest ambience with faint birds, soft insects, light dripping water, and gentle leaf rustling. Subtle wet contact sounds accompany the chameleon's feet gripping and releasing from the mossy branch, with tiny droplets occasionally falling.\n\nnon_diegetic_music: N/A",
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+ "## Model Links\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_fp16.safetensors\n│ │ └── minimax_h3_audio_vae_fp32.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── minimax_h3_fl2va_pruned_int8_convrot.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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+ "subject_definitions:\n<Subject 1> is the young male barber in <Picture 2>, preserving his short dark curly hair, neatly shaped beard, black barber shirt, focused expression, and calm professional manner. He works with gentle, sensitive, highly controlled movements and uses one small hand-held spray bottle, thin dainty precision scissors, a soft brush, and a small handheld mirror.\n\n<Subject 2> is the seagull in <Picture 1> and <Picture 2>, preserving its white-and-grey feathers, yellow beak, alert round eyes, and black barber cape. Its hair begins long, wild, tangled, and uneven like <Picture 1>, then gradually becomes the soft, neat, rounded, suave hairstyle shown in <Picture 2>. The seagull remains calm, comfortable, and completely unharmed. During the haircut it occasionally blinks and often keeps its eyes semi-closed as if enjoying the relaxing treatment.\n\n<Subject 3> is the modern dark barbershop from the reference images, featuring black walls, mirrors, professional lighting, barber tools, and a clean cinematic atmosphere.\n\nsummary:\n[reference generation] The target video is an exactly 18-second photorealistic comedic ASMR haircut sequence. <Subject 1> gently approaches <Subject 2>, lightly wets the messy hair using one spray bottle, and then slowly trims only the tips of the longer wet strands using thin dainty precision scissors. A tasteful time-lapse montage shows him moving around the chair and refining different sections little by little. He lightly re-wets the hair once more, uses only a very small subtle dusting of powder, then softly brushes the finished hairstyle until it looks smooth, bouncy, and suave, finally holding a mirror up for the seagull to admire the result.\n\nretention_analysis:\n<Subject 1> (appears throughout after entering): fully_preserved - retain the barber’s identity, hairstyle, beard, black clothing, delicate professional handling, and calm gentle behaviour.\n\n<Subject 2> (appears throughout): fully_preserved - retain the seagull’s identity, feathers, beak, eyes, cape, and natural anatomy while transforming only the hairstyle from wild and overgrown to neat, rounded, bouncy, and suave.\n\n<Subject 3> (appears throughout): fully_preserved - maintain the dark modern barbershop, mirrors, tools, lighting, and realistic depth.\n\ndetailed_description:\nThe target video uses a photorealistic cinematic ASMR style with shallow depth of field, crisp macro detail, natural professional barber movements, gentle comedy, and no dialogue or background music. Do not use electric clippers.\n\n[Shot 1] The video opens on <Subject 2> sitting alone beneath the black barber cape with extremely wild, long, uneven hair sticking out in every direction, matching <Picture 1>. The seagull blinks calmly. <Subject 1> then steps into frame behind the chair holding one small spray bottle and a pair of thin, delicate barber scissors.\n\n[Shot 2] At 00:02.000, cut to a tight close-up as <Subject 1> gently wets the hair using the single spray bottle. He gives two or three soft, separate squirts, each one light and controlled rather than harsh or excessive. Droplets settle into the hair, making it visibly damp and easier to shape. The seagull slowly lowers its eyelids, appearing relaxed.\n\n[Shot 3] At 00:04.000, cut to an ultra-close macro shot of the thin scissor tips. The barber trims only the very ends of the wet longer strands. The pace is slow, sensitive, and precise, like a real careful barber doing finishing work: snip... pause... snip... pause... snip. The blades are slim and dainty, never bulky. The camera stays tightly focused on the scissor tips, fingertips, wet strands, and tiny cut ends falling softly. The sound of the scissors cutting damp hair is crisp, intimate, and relaxing.\n\n[Shot 4] At 00:07.000, begin a smooth time-lapse montage. <Subject 1> moves naturally around both sides and behind the seagull, gently lifting sections, trimming tiny amounts from different areas, checking the shape, and refining the outline little by little. The seagull remains still with its eyes semi-closed, occasionally blinking as if enjoying the pampering. The messy hairstyle gradually becomes more balanced, rounded, and stylish.\n\n[Shot 5] At 00:11.000, during the time-lapse, the barber lightly re-wets the hair again with the same spray bottle using one or two soft squirts, then continues making tiny slow finishing snips. He never removes too much at once. The hairstyle becomes smooth, soft, and refined rather than short or overly cut.\n\n[Shot 6] At 00:13.500, return to normal speed in a close macro angle. <Subject 1> applies only a very small, subtle puff of barber powder, just enough to lightly dust the hair without creating a large cloud. He then gently brushes away any loose strands with a soft barber brush.\n\n[Shot 7] At 00:15.000, a close front angle shows the barber brushing and styling the hair with soft controlled strokes. The hair settles into a clean, rounded, suave shape with a soft bounce. The seagull’s eyes remain partially closed, calm and content.\n\n[Shot 8] At 00:17.000, <Subject 1> holds a small handheld mirror in front of <Subject 2>. The seagull looks at its reflection, opens its eyes, gives one slow satisfied blink, and subtly lifts its head with a proud expression. The barber smiles behind it as the finished hairstyle gives one final soft bouncy settle. End exactly at 00:18.000.\n\noverall_soundscape:\nDetailed close-range relaxing ASMR audio: soft trigger-sound spray bottle squirts from a single bottle, water settling into hair, extremely crisp slow scissor snips, the delicate sound of thin scissors cutting wet hair, faint hair strands falling, gentle barber hand movement, light brushing, a very soft minimal powder puff, feather rustling, cape fabric movement, quiet mirror handling, and subtle low barbershop room tone. Keep the audio intimate, soothing, and highly synchronized.\n\nnon_diegetic_music:\nN/A",
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+ "title": "Note: Model Links",
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+ "## Model Links\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_fl2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ ├── minimax_h3_video_vae_fp16.safetensors\n│ │ └── minimax_h3_audio_vae_fp32.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── minimax_h3_fl2va_pruned_int8_convrot.safetensors\n│ └── 📂 text_encoders/\n│ └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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+ "id": 116,
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+ "type": "MarkdownNote",
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+ ],
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+ "title": "Note: MiniMax H3",
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+ "## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## About this workflow\n\nThis template runs the **Image to Video** task (`MiniMaxH3ImageToVideo` node), which covers both:\n\n- **t2va** (text-to-video), when no images are connected\n- **fl2va** (first/last-frame image-to-video), when `first_frame` and/or `last_frame` are connected\n\n**Key inputs**\n\n- **first_frame / last_frame**: optional keyframes; the model generates the motion between them\n- **prompt**: describe the shots, motion, and the accompanying audio (dialogue, SFX, music) in one block\n- **width / height**: set via Resolution Selector. H3's native canvas is a 768px short edge, capped at 768x1344 pixels, rounded to a multiple of 32\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node, snapping up to the model's 17-frame-per-block (17k+5) grid at 24fps"
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