Add Obscura Remova

.gitattributes

@@ -141,3 +141,15 @@ cameraman-ic-lora-for-ltx2-3-22b/example_images/02_video.mp4 filter=lfs diff=lfs
 cameraman-ic-lora-for-ltx2-3-22b/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -text
 cameraman-ic-lora-for-ltx2-3-22b/example_images/04_poster.jpg filter=lfs diff=lfs merge=lfs -text
 cameraman-ic-lora-for-ltx2-3-22b/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
+obscura-remova/example_images/01_poster.jpg filter=lfs diff=lfs merge=lfs -text
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+obscura-remova/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
+obscura-remova/example_images/06_poster.jpg filter=lfs diff=lfs merge=lfs -text
+obscura-remova/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text

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obscura-remova/info.txt

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+═══════════════════════════════════════════════════════════════════════════════
+  OBSCURA REMOVA
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   IC-LoRA / Video-to-Video (V2V)
+  Checkpoint        ltx-2.3-22b-dev (full / base)
+  Category          Motion quality
+  Author            WepeNerd
+  Source            https://civitai.com/models/2590144
+  Provenance        CivitAI · model 2590144 · version 2909707
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              LTX23_Obscura_Remova_v1.safetensors
+  Version           LTX23 V2V v1
+  Size              312.2 MB
+  Format            SafeTensor / unknown precision
+  SHA256            e58ff6e1076caf40707b9b890aeae1d1c0bd26f285f7666aafc052a06d35f22a
+  Published         2026-05-01
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  › "Remove the object from the foreground."
+
+───────────────────────────────────────────────────────────────────────────────
+  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               1,935
+  Rating                  100% positive (192/192)
+  Comments                20
+  Published               126 days ago
+  Download rate           15.3/day since release
+
+  Adoption rank           #27 of 150 in this collection  (High)
+  Momentum rank           #19 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 — 1,935 downloads. [source: CivitAI stats]
+  + Positively received — 192 thumbs-up with no down-votes. [source:
+    CivitAI stats]
+  + Explicit trigger word(s) — Remove the object from the foreground. — so
+    the effect can be turned on and off from the prompt. [source: model
+    metadata]
+  + Compact at 312 MB — cheap to stack with other LoRAs. [source: file
+    size]
+
+───────────────────────────────────────────────────────────────────────────────
+  CONS & CAVEATS
+───────────────────────────────────────────────────────────────────────────────
+  (none recorded)
+
+───────────────────────────────────────────────────────────────────────────────
+  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
+───────────────────────────────────────────────────────────────────��───────────
+  This v2v LoRA removes anything obscuring the scene. It was made to
+  "reconstruct" ground truth video from sparse data (when details of the
+  scene can only partially be seen or the scene has semi-occlusion like smoke
+  or haze.) If the data is completely invisible from any of the frames then
+  it will have to be hallucinated, but if it is present anywhere, even semi-
+  transparently, then it will be retained. Adjust the strength of the LoRA to
+  remove more layers or go "deeper" into the scene. Start at a strength of
+  about 1.25 and adjust to your liking. More complex removal requires higher
+  strength.
+  Example prompt: "Remove the green plant from the foreground." is all that
+  is needed to perform the task, but if details of the scene need to be
+  hallucinated, it will be best to describe the scene in the background. LTX
+  still struggles with fast movement, but if you interpolate the input to
+  50fps and run inference at 50fps then it should help with fast moving
+  scenes.
+  See examples for what this LoRA can do. >>Example Workflow Here<<
+  The split LTX models in the workflow can be downloaded from Kijai's page:
+  https://huggingface.co/Kijai/LTX2.3_comfy/tree/main
+
+───────────────────────────────────────────────────────────────────────────────
+  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, 1280x1472)
+      still: 01_poster.jpg
+  02_video.mp4  (video, 1280x1472)
+      still: 02_poster.jpg
+  03_video.mp4  (video, 1280x1472)
+      still: 03_poster.jpg
+  04_video.mp4  (video, 1280x1428)
+      still: 04_poster.jpg
+  05_video.mp4  (video, 1280x1472)
+      still: 05_poster.jpg
+  06_video.mp4  (video, 1424x1280)
+      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.
+───────────────────────────────────────────────────────────────────────────────

obscura-remova/metadata.json

@@ -0,0 +1,143 @@
+{
+  "name": "Obscura Remova",
+  "slug": "obscura-remova",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2590144,
+  "version_id": 2909707,
+  "version_name": "LTX23 V2V v1",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2590144",
+  "repo_id": null,
+  "file_path": null,
+  "author": "WepeNerd",
+  "category": {
+    "key": "motion",
+    "label": "Motion quality"
+  },
+  "modalities": [
+    "v2v_ic_lora"
+  ],
+  "primary_modality": "v2v_ic_lora",
+  "checkpoint_family": "dev",
+  "trigger_words": [
+    "Remove the object from the foreground."
+  ],
+  "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 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 — 1,935 downloads. [source: CivitAI stats]",
+    "Positively received — 192 thumbs-up with no down-votes. [source: CivitAI stats]",
+    "Explicit trigger word(s) — Remove the object from the foreground. — so the effect can be turned on and off from the prompt. [source: model metadata]",
+    "Compact at 312 MB — cheap to stack with other LoRAs. [source: file size]"
+  ],
+  "cons": [],
+  "file": {
+    "name": "LTX23_Obscura_Remova_v1.safetensors",
+    "size_bytes": 327344864,
+    "size_mb": 312.18,
+    "sha256": "e58ff6e1076caf40707b9b890aeae1d1c0bd26f285f7666aafc052a06d35f22a"
+  },
+  "stats": {
+    "downloads": 1935,
+    "thumbs_up": 192,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 1935,
+    "thumbs_up": 192,
+    "thumbs_down": 0,
+    "comments": 20,
+    "approval": "100% positive (192/192)",
+    "age_days": 126.3,
+    "downloads_per_day": 15.32,
+    "rank_by_downloads": 27,
+    "rank_by_momentum": 19,
+    "of_total": 150,
+    "adoption_tier": "High",
+    "momentum": "Trending"
+  },
+  "selection_score": 4639.0,
+  "selection_reasons": [
+    "1,935 downloads",
+    "192 thumbs-up",
+    "documented triggers + usage notes",
+    "top-ranked for its category"
+  ],
+  "example_media": [
+    {
+      "file": "01_video.mp4",
+      "type": "video",
+      "resolution": "1280x1472",
+      "prompt": "",
+      "poster": "01_poster.jpg"
+    },
+    {
+      "file": "02_video.mp4",
+      "type": "video",
+      "resolution": "1280x1472",
+      "prompt": "",
+      "poster": "02_poster.jpg"
+    },
+    {
+      "file": "03_video.mp4",
+      "type": "video",
+      "resolution": "1280x1472",
+      "prompt": "",
+      "poster": "03_poster.jpg"
+    },
+    {
+      "file": "04_video.mp4",
+      "type": "video",
+      "resolution": "1280x1428",
+      "prompt": "",
+      "poster": "04_poster.jpg"
+    },
+    {
+      "file": "05_video.mp4",
+      "type": "video",
+      "resolution": "1280x1472",
+      "prompt": "",
+      "poster": "05_poster.jpg"
+    },
+    {
+      "file": "06_video.mp4",
+      "type": "video",
+      "resolution": "1424x1280",
+      "prompt": "",
+      "poster": "06_poster.jpg"
+    }
+  ],
+  "tags": [
+    "edit",
+    "concept",
+    "v2v",
+    "remove",
+    "ic-lora"
+  ],
+  "scraped_at": "2026-09-04T23:14:09+00:00",
+  "path": "ltxv-2.3/obscura-remova"
+}