Add Retro 90's Anime Style Lora LTX-2.3

.gitattributes

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+retro-90-s-anime-style-lora-ltx-2-3/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text

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retro-90-s-anime-style-lora-ltx-2-3/info.txt

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+═══════════════════════════════════════════════════════════════════════════════
+  RETRO 90'S ANIME STYLE LORA LTX-2.3
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   Text-to-Video (T2V)
+  Checkpoint        ltx-2.3-22b-dev (full / base)
+  Category          Visual style
+  Author            tazmannner379
+  Source            https://civitai.com/models/2557755
+  Provenance        CivitAI · model 2557755 · version 2898537
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              anime90s-step00053000.comfy.safetensors
+  Version           v2.1
+  Size              672.5 MB
+  Format            SafeTensor / unknown precision
+  SHA256            fd3e6a2cc43ffc2619e880259940ac26985336b593230ad0657d04ccc0df4a26
+  Published         2026-04-27
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  › "ANIMSTY"
+  › "SHW_AKIRA"
+  › "SHW_CWBY"
+  › "SHW_EVA"
+  › "SHW_GITS"
+  › "SHW_GLBY"
+  › "SHW_GNBR"
+  › "SHW_KTE"
+  › "SHW_OUT"
+  › "SHW_PFTBL"
+  › "SHW_SLYR"
+  › "SHW_TNCH"
+  › "SHW_TYL"
+
+───────────────────────────────────────────────────────────────────────────────
+  RECOMMENDED SETTINGS
+───────────────────────────────────────────────────────────────────────────────
+  Taken verbatim from the author's description:
+
+  Resolution          832x480
+  Frame count         121
+
+───────────────────────────────────────────────────────────────────────────────
+  ADOPTION & POPULARITY
+───────────────────────────────────────────────────────────────────────────────
+  Downloads               2,917
+  Rating                  100% positive (151/151)
+  Comments                7
+  Published               130 days ago
+  Download rate           16.8/day since release
+
+  Adoption rank           #13 of 150 in this collection  (Top tier)
+  Momentum rank           #17 of 150 by download rate  (Trending)
+
+  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 full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors
+    is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is
+    what LoRAs are trained against, and what four of the six official
+    ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either
+    real guidance (Lightricks' own single-stage workflow sets LTXVScheduler
+    to 15 steps with MultimodalGuider) or the distill
+
+───────────────────────────────────────────────────────────────────────────────
+  PROS
+───────────────────────────────────────────────────────────────────────────────
+  + Well established — 2,917 downloads. [source: CivitAI stats]
+  + Positively received — 151 thumbs-up with no down-votes. [source:
+    CivitAI stats]
+  + Explicit trigger word(s) — ANIMSTY, SHW_AKIRA, SHW_CWBY, SHW_EVA,
+    SHW_GITS, SHW_GLBY, SHW_GNBR, SHW_KTE, SHW_OUT, SHW_PFTBL, SHW_SLYR,
+    SHW_TNCH, SHW_TYL — so the effect can be turned on and off from the
+    prompt. [source: model metadata]
+  + Author published concrete recommended settings. [source: description]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  - Large at 673 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
+───────────────────────────────────────────────────────────────────────────────
+  The purpose of this lora is to create a general anime style lora for anime
+  from the 90's.
+
+  V2 info:
+  Trained on 12 different anime's from the 90s. A total of 766 clips. Each
+  show has it's own trigger word and there is a general trigger word that's
+  in all captions. I recommend using the ANIMSTY trigger word at minimum. If
+  style doesn't trigger. As a last resort use "anime" at end of the prompt
+  but I think it will make the output not as good.
+  General Trigger word: ANIMSTY
+  Source Trigger-Word
+  Akira: SHW_AKIRA
+  Cowboy bebop: SHW_CWBY
+  Evangelion: SHW_EVA
+  GitS: SHW_GITS
+  Goldenboy: SHW_GLBY
+  Gunbuster: SHW_GNBR
+  Kite: SHW_KTE
+  Outlawstar: SHW_OUT
+  Perfectblue: SHW_PFTBL
+  Slayers: SHW_SLYR
+  Tenchi Universe: SHW_TNCH
+  Irresponsible Captain Tylor: SHW_TYL
+  This lora should give not just the style of the atheistic of 90's anime, it
+  will also bring the motion. (The base model of LTX basically gives you 3D
+  style motion, this gives it a more 2D anime style). You may lose some
+  things like camera control as the dataset has pretty static camera beyond
+  camera pans.
+  Since this model is trained on a large variety of data (50-100 clips per
+  show), you can use it as a base to train future anime loras. But maybe it
+  might not work so well with modern anime. I might do a modern anime one
+  next.
+  You can access the save state files on my hugging face here. Download the
+  folder and then do this argument on musubi tuner fork: --resume
+  "/PATH/anime90s/anime90s-step00040000-state". And use your own anime
+  dataset from another show and train it to that show's style as a shortcut.
+  This took around 40 hours of training to reach this state on a 5090
+  locally. I also will attach some sample data and my training configs. Feel
+  free to ask if you need help.
+  https://huggingface.co/comfyuiman/anime90s_ltx/tree/main/anime90s-
+  step00040000-state
+  https://huggingface.co/comfyuiman/anime90s_ltx/tree/main/anime90s-
+  step00053000-state
+  I'd love feedback on this. I think I will do a modern anime style lora
+  next. Then maybe try a fine tune of the actual model with more data. (long-
+  term future goal).
+  I recommend using my example workflow, and its best on 50FPS, though 24FPS
+  is ok too.
+
+  OLD:
+  The purpose of this lora is to create a general anime style lora for anime
+  from the 90's. It's trained on 5 different anime from that era. It's goal
+  is not just aesthetics but also to teach the motion of 2d anime from that
+  era since its trained entirely on clips.
+
+  This lora was trained for the hackathon at ados paris (
+  https://ados.events/ ). So the preparation was a bit messy due to the 8 or
+  so hour timelimit. And a lot of issues which will be fixed in v2. But it
+  was more of a proof of concept and its in good enough shape to release to
+  public. All samples are t2v.
+
+  The dataset Akira 75 clips
+  Cowboy Bebop 60 clips
+  Ghost in the shell (movie) 50 clips
+  Perfectblue 60 clips
+  Irresponsible Captain Tylor 60 clips
+  Total 305 clips
+  I used pyscene to split these into clips between 9-121 frames and converted
+  them 25fps
+  I forgot to separate Cowbebop into its own group and as a result sometimes
+  you get black bars on 16:9 generations (because my source for that was
+  4:3). This will be fixed in the next version. I wanted to do 10 shows and
+  700 clips but I ran out of time. So next version will have more variety of
+  data source. And I might do 100 clips per show. As usual I captioned
+  without mentioning the style to remove bias from the base model which
+  doesn't understand so well.
+
+  Training I was going to train on H100 but I couldn't get the instance
+  working so I trained locally on my 5090. I will provide sample training
+  data and config files later. The training resolution was 832x480 and max
+  121 frames. I used default LR and trained video only. I used rank 64. I
+  trained to around 18k steps, but I like the result of 14k steps the most.
+  But I didn't have much time to check earlier checkpoints between 8-13k
+  steps.
+
+  Prompting Use the style trigger word ANIMSTY to trigger the style.
+  I also have trigger words for each source material:
+  SHW_AKIRA, SHW_GITS, SHW_TYL, SHW_CWBY, SHW_PFTBL
+  The theory is that you combine the main styler trigger with a show trigger
+  word and it will lean the model to generate in that shows style or you can
+  remix by adding both. Or exclude show keyword for more general look. I need
+  more time to test if that is the case, but I think maybe not. Give it a
+  try.
+
+  For the most part it should trigger as anime style without any style
+  keywords. But if that fails you can add "anime" to the end but I recommend
+  only doing it as a last resort. Most of my prompts did not need it at 14K
+  steps. And again sorry for black bars that may appear, it will be fixed in
+  v2.
+
+  I recommend using my recommend workflow and 50fps.
+
+───────────────────────────────────────────────────────────────────────────────
+  VERSION NOTES
+───────────────────────────────────────────────────────────────────────────────
+  I trained the model up to 53,000 steps, I noticed model started to over
+  train after this.
+
+───────────────────────────────────────────────────────────────────────────────
+  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, 1280x960)
+      still: 01_poster.jpg
+  02_video.mp4  (video, 1920x1088)
+      still: 02_poster.jpg
+  03_video.mp4  (video, 1280x704)
+      still: 03_poster.jpg
+  04_video.mp4  (video, 1920x1088)
+      still: 04_poster.jpg
+  05_video.mp4  (video, 1920x1088)
+      still: 05_poster.jpg
+  06_video.mp4  (video, 1920x1024)
+      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 23:13 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

retro-90-s-anime-style-lora-ltx-2-3/metadata.json

@@ -0,0 +1,156 @@
+{
+  "name": "Retro 90's Anime Style Lora LTX-2.3",
+  "slug": "retro-90-s-anime-style-lora-ltx-2-3",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2557755,
+  "version_id": 2898537,
+  "version_name": "v2.1",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2557755",
+  "repo_id": null,
+  "file_path": null,
+  "author": "tazmannner379",
+  "category": {
+    "key": "style",
+    "label": "Visual style"
+  },
+  "modalities": [
+    "t2v"
+  ],
+  "primary_modality": "t2v",
+  "checkpoint_family": "dev",
+  "trigger_words": [
+    "ANIMSTY",
+    "SHW_AKIRA",
+    "SHW_CWBY",
+    "SHW_EVA",
+    "SHW_GITS",
+    "SHW_GLBY",
+    "SHW_GNBR",
+    "SHW_KTE",
+    "SHW_OUT",
+    "SHW_PFTBL",
+    "SHW_SLYR",
+    "SHW_TNCH",
+    "SHW_TYL"
+  ],
+  "recommended_settings": {
+    "Resolution": "832x480",
+    "Frame count": "121"
+  },
+  "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 full, flexible, trainable bf16 model — ltx-2.3-22b-dev.safetensors is 46.15 GB bf16, 29.15 GB as ltx-2.3-22b-dev-fp8.safetensors. This is what LoRAs are trained against, and what four of the six official ComfyUI LTX-2.3 templates load (t2v, i2v, ia2v, id_lora). Needs either real guidance (Lightricks' own single-stage workflow sets LTXVScheduler to 15 steps with MultimodalGuider) or the distill"
+    ]
+  },
+  "pros": [
+    "Well established — 2,917 downloads. [source: CivitAI stats]",
+    "Positively received — 151 thumbs-up with no down-votes. [source: CivitAI stats]",
+    "Explicit trigger word(s) — ANIMSTY, SHW_AKIRA, SHW_CWBY, SHW_EVA, SHW_GITS, SHW_GLBY, SHW_GNBR, SHW_KTE, SHW_OUT, SHW_PFTBL, SHW_SLYR, SHW_TNCH, SHW_TYL — so the effect can be turned on and off from the prompt. [source: model metadata]",
+    "Author published concrete recommended settings. [source: description]"
+  ],
+  "cons": [
+    "Large at 673 MB — slower to load and heavier to stack. [source: file size]"
+  ],
+  "file": {
+    "name": "anime90s-step00053000.comfy.safetensors",
+    "size_bytes": 705198960,
+    "size_mb": 672.53,
+    "sha256": "fd3e6a2cc43ffc2619e880259940ac26985336b593230ad0657d04ccc0df4a26"
+  },
+  "stats": {
+    "downloads": 2917,
+    "thumbs_up": 151,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 2917,
+    "thumbs_up": 151,
+    "thumbs_down": 0,
+    "comments": 7,
+    "approval": "100% positive (151/151)",
+    "age_days": 130.4,
+    "downloads_per_day": 16.76,
+    "rank_by_downloads": 13,
+    "rank_by_momentum": 17,
+    "of_total": 150,
+    "adoption_tier": "Top tier",
+    "momentum": "Trending"
+  },
+  "selection_score": 5129.0,
+  "selection_reasons": [
+    "2,917 downloads",
+    "151 thumbs-up",
+    "documented triggers + usage notes",
+    "top-ranked for its category"
+  ],
+  "example_media": [
+    {
+      "file": "01_video.mp4",
+      "type": "video",
+      "resolution": "1280x960",
+      "prompt": "",
+      "poster": "01_poster.jpg"
+    },
+    {
+      "file": "02_video.mp4",
+      "type": "video",
+      "resolution": "1920x1088",
+      "prompt": "",
+      "poster": "02_poster.jpg"
+    },
+    {
+      "file": "03_video.mp4",
+      "type": "video",
+      "resolution": "1280x704",
+      "prompt": "",
+      "poster": "03_poster.jpg"
+    },
+    {
+      "file": "04_video.mp4",
+      "type": "video",
+      "resolution": "1920x1088",
+      "prompt": "",
+      "poster": "04_poster.jpg"
+    },
+    {
+      "file": "05_video.mp4",
+      "type": "video",
+      "resolution": "1920x1088",
+      "prompt": "",
+      "poster": "05_poster.jpg"
+    },
+    {
+      "file": "06_video.mp4",
+      "type": "video",
+      "resolution": "1920x1024",
+      "prompt": "",
+      "poster": "06_poster.jpg"
+    }
+  ],
+  "tags": [
+    "style"
+  ],
+  "scraped_at": "2026-09-04T23:13:19+00:00",
+  "path": "ltxv-2.3/retro-90-s-anime-style-lora-ltx-2-3"
+}