Instructions to use Alex995647/loras-ltxv-2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex995647/loras-ltxv-2.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alex995647/loras-ltxv-2.3") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download furry-enhancer-video/metadata.json from Alex995647/loras-ltxv-2.3: direct link, hf CLI and curl.
- Browser
- Download file 6.36 kB
-
https://huggingface.co/Alex995647/loras-ltxv-2.3/resolve/d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/furry-enhancer-video/metadata.json
- Command line
-
hf download hf://Alex995647/loras-ltxv-2.3@d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/furry-enhancer-video/metadata.json
-
curl -L -o metadata.json https://huggingface.co/Alex995647/loras-ltxv-2.3/resolve/d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/furry-enhancer-video/metadata.json
6.36 kB
| { | |
| "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" | |
| } | |