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Add Furry Enhancer Video
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{
"name": "Furry Enhancer Video",
"slug": "furry-enhancer-video",
"base_model": "LTX-2.3",
"media_type": "video",
"model_id": 1782485,
"version_id": 2869488,
"version_name": "LTX 2.3 V2.4 (Omni)",
"source": "civitai",
"url": "https://civitai.com/models/1782485",
"repo_id": null,
"file_path": null,
"author": "freek22",
"category": {
"key": "detail",
"label": "Detail / anatomy fixer"
},
"modalities": [
"t2v",
"i2v"
],
"primary_modality": "t2v",
"checkpoint_family": "dev",
"trigger_words": [],
"recommended_settings": {
"LoRA strength": "1.0",
"Resolution": "480P"
},
"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 β€” 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 β€” 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 β€” it patches the Gemma text encoder through a model+clip LoraLoader, as the official templates wire it.",
"The full, flexible, trainable bf16 model β€” 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": [
"Widely adopted β€” 19,304 downloads. [source: CivitAI stats]",
"Positively received β€” 902 thumbs-up, 2 down. [source: CivitAI stats]",
"Author documents use across several modes (T2V, I2V). [source: description]",
"Author published concrete recommended settings. [source: description]"
],
"cons": [
"Author labels this experimental β€” results vary shot to shot. [source: description]",
"Author references NSFW output β€” review before using in shared work. [source: description]",
"No trigger word β€” the LoRA is always on once loaded, so strength is the only control. [source: model metadata]",
"Large at 1286 MB β€” slower to load and heavier to stack. [source: file size]"
],
"file": {
"name": "FurryenhancerLTX2.3V2.4.safetensors",
"size_bytes": 1348027384,
"size_mb": 1285.58,
"sha256": "f0d2d234e1a9638095628f55db2a53d0d60e5b05f3aa6d9b46cc4f29ef2b43d1"
},
"stats": {
"downloads": 19304,
"thumbs_up": 902,
"thumbs_down": 2
},
"popularity": {
"downloads": 19304,
"thumbs_up": 902,
"thumbs_down": 2,
"comments": 0,
"approval": "100% positive (902/904)",
"age_days": 139.5,
"downloads_per_day": 5.44,
"rank_by_downloads": 1,
"rank_by_momentum": 55,
"of_total": 150,
"adoption_tier": "Top tier",
"momentum": "Steady"
},
"selection_score": 30128.0,
"selection_reasons": [
"19,304 downloads",
"902 thumbs-up",
"covers t2v"
],
"example_media": [
{
"file": "01_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "01_poster.jpg"
},
{
"file": "02_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "02_poster.jpg"
},
{
"file": "03_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "03_poster.jpg"
},
{
"file": "04_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "04_poster.jpg"
},
{
"file": "05_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "05_poster.jpg"
},
{
"file": "06_video.mp4",
"type": "video",
"resolution": "576x1024",
"prompt": "",
"poster": "06_poster.jpg"
}
],
"tags": [
"photorealistic",
"dog",
"creature",
"animal",
"man",
"animals",
"fantasy",
"wolf",
"rabbit",
"realistic",
"anthro",
"photo",
"art",
"furry",
"woman",
"cat"
],
"scraped_at": "2026-09-04T23:13:03+00:00",
"path": "ltxv-2.3/furry-enhancer-video"
}