Add Bonnie Rabbit

.gitattributes

@@ -568,3 +568,5 @@ dark-cinematic-video/example_images/03_video.mp4 filter=lfs diff=lfs merge=lfs -
 dark-cinematic-video/example_images/04_video.mp4 filter=lfs diff=lfs merge=lfs -text
 dark-cinematic-video/example_images/05_video.mp4 filter=lfs diff=lfs merge=lfs -text
 dark-cinematic-video/example_images/06_video.mp4 filter=lfs diff=lfs merge=lfs -text
+bonnie-rabbit/example_images/01_poster.jpg filter=lfs diff=lfs merge=lfs -text
+bonnie-rabbit/example_images/01_video.mp4 filter=lfs diff=lfs merge=lfs -text

bonnie-rabbit/Bonnie_Rabbit_LTX_v2_000001750.safetensors

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+size 674249648

bonnie-rabbit/example_images/01_video.mp4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5fe3bcab68b1fc2c76700700b0aa63a1e44a08f186bbfbb86d4492456ba94870
+size 7484237

bonnie-rabbit/info.txt

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+═══════════════════════════════════════════════════════════════════════════════
+  BONNIE RABBIT
+═══════════════════════════════════════════════════════════════════════════════
+
+───────────────────────────────────────────────────────────────────────────────
+  IDENTITY
+───────────────────────────────────────────────────────────────────────────────
+  Base model        LTX-2.3
+  Generation mode   not declared by the author
+  Checkpoint        not determined — verify before use
+  Category          Character / subject
+  Author            MikoGoblin
+  Source            https://civitai.com/models/2451356
+  Provenance        CivitAI · model 2451356 · version 3262648
+
+───────────────────────────────────────────────────────────────────────────────
+  WEIGHTS
+───────────────────────────────────────────────────────────────────────────────
+  File              Bonnie_Rabbit_LTX_v2_000001750.safetensors
+  Version           v2.0 LTX2.3
+  Size              643.0 MB
+  Format            SafeTensor / unknown precision
+  SHA256            b6c173279bd718143b65a3723ec7c957b8abfab841deb5861c20a6d5c0cd0a16
+  Published         2026-08-24
+
+───────────────────────────────────────────────────────────────────────────────
+  TRIGGER WORDS
+───────────────────────────────────────────────────────────────────────────────
+  › "bonnielora"
+
+───────────────────────────────────────────────────────────────────────────────
+  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               502
+  Rating                  100% positive (18/18)
+  Comments                0
+  Published               11 days ago
+  Download rate           2.8/day since release
+
+  Adoption rank           #72 of 150 in this collection  (Moderate)
+  Momentum rank           #88 of 150 by download rate  (Long tail · fresh release)
+
+  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
+───────────────────────────────────────────────────────────────────────────────
+  + Explicit trigger word(s) — bonnielora — 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]
+  - Modest adoption (502 downloads) — less community feedback to rely on.
+    [source: CivitAI stats]
+
+───────────────────────────────────────────────────────────────────────────────
+  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
+───────────────────────────────────────────────────────────────────────────��───
+  Bonnie Rabbit is a rabbit girl from rural New Zealand with a calm demeanor,
+  a sharp practical mind, and the kind of quiet competence that makes
+  difficult work look effortless. Soft spoken and unfailingly polite, Bonnie
+  isn’t the loudest person in a room, but people tend to listen when she does
+  speak. Mostly because she’s usually right.
+  She inherited her family’s carrot farm as an only child and has dedicated
+  herself completely to keeping it thriving. Under Bonnie’s care, the farm
+  has become locally legendary, producing some of the finest carrots in the
+  region. Restaurants compete for her harvests, local markets sell out
+  quickly, and neighboring farmers regularly ask for her advice, though she
+  still insists she’s “just doing things the way Mum and Dad taught me.”
+  Bonnie genuinely loves farming. Not in the romanticized postcard sense, but
+  the real thing: early mornings, muddy boots, irrigation schedules, weather
+  anxiety, and the deeply satisfying feeling of watching healthy crops push
+  through the soil. She reads constantly, alternating between cozy fiction
+  novels and highly specific agricultural books with titles that would put
+  most people into an immediate coma.
+  Despite her gentle personality, she’s very easily exasperated by nonsense.
+  Bonnie has perfected the long, patient stare of someone silently
+  reconsidering every life choice that led to the current conversation. She’s
+  especially intolerant of people who underestimate farming, misuse tools, or
+  suggest “just growing something else” whenever crop prices fluctuate.
+  One of the few people who can consistently pull her away from work is Rain
+  Callister , the Canadian software developer who helped modernize the farm’s
+  online presence and somehow became woven into Bonnie’s everyday life along
+  the way. Their relationship drifts unpredictably between close friendship
+  and something softer, more romantic, usually without either of them clearly
+  announcing when the transition happened this time. Bonnie finds Rain
+  simultaneously endearing and deeply ridiculous in equal measure, though
+  she’s noticeably gentler around her than with almost anyone else.
+  Beneath the occasional exasperation, Bonnie is warmhearted, dependable, and
+  quietly affectionate. The sort of person who remembers exactly how you take
+  your tea, then sends you home with an armful of fresh produce whether you
+  asked for any or not. 🥕🐇📚
+
+───────────────────────────────────────────────────────────────────────────────
+  VERSION NOTES
+───────────────────────────────────────────────────────────────────────────────
+  added voice
+
+───────────────────────────────────────────────────────────────────────────────
+  EXAMPLE MEDIA
+───────────────────────────────────────────────────────────────────────────────
+  1 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, 1024x768)
+      still: 01_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 23:18 UTC.
+  Stats and description are the author's; pros/cons are derived from the
+  evidence tagged beside each line.
+───────────────────────────────────────────────────────────────────────────────

bonnie-rabbit/metadata.json

@@ -0,0 +1,107 @@
+{
+  "name": "Bonnie Rabbit",
+  "slug": "bonnie-rabbit",
+  "base_model": "LTX-2.3",
+  "media_type": "video",
+  "model_id": 2451356,
+  "version_id": 3262648,
+  "version_name": "v2.0 LTX2.3",
+  "source": "civitai",
+  "url": "https://civitai.com/models/2451356",
+  "repo_id": null,
+  "file_path": null,
+  "author": "MikoGoblin",
+  "category": {
+    "key": "character",
+    "label": "Character / subject"
+  },
+  "modalities": [],
+  "primary_modality": "unspecified",
+  "checkpoint_family": "unknown",
+  "trigger_words": [
+    "bonnielora"
+  ],
+  "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": [
+    "Explicit trigger word(s) — bonnielora — 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]",
+    "Modest adoption (502 downloads) — less community feedback to rely on. [source: CivitAI stats]"
+  ],
+  "file": {
+    "name": "Bonnie_Rabbit_LTX_v2_000001750.safetensors",
+    "size_bytes": 674249648,
+    "size_mb": 643.01,
+    "sha256": "b6c173279bd718143b65a3723ec7c957b8abfab841deb5861c20a6d5c0cd0a16"
+  },
+  "stats": {
+    "downloads": 502,
+    "thumbs_up": 18,
+    "thumbs_down": 0
+  },
+  "popularity": {
+    "downloads": 502,
+    "thumbs_up": 18,
+    "thumbs_down": 0,
+    "comments": 0,
+    "approval": "100% positive (18/18)",
+    "age_days": 11.3,
+    "downloads_per_day": 2.83,
+    "rank_by_downloads": 72,
+    "rank_by_momentum": 88,
+    "of_total": 150,
+    "adoption_tier": "Moderate",
+    "momentum": "Long tail · fresh release"
+  },
+  "selection_score": 1118.0,
+  "selection_reasons": [
+    "502 downloads",
+    "18 thumbs-up",
+    "documented triggers + usage notes",
+    "top-ranked for its category"
+  ],
+  "example_media": [
+    {
+      "file": "01_video.mp4",
+      "type": "video",
+      "resolution": "1024x768",
+      "prompt": "",
+      "poster": "01_poster.jpg"
+    }
+  ],
+  "tags": [
+    "character",
+    "kemonomimi",
+    "mikogoblin",
+    "rabbitgirl",
+    "furry"
+  ],
+  "scraped_at": "2026-09-04T23:18:54+00:00",
+  "path": "ltxv-2.3/bonnie-rabbit"
+}