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Browse files- KITANNA_AI2V_runpod2.json +1 -0
- KITANNA_AI2V_runpod2_API.json +902 -0
KITANNA_AI2V_runpod2.json
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|
KITANNA_AI2V_runpod2_API.json
ADDED
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@@ -0,0 +1,902 @@
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| 1 |
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{
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| 2 |
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"153": {
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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"268",
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| 7 |
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0
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| 8 |
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| 9 |
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| 10 |
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"164",
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| 11 |
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0
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| 12 |
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| 13 |
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| 14 |
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"164",
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| 15 |
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1
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| 16 |
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| 17 |
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| 18 |
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"class_type": "CFGGuider",
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| 19 |
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| 20 |
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"title": "CFG Гид"
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| 21 |
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}
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| 22 |
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},
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| 23 |
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"154": {
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| 24 |
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"inputs": {
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| 25 |
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"sampler_name": "lcm"
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| 26 |
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},
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| 27 |
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"class_type": "KSamplerSelect",
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| 28 |
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"_meta": {
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| 29 |
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"title": "Выбор KSampler"
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| 30 |
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}
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| 31 |
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},
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| 32 |
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| 33 |
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"inputs": {
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| 34 |
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"text_encoder": "gemma_3_12B_it_fp4_mixed.safetensors",
|
| 35 |
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"ckpt_name": "ltx-2-19b-distilled_new.safetensors",
|
| 36 |
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"device": "cpu"
|
| 37 |
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},
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| 38 |
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"class_type": "LTXAVTextEncoderLoader",
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| 39 |
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"_meta": {
|
| 40 |
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"title": "LTXV Загрузчик аудио-текстового энкодера"
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| 41 |
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}
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| 42 |
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},
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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0
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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0
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| 52 |
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| 53 |
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"sampler": [
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| 54 |
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"154",
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| 55 |
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0
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| 56 |
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],
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| 57 |
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| 58 |
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"238",
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| 59 |
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0
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| 60 |
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],
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| 61 |
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"latent_image": [
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| 62 |
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"166",
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| 63 |
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0
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| 64 |
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]
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| 65 |
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},
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| 66 |
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"class_type": "SamplerCustomAdvanced",
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| 67 |
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"_meta": {
|
| 68 |
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"title": "Пользовательский сэмплер (Расширенный)"
|
| 69 |
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}
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| 70 |
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},
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| 71 |
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"162": {
|
| 72 |
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"inputs": {
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| 73 |
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"width": [
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| 74 |
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"281",
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| 75 |
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3
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| 76 |
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],
|
| 77 |
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"height": [
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| 78 |
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"281",
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| 79 |
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4
|
| 80 |
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],
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| 81 |
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| 82 |
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"322",
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| 83 |
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0
|
| 84 |
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],
|
| 85 |
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|
| 86 |
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},
|
| 87 |
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"class_type": "EmptyLTXVLatentVideo",
|
| 88 |
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"_meta": {
|
| 89 |
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"title": "Пустой LTXVLatentVideo"
|
| 90 |
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}
|
| 91 |
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},
|
| 92 |
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"164": {
|
| 93 |
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"inputs": {
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| 94 |
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| 95 |
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"323",
|
| 96 |
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0
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| 97 |
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],
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| 98 |
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| 99 |
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"169",
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| 100 |
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0
|
| 101 |
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],
|
| 102 |
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| 103 |
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"356",
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| 104 |
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0
|
| 105 |
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]
|
| 106 |
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},
|
| 107 |
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"class_type": "LTXVConditioning",
|
| 108 |
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"_meta": {
|
| 109 |
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"title": "Кондиционирование LTXV"
|
| 110 |
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}
|
| 111 |
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},
|
| 112 |
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"166": {
|
| 113 |
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"inputs": {
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| 114 |
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| 115 |
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"239",
|
| 116 |
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0
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| 117 |
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],
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| 118 |
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| 119 |
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"248",
|
| 120 |
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0
|
| 121 |
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]
|
| 122 |
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},
|
| 123 |
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|
| 124 |
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"_meta": {
|
| 125 |
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"title": "LTXVConcatAVLatent"
|
| 126 |
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}
|
| 127 |
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},
|
| 128 |
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"169": {
|
| 129 |
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"inputs": {
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| 130 |
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"text": "Ultra-realistic, medium close-up shot of a woman, framed from the mid-chest up. She appears to be genuinely connecting with the viewer, speaking with empathy and sincerity. Her performance is grounded in naturalistic, spontaneous human behavior: she makes micro-adjustments to her posture, offers minimal soft gestures near the collarbone, and occasionally tucks a strand of hair behind her ear. The articulation is phonetically hyper-accurate: every labial plosive produces a distinct, soft compression of the lips; fricatives cause a subtle flutter of the lower lip; sibilants trigger a micro-tensing of the corners of the mouth. Synchronization with the audio is seamless and organic — matching not only words but the exact moment of breath intake, vocal fry, and post-phrase lip relaxation. The mouth and lips move with exquisite anatomical precision — the upper lip lifts gently during vowels, the lower lip tucks slightly on consonants, and the corners of the mouth shift asymmetrically with emotional nuance. The philtrum stretches and compresses naturally in rhythm with speech. The orbicularis oris shows subtle contraction waves during vowel elongation and softens instantly during pauses. Surrounding micro-mimicry is fully active: gentle plumping of the buccinators during internal pauses, fractional dimpling of the chin, micro-lifts of the nasolabial folds during suppressed smiles, and asynchronous micro-twitches of the upper lip during cognitive pauses. The nostrils flare faintly on inhales. The skin reacts realistically to every movement — faint compression shadows form beside the nostrils during cheek adjustments, light catches the moisture line of the lower lip during speech, and fine lines around the mouth deepen and release naturally. Her eyes convey genuine thought — they soften, focus, and glisten with subtle emotional shifts, accompanied by natural, asymmetrical blinks. Her head is never locked in place; it moves with the organic randomness of a real person. To emphasize a point, she gives a slight, definitive nod. During thoughtful pauses, she tilts her head gently to the side, as if weighing her words. She occasionally turns her face two or three degrees off-axis, breaking the plane with the viewer, before softly correcting back to center — as if reacting to an internal thought or an imagined off-camera presence. At moments of vulnerability, she dips her chin slightly, looking up through her lashes, then returns to a confident, direct gaze. These naturalistic head adjustments sync with her breath and speech cadence, making the performance feel unscripted and deeply human. Shot on a Cooke cinematic lens, shallow depth of field. Strictly preserve the original background from the source image without any changes — do not replace or generate a new background. Maintain the exact same environment, setting, and lighting atmosphere as the input footage, ensuring the original background remains unaltered. Soft key light wraps the contours of her face and upper body, ensuring she remains the focal point while the background stays true to the source.",
|
| 131 |
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"clip": [
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| 132 |
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"155",
|
| 133 |
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0
|
| 134 |
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]
|
| 135 |
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|
| 136 |
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| 137 |
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|
| 138 |
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"title": "Кодирование текста CLIP (Запрос)"
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| 139 |
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}
|
| 140 |
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|
| 141 |
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"171": {
|
| 142 |
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"inputs": {
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| 143 |
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"ckpt_name": "ltx-2-19b-distilled_new.safetensors"
|
| 144 |
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},
|
| 145 |
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| 146 |
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|
| 147 |
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"title": "LTXV Загрузчик аудио VAE"
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| 148 |
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}
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| 149 |
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| 150 |
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"178": {
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| 151 |
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| 152 |
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| 153 |
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},
|
| 154 |
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| 155 |
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"_meta": {
|
| 156 |
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"title": "Случайный шум"
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| 157 |
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}
|
| 158 |
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},
|
| 159 |
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"184": {
|
| 160 |
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"inputs": {
|
| 161 |
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"ckpt_name": "ltx-2-19b-distilled_new.safetensors"
|
| 162 |
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},
|
| 163 |
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"class_type": "CheckpointLoaderSimple",
|
| 164 |
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"_meta": {
|
| 165 |
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"title": "Загрузить сheckpoint"
|
| 166 |
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}
|
| 167 |
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},
|
| 168 |
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"190": {
|
| 169 |
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"inputs": {
|
| 170 |
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|
| 171 |
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"loop_count": 0,
|
| 172 |
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"filename_prefix": "LTX-2",
|
| 173 |
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"format": "video/h264-mp4",
|
| 174 |
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"pix_fmt": "yuv420p",
|
| 175 |
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"crf": 20,
|
| 176 |
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|
| 177 |
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|
| 178 |
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"pingpong": false,
|
| 179 |
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"save_output": false,
|
| 180 |
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"images": [
|
| 181 |
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"278",
|
| 182 |
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0
|
| 183 |
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],
|
| 184 |
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"audio": [
|
| 185 |
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"333",
|
| 186 |
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0
|
| 187 |
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]
|
| 188 |
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},
|
| 189 |
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"class_type": "VHS_VideoCombine",
|
| 190 |
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"_meta": {
|
| 191 |
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"title": "Video Combine 🎥🅥🅗🅢"
|
| 192 |
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}
|
| 193 |
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},
|
| 194 |
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"234": {
|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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0
|
| 203 |
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| 204 |
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| 205 |
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| 206 |
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2
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| 207 |
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|
| 208 |
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|
| 209 |
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| 210 |
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|
| 211 |
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"title": "Декодировать VAE (плитками)"
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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"268",
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| 221 |
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0
|
| 222 |
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]
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| 223 |
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| 224 |
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"class_type": "BasicScheduler",
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| 225 |
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"_meta": {
|
| 226 |
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"title": "Основной scheduler"
|
| 227 |
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|
| 228 |
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| 229 |
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"239": {
|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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| 234 |
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"184",
|
| 235 |
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2
|
| 236 |
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],
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| 237 |
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| 238 |
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"269",
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| 239 |
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0
|
| 240 |
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],
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| 241 |
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| 242 |
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"162",
|
| 243 |
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0
|
| 244 |
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]
|
| 245 |
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},
|
| 246 |
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"class_type": "LTXVImgToVideoInplace",
|
| 247 |
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"_meta": {
|
| 248 |
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"title": "LTXVImgToVideoInplace"
|
| 249 |
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}
|
| 250 |
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},
|
| 251 |
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"240": {
|
| 252 |
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"inputs": {
|
| 253 |
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"image": "face1.duplicate.png"
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| 254 |
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},
|
| 255 |
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"class_type": "LoadImage",
|
| 256 |
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"_meta": {
|
| 257 |
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"title": "Загрузить изображение"
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| 258 |
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}
|
| 259 |
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},
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| 260 |
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"242": {
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| 261 |
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| 262 |
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| 263 |
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"271",
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| 264 |
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0
|
| 265 |
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],
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| 266 |
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| 267 |
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"171",
|
| 268 |
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0
|
| 269 |
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]
|
| 270 |
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},
|
| 271 |
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"class_type": "LTXVAudioVAEEncode",
|
| 272 |
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"_meta": {
|
| 273 |
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"title": "LTXV Кодирование аудио VAE"
|
| 274 |
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}
|
| 275 |
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},
|
| 276 |
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"243": {
|
| 277 |
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"inputs": {
|
| 278 |
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"audio": "zonos_ru.wav",
|
| 279 |
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"audioUI": "/api/view?filename=zonos_ru.wav&type=input&subfolder=&rand=0.3456651902616471"
|
| 280 |
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},
|
| 281 |
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"class_type": "LoadAudio",
|
| 282 |
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"_meta": {
|
| 283 |
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"title": "Загрузить аудио"
|
| 284 |
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}
|
| 285 |
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},
|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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"161",
|
| 290 |
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0
|
| 291 |
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]
|
| 292 |
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},
|
| 293 |
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"class_type": "LTXVSeparateAVLatent",
|
| 294 |
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"_meta": {
|
| 295 |
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"title": "LTXVSeparateAVLatent"
|
| 296 |
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}
|
| 297 |
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},
|
| 298 |
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|
| 299 |
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| 300 |
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| 301 |
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"242",
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| 302 |
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0
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| 303 |
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| 304 |
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| 306 |
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0
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|
| 309 |
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"class_type": "SetLatentNoiseMask",
|
| 310 |
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"_meta": {
|
| 311 |
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"title": "Установить маску шума латента"
|
| 312 |
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}
|
| 313 |
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},
|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 319 |
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3
|
| 320 |
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|
| 321 |
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"281",
|
| 323 |
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4
|
| 324 |
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|
| 325 |
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},
|
| 326 |
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|
| 327 |
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"_meta": {
|
| 328 |
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"title": "Сплошная маска"
|
| 329 |
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}
|
| 330 |
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},
|
| 331 |
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|
| 332 |
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"inputs": {
|
| 333 |
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|
| 334 |
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|
| 335 |
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| 336 |
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"360",
|
| 337 |
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0
|
| 338 |
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| 339 |
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},
|
| 340 |
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"class_type": "PathchSageAttentionKJ",
|
| 341 |
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"_meta": {
|
| 342 |
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"title": "Patch Sage Attention KJ"
|
| 343 |
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}
|
| 344 |
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},
|
| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
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| 349 |
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"281",
|
| 350 |
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0
|
| 351 |
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]
|
| 352 |
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},
|
| 353 |
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"class_type": "LTXVPreprocess",
|
| 354 |
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"_meta": {
|
| 355 |
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| 766 |
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| 768 |
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| 769 |
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| 771 |
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| 772 |
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| 773 |
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"title": "Кодирование текста CLIP (Запрос)"
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| 774 |
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| 775 |
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| 776 |
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| 778 |
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| 785 |
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| 786 |
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|
| 787 |
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"title": "Загрузчик LoRA (Только модель)"
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| 788 |
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| 789 |
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| 799 |
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| 800 |
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| 801 |
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"title": "Предпросмотр любого"
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| 802 |
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|
| 803 |
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| 805 |
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| 806 |
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| 807 |
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| 808 |
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| 810 |
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| 811 |
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| 812 |
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|
| 813 |
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| 814 |
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|
| 815 |
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"title": "Загрузчик LoRA (Только модель)"
|
| 816 |
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}
|
| 817 |
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| 818 |
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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| 824 |
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| 825 |
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| 826 |
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|
| 827 |
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| 828 |
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|
| 829 |
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"title": "Загрузчик LoRA (Только модель)"
|
| 830 |
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|
| 831 |
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| 832 |
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| 833 |
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| 834 |
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| 835 |
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| 836 |
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| 837 |
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| 840 |
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| 841 |
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| 844 |
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| 845 |
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| 847 |
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| 848 |
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|
| 849 |
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| 850 |
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|
| 851 |
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| 852 |
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| 853 |
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| 854 |
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| 856 |
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| 857 |
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"class_type": "JWImageResizeToSquare",
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| 858 |
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"_meta": {
|
| 859 |
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"title": "Image Resize to Square"
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| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 866 |
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| 869 |
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"class_type": "LTX2MemoryEfficientSageAttentionPatch",
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| 870 |
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"_meta": {
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| 871 |
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"title": "LTX2 Mem Eff Sage Attention Patch"
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| 872 |
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| 873 |
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},
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| 874 |
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| 875 |
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"inputs": {
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| 877 |
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| 878 |
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| 880 |
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0
|
| 881 |
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| 882 |
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|
| 883 |
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"class_type": "PathchSageAttentionKJ",
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| 884 |
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"_meta": {
|
| 885 |
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"title": "Patch Sage Attention KJ"
|
| 886 |
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}
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| 887 |
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| 888 |
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| 889 |
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| 890 |
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| 891 |
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| 894 |
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| 897 |
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"class_type": "TensorParallelV3Node",
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| 898 |
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"_meta": {
|
| 899 |
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"title": "Tensor Parallel V3 (Safe FFN Chunking)"
|
| 900 |
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}
|
| 901 |
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}
|
| 902 |
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}
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