pec-bounce/metadata.json

{
  "name": "Pec Bounce",
  "slug": "pec-bounce",
  "base_model": "LTX-2.3",
  "media_type": "video",
  "model_id": 2111254,
  "version_id": 2909810,
  "version_name": "LTX 2.3",
  "source": "civitai",
  "url": "https://civitai.com/models/2111254",
  "repo_id": null,
  "file_path": null,
  "author": "cruffsant461",
  "category": {
    "key": "accelerator",
    "label": "Speed / step-reduction"
  },
  "modalities": [],
  "primary_modality": "unspecified",
  "checkpoint_family": "unknown",
  "trigger_words": [
    "does a pec bounce"
  ],
  "recommended_settings": {
    "LoRA strength": "0.6",
    "Sampler steps": "5",
    "CFG / guidance": "1.5",
    "Sampler": "Euler Simple"
  },
  "chaining": {
    "author": {
      "stacks": "not stated",
      "notes": "",
      "avoid": [],
      "requires": [],
      "order": "",
      "strength": "",
      "stated": false
    },
    "general_rules": [
      "Stacking an acceleration LoRA with a task LoRA is officially sanctioned: the ID-LoRA template chains LoraLoaderModelOnly(ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16, 0.5) into LoraLoaderModelOnly(ltx-2.3-id-lora-talkvid-3k, 1.0) on the dev checkpoint.",
      "The Python CLI exposes `--lora <path> [strength]` as a repeatable flag with default strength 1.0, so multiple adapters at once is a supported configuration, not a hack.",
      "Load the acceleration/distilled LoRA on the dev checkpoint only. The two-stage pipelines require it for the full model but explicitly do not use it for DistilledPipeline, ICLoraPipeline or DubItPipeline, which already run distilled weights.",
      "Do not stack two distillation LoRAs (e.g. the official rank-384 / rank-111 one plus a community DMD LoRA). The DaSiWa DMD LoRA already blends 75-80% of the official distilled delta into its audio-output route and is described by its author as recreating the distilled model on top of stock dev, i.e. a replacement.",
      "IC-LoRAs are not chained like ordinary LoRAs: each carries a reference_downscale_factor in its safetensors metadata and needs a node that reads it (GetICLoRAParameters -> LTXVAddGuide in core, or LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide in ComfyUI-LTXVideo). Without one the factor silently defaults to 1.",
      "Two IC-LoRA reference guides can be driven from a single IC-LoRA: the CrossView Warp author wires both a depth-warp video and the original video into separate reference guides and sets latent_downscale_factor = 1 on both.",
      "DubItPipeline accepts exactly one Dub-It IC-LoRA (`--lora` exactly once) and applies it in both stages — that path is single-adapter by design.",
      "Community convention on strengths when stacking: the IC-LoRA Dual-Character author recommends 0.6-1.0 for a content LoRA used alone, dropped to 0.3-0.5 when combined with others.",
      "Some LoRA pairs are designed to be blended against each other — the LTX 2.3 Crisp Enhance / Soft Enhance pair is described by its author as \"can be used together and balanced at different strengths\".",
      "The gemma-3-12b-it-abliterated LoRA is not a video LoRA and does not belong in the DiT chain — it patches the Gemma text encoder through a model+clip LoraLoader, as the official templates wire it.",
      "The step-reduction adapter for LTX-2.3 is first-party. Lightricks publishes ltx-2.3-22b-distilled-lora-384.safetensors and ltx-2.3-22b-distilled-lora-384-1.1.safetensors (rank 384, 7.61 GB each, verified from the HF file listing), described in the model card as \"A LoRA version of the distilled model applicable to the full model\" — apply it to ltx-2.3-22b-dev and the model runs the distilled 8-step, CFG=1 schedule. Comfy-Org additionally ships a dynamically rank-reduced repack, ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors (2.74 GB), and this is the file every offic",
      "The author never states which weight family this targets. Within LTX-2.3, dev vs distilled is low risk: they are the same architecture and the distillation itself is published as a LoRA that the model card calls \"applicable to the full model\", so ordinary content LoRAs load on both. Expect style/strength drift rather than breakage; the"
    ]
  },
  "pros": [
    "Well established — 1,413 downloads. [source: CivitAI stats]",
    "Positively received — 113 thumbs-up with no down-votes. [source: CivitAI stats]",
    "Explicit trigger word(s) — does a pec bounce — so the effect can be turned on and off from the prompt. [source: model metadata]",
    "Author published concrete recommended settings. [source: description]"
  ],
  "cons": [
    "Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description]",
    "Large at 643 MB — slower to load and heavier to stack. [source: file size]"
  ],
  "file": {
    "name": "ltx-pec-bounce_000004500.safetensors",
    "size_bytes": 674249568,
    "size_mb": 643.01,
    "sha256": "3bd93e550f301dee5eb7115fe6e3dfb671f7f0ebe9ec00d565a2af7b0ca8439f"
  },
  "stats": {
    "downloads": 1413,
    "thumbs_up": 113,
    "thumbs_down": 0
  },
  "popularity": {
    "downloads": 1413,
    "thumbs_up": 113,
    "thumbs_down": 0,
    "comments": 0,
    "approval": "100% positive (113/113)",
    "age_days": 126.3,
    "downloads_per_day": 2.37,
    "rank_by_downloads": 33,
    "rank_by_momentum": 93,
    "of_total": 150,
    "adoption_tier": "High",
    "momentum": "Long tail"
  },
  "selection_score": 3169.0,
  "selection_reasons": [
    "1,413 downloads",
    "113 thumbs-up",
    "documented triggers + usage notes",
    "top-ranked for its category"
  ],
  "example_media": [],
  "tags": [
    "concept",
    "muscle",
    "flex"
  ],
  "scraped_at": "2026-09-04T23:15:09+00:00",
  "path": "ltxv-2.3/pec-bounce"
}