Add Airbag Deploy

.gitattributes

@@ -187,3 +187,12 @@ ltx-2-3-180-degree-vr-video/example_images/05_poster.jpg filter=lfs diff=lfs mer
 ltx-2-3-180-degree-vr-video/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
 ltx-2-3-180-degree-vr-video/example_images/06_poster.jpg filter=lfs diff=lfs merge=lfs -text
 ltx-2-3-180-degree-vr-video/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/01_video.mp4 filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/02_poster.jpg filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/02_video.mp4 filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
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+airbag-deploy/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/06_poster.jpg filter=lfs diff=lfs merge=lfs -text
+airbag-deploy/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text

airbag-deploy/0-AirbagCrash_Realistic.safetensors

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airbag-deploy/example_images/01_video.mp4

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airbag-deploy/example_images/02_video.mp4

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airbag-deploy/example_images/04_video.mp4

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airbag-deploy/example_images/06_video.mp4

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airbag-deploy/info.txt

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+═══════════════════════════════════════════════════════════════════════════════
+  AIRBAG DEPLOY
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   not declared by the author
+  Checkpoint        not determined — verify before use
+  Category          Physical effect / transformation
+  Author            AirbagGuy
+  Source            https://civitai.com/models/1901787
+  Provenance        CivitAI · model 1901787 · version 2902608
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              0-AirbagCrash_Realistic.safetensors
+  Version           Airbag Crash - Realistic
+  Size              643.0 MB
+  Format            SafeTensor / unknown precision
+  SHA256            b82ada8491d4dd4891a722da83ba618fd9ef869b0a1afa701e0566b8344cfa3b
+  Published         2026-04-29
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  › "Airbag"
+  › "crash"
+  › "car"
+
+───────────────────────────────────────────────────────────────────────────────
+  RECOMMENDED SETTINGS
+───────────────────────────────────────────────────────────────────────────────
+  The author did not publish specific settings.
+  No author settings were published. Community baseline: steps Distilled path
+  (all six official ComfyUI LTX-2.3 templates): 8 steps in stage 1 driven by
+  an explicit ManualSigmas list "1.0, 0.99375, 0.9875, 0.98125, 0.975,
+  0.909375, 0.725, 0.421875, 0.0", then 3 steps in the stage-2 refine after
+  the x2 latent upscale ("0.85, 0.7250, 0.4219, 0.0") — verified by reading
+  the template JSONs. The ic_lora template instead uses a plain KSampler at 8
+  steps. The Python DistilledPipeline is documented as "8 predefined sigmas
+  (8 steps in stage 1, 4 steps in stage 2)". Full/dev model with real
+  guidance: Lightricks' own single-stage example workflow sets LTXVScheduler
+  to 15 steps., cfg 1.0 for anything running the distilled checkpoint or the
+  distilled LoRA — CFGGuider is set to 1 in both stages of every official
+  ComfyUI template (verified in the JSONs), the ic_lora template's KSampler
+  is cfg 1, and a note in Lightricks' own two- stage workflow reads "Do
+  explore various samplers and cfg values (although we advise them to be kept
+  close to 1)". For the guided full-model path, Lightricks' single-stage
+  workflow uses MultimodalGuider with per-modality GuiderParameters: VIDEO
+  cfg 3 (rescale 0.9), AUDIO cfg 7 (rescale 0.7). Treat 3 as the video anchor
+  since that is the official value., sampler euler with SamplerCustomAdvanced
+  + ManualSigmas is the default in the ComfyUI templates; the flf2v template
+  uses SamplerEulerAncestral and the ic_lora template a plain KSampler with
+  euler_ancestral + linear_quadratic. Lightricks' own example workflows use
+  euler_ancestral_cfg_pp (single stage) and euler_cfg_pp (two stage).
+  TI2VidTwoStagesHQPipeline swaps in the second-order res_2s sampler for
+  fewer steps., resolution Generate low, then upscale. ComfyUI templates set
+  EmptyLTXVLatentVideo to 768x512 / 97 frames and target 1280x720 (with a
+  1920x1088 resize and a 1536-long-edge resize in the chain), using
+  LTXVLatentUpsampler with ltx-2.3-spatial- upscaler-x2-1.1.safetensors.
+  Lightricks' own example workflows use 960x544 / 121 frames with the same x2
+  upscaler. Hard constraints from the model card: width and height must be
+  divisible by 32, and frame count must be divisible by 8 plus 1 (97, 121,
+  193...). Frame rate: LTXVConditioning is 24 in the t2v/id_lora templates
+  and 25 in the ic_lora/flf2v templates; CreateVideo is 24 in the ComfyUI
+  templates. The x2 temporal upscaler is described in the model card as being
+  for higher FPS., lora_strength Official distilled/acceleration LoRA: 0.5 in
+  every ComfyUI template (LoraLoaderModelOnly), 0.5 plus a 0.2 second branch
+  in Lightricks' single- stage example workflow, and 0.8 in the ltx-pipelines
+  README/installation CLI example (--distilled-lora <path> 0.8). Official IC-
+  LoRA Union-Control and ID-LoRA: 1.0 in the templates. Community norm for
+  content/style LoRAs: the IC-LoRA Dual-Character author states 0.6-1.0 used
+  alone, dropped to 0.3-0.5 when stacked with other LoRAs..
+
+───────────────────────────────────────────────────────────────────────────────
+  ADOPTION & POPULARITY
+───────────────────────────────────────────────────────────────────────────────
+  Downloads               2,248
+  Rating                  100% positive (89/89)
+  Comments                0
+  Published               129 days ago
+  Download rate           1.6/day since release
+
+  Adoption rank           #18 of 150 in this collection  (High)
+  Momentum rank           #108 of 150 by download rate  (Long tail)
+
+  Adoption tier is the percentile of total downloads within this collection;
+  momentum is the percentile of downloads-per-day since release. Momentum is
+  ranked rather than measured against a fixed rate, because this base model
+  is itself new and every LoRA looks fast on an absolute scale. Both numbers
+  are CivitAI's, read on the scrape date at the foot of this file.
+
+───────────────────────────────────────────────────────────────────────────────
+  CHAINING / STACKING
+───────────────────────────────────────────────────────────────────────────────
+  Stacks with others      not stated
+
+  The author gave no chaining guidance. The rules below are the
+  general LTX-2.3 ones, not anything specific to this LoRA.
+
+  General LTX-2.3 rules that apply here (see REFERENCE.txt):
+
+  • 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 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 — 2,248 downloads. [source: CivitAI stats]
+  + Positively received — 89 thumbs-up with no down-votes. [source: CivitAI
+    stats]
+  + Explicit trigger word(s) — Airbag, crash, car — so the effect can be
+    turned on and off from the prompt. [source: model metadata]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  - 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]
+
+───────────────────────────────────────────────────────────────────────────────
+  COMPATIBILITY WARNING
+───────────────────────────────────────────────────────────────────────────────
+  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
+  distilled LoRA is meant to be applied to a dev checkpoint, not stacked on
+  an already-distilled one (the Python pipelines that start from a distilled
+  checkpoint — DistilledPipeline, ICLoraPipeline, DubItPipeline — explicitly
+  do not take --distilled-lora). The genuine risk is cross-version and cross-
+  format, and it is silent rather than a hard error: the LTX-2 repo README
+  states flatly that files "are not interchangeable between the two models,
+  and a LoRA only works with the model it was trained on", and a wrong-
+  version LoRA surfaces only as a stream of "lora key not loaded:
+  diffusion_model...." console warnings while generation proceeds as if no
+  LoRA were attached. The same silent no-op hits correctly-versioned LoRAs
+  saved in a non-ComfyUI key layout: SimpleTuner issue #2349 shows keys like
+  diffusion_model.connectors.audio_connector.transformer_blocks.N.attn1.to_q
+  going unloaded, where the LTX-2 trainer's own layout is attn1/attn2 for
+  video, audio_attn1/audio_attn2 for audio and audio_to_video_attn /
+  video_to_audio_attn for cross-modal. Community finetunes (Sulphur 2, JoyAI-
+  Echo merges) load stock LTX-2.3 LoRAs but shift the result. And an IC-LoRA
+  loaded without a metadata-reading node loses its reference scale: ComfyUI's
+  GetICLoRAParameters reads reference_downscale_factor out of the LoRA's
+  safetensors metadata and silently falls back to 1 when it is absent, so a
+  ref0.5 IC-LoRA wired straight into LTXVAddGuide without it feeds the
+  reference at the wrong latent scale.
+
+───────────────────────────────────────────────────────────────────────────────
+  AUTHOR'S DESCRIPTION
+───────────────────────────────────────────────���───────────────────────────────
+  H3 Version - Combo
+
+  Combines both datasets though I kept them prompted for LTX/Wan. Will redo
+  at some point. But it works as is, fairly straight forward to use.
+  AirbagDeploy is the trigger but you don't really need it. H3 has a good
+  idea of what an airbag is, so keep the strength I'd say no higher than .6.
+  Higher gives you a more explosive deployment but fucks with animation.
+
+  LTX 2.3 - Realistic Version
+  This one was trained using actual crash test and dashcam footage. It
+  creates a realistic crash and deployment, but it does suffer with the
+  "structure" of the airbag. In that it can deploy pretty limp. I recommend
+  pairing it with the "Puffy" version, but turning the weight down on the
+  Puffy version to .1 to .15.
+
+  In fact, the two LTX 2.3 versions pair well together and should be used in
+  conjunction, shifting the weight balance as desired.
+
+  LTX 2.3 Version
+  Best version by far. Prompt for sound and dialog otherwise you'll get
+  music. Works best at .75 strength.
+
+  LTX2 Version This one is pretty straight forward. I don't quite have a
+  handle on how to get quality outputs with LTX2 yet, but the lora does work.
+  It wasn't trained on the sound of an airbag deployment (tried that and it
+  was a nightmare) so you'll have to prompt it. Otherwise it, for some
+  reason, adds in a horror soundtrack.
+
+  The physical motion works great, and the airbags look good. It's versatile
+  and FAR dynamic than the Wan 2.2 loras.
+  Best results at .30-.60 strength. Higher and the sound goes to shit.
+  EDIT: Version 2 works better at higher strengths. It also has a decent
+  deployment sound without much work being done, but I would recommend
+  prompting the sound.
+
+  Version 2
+
+  Version 2 adds more dynamic motion to the character as well as a much
+  faster and consistent bag inflation. It does also work well with post-
+  inflation starting images for airbag interaction. It's pretty versatile and
+  you can have an airbag come out of pretty much anywhere, but it still
+  struggles with front views if a steering wheel is not clearly visible.
+
+  Version 1
+  A lora to add airbag deployment to Wan 2.2. This is separate from my Airbag
+  Hug model for 2.1 but can work in conjunction with it. I'll make a Airbag
+  Hug 2.2 shortly.
+
+  The starting image should, of course, be some one in a car. You can
+  technically do a portrait and the video will shift to them in a car. I
+  don't know how well it works deploying airbags in other settings.
+
+───────────────────────────────────────────────────────────────────────────────
+  EXAMPLE MEDIA
+───────────────────────────────────────────────────────────────────────────────
+  6 preview(s) in ./example_images/ — community results for
+  this LoRA. Videos keep a matching _poster.jpg still frame.
+
+  No prompts are recorded below: CivitAI's public API flags these posts as
+  having generation metadata but does not return it, so the prompts cannot be
+  scraped. Open the model page to read them.
+
+  01_video.mp4  (video, 1216x832)
+      still: 01_poster.jpg
+  02_video.mp4  (video, 1024x1024)
+      still: 02_poster.jpg
+  03_video.mp4  (video, 1024x1024)
+      still: 03_poster.jpg
+  04_video.mp4  (video, 416x608)
+      still: 04_poster.jpg
+  05_video.mp4  (video, 1024x1024)
+      still: 05_poster.jpg
+  06_video.mp4  (video, 1408x768)
+      still: 06_poster.jpg
+
+───────────────────────────────────────────────────────────────────────────────
+  HOW TO USE (COMFYUI)
+───────────────────────────────────────────────────────────────────────────────
+  1. Update ComfyUI. LTX-2.3 is supported in ComfyUI core
+  (comfy_extras/nodes_lt.py provides EmptyLTXVLatentVideo, LTXVAddGuide,
+  GetICLoRAParameters, LTXVConditioning, LTXVScheduler,
+  LTXVConcatAVLatent/LTXVSeparateAVLatent, LTXVReferenceAudio and more) and
+  the six official templates need no custom nodes; install the Lightricks
+  "ComfyUI-LTXVideo" custom node pack only if you want IC-LoRA loaders, low-
+  VRAM loaders, HDR decode, audio-only nodes or Q8 nodes.
+  2. Put the base checkpoint in ComfyUI/models/checkpoints/ —
+  ltx-2.3-22b-dev-fp8.safetensors (29.15 GB) or ltx-2.3-22b-distilled-
+  fp8.safetensors (29.53 GB) from Lightricks/LTX-2.3-fp8, or the bf16
+  originals (46.15 GB) from Lightricks/LTX-2.3. It is a single file that also
+  carries the video VAE, the audio VAE and the text projection.
+  3. Put gemma_3_12B_it_fp4_mixed.safetensors in
+  ComfyUI/models/text_encoders/ (from Comfy-Org/ltx-2). The Python package
+  instead wants the full google/gemma-3-12b-it-qat-q4_0-unquantized folder.
+  4. Put ltx-2.3-spatial-upscaler-x2-1.1.safetensors in
+  ComfyUI/models/latent_upscale_models/ (needed by every two-stage template),
+  and moge_2_vitl_normal_fp16.safetensors (Comfy-Org/MoGe) in
+  ComfyUI/models/geometry_estimation/ if you use the IC-LoRA depth path.
+  5. Put every LoRA .safetensors in ComfyUI/models/loras/. Subfolders are
+  fine — Lightricks' own workflows reference
+  "ltxv/ltx2/ltx-2.3-22b-distilled-lora-384-1.1.safetensors".
+  6. Load a normal content/style LoRA with LoraLoaderModelOnly, wired between
+  CheckpointLoaderSimple's MODEL output and the guider/sampler. In the stock
+  templates you chain it after the distilled-LoRA loader. Use the full
+  LoraLoader (model + clip) only for the gemma-3-12b-it-abliterated LoRA,
+  which patches the Gemma text encoder rather than the video model.
+  7. On a dev checkpoint, also load the acceleration LoRA
+  (ltx_2.3_22b_distilled_1.1_lora_dynamic_fro09_avg_rank_111_bf16.safetensors
+  at 0.5) unless you intend to run the slow guided path.
+  8. For an IC-LoRA, the LoRA loader alone is not enough: either use
+  LTXICLoRALoaderModelOnly + LTXAddVideoICLoRAGuide (ComfyUI-LTXVideo), or —
+  as the official ic_lora template does — feed the LoRA-loaded model through
+  core's GetICLoRAParameters into LTXVAddGuide, so the
+  reference_downscale_factor stored in the file's safetensors metadata is
+  read instead of defaulting to 1.
+  9. Template Library > Video > any LTX-2.3 workflow gives you correct wiring
+  to start from; workflow JSONs are at Comfy-Org/workflow_templates/templates
+  /video_ltx2_3_{t2v,i2v,ia2v,flf2v,ic_lora,id_lora}.json and
+  Lightricks/ComfyUI-LTXVideo/example_workflows/2.3/.
+
+───────────────────────────────────────────────────────────────────────────────
+  Scraped by lorakit on 2026-09-04 23:14 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

airbag-deploy/metadata.json

@@ -0,0 +1,148 @@
+{
+  "name": "Airbag Deploy",
+  "slug": "airbag-deploy",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 1901787,
+  "version_id": 2902608,
+  "version_name": "Airbag Crash - Realistic",
+  "source": "civitai",
+  "url": "https://civitai.com/models/1901787",
+  "repo_id": null,
+  "file_path": null,
+  "author": "AirbagGuy",
+  "category": {
+    "key": "effect",
+    "label": "Physical effect / transformation"
+  },
+  "modalities": [],
+  "primary_modality": "unspecified",
+  "checkpoint_family": "unknown",
+  "trigger_words": [
+    "Airbag",
+    "crash",
+    "car"
+  ],
+  "recommended_settings": {},
+  "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 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 — 2,248 downloads. [source: CivitAI stats]",
+    "Positively received — 89 thumbs-up with no down-votes. [source: CivitAI stats]",
+    "Explicit trigger word(s) — Airbag, crash, car — so the effect can be turned on and off from the prompt. [source: model metadata]"
+  ],
+  "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": "0-AirbagCrash_Realistic.safetensors",
+    "size_bytes": 674249576,
+    "size_mb": 643.01,
+    "sha256": "b82ada8491d4dd4891a722da83ba618fd9ef869b0a1afa701e0566b8344cfa3b"
+  },
+  "stats": {
+    "downloads": 2248,
+    "thumbs_up": 89,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 2248,
+    "thumbs_up": 89,
+    "thumbs_down": 0,
+    "comments": 0,
+    "approval": "100% positive (89/89)",
+    "age_days": 128.9,
+    "downloads_per_day": 1.62,
+    "rank_by_downloads": 18,
+    "rank_by_momentum": 108,
+    "of_total": 150,
+    "adoption_tier": "High",
+    "momentum": "Long tail"
+  },
+  "selection_score": 3716.0,
+  "selection_reasons": [
+    "2,248 downloads",
+    "89 thumbs-up",
+    "documented triggers + usage notes",
+    "top-ranked for its category"
+  ],
+  "example_media": [
+    {
+      "file": "01_video.mp4",
+      "type": "video",
+      "resolution": "1216x832",
+      "prompt": "",
+      "poster": "01_poster.jpg"
+    },
+    {
+      "file": "02_video.mp4",
+      "type": "video",
+      "resolution": "1024x1024",
+      "prompt": "",
+      "poster": "02_poster.jpg"
+    },
+    {
+      "file": "03_video.mp4",
+      "type": "video",
+      "resolution": "1024x1024",
+      "prompt": "",
+      "poster": "03_poster.jpg"
+    },
+    {
+      "file": "04_video.mp4",
+      "type": "video",
+      "resolution": "416x608",
+      "prompt": "",
+      "poster": "04_poster.jpg"
+    },
+    {
+      "file": "05_video.mp4",
+      "type": "video",
+      "resolution": "1024x1024",
+      "prompt": "",
+      "poster": "05_poster.jpg"
+    },
+    {
+      "file": "06_video.mp4",
+      "type": "video",
+      "resolution": "1408x768",
+      "prompt": "",
+      "poster": "06_poster.jpg"
+    }
+  ],
+  "tags": [
+    "balloon",
+    "car",
+    "airbag",
+    "pillow",
+    "carcrash",
+    "inflation",
+    "looner",
+    "objects"
+  ],
+  "scraped_at": "2026-09-04T23:14:35+00:00",
+  "path": "ltxv-2.3/airbag-deploy"
+}