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 chinesexianxiastyle/metadata.json from Alex995647/loras-ltxv-2.3: direct link, hf CLI and curl.
- Browser
- Download file 5.87 kB
-
https://huggingface.co/Alex995647/loras-ltxv-2.3/resolve/d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/chinesexianxiastyle/metadata.json
- Command line
-
hf download hf://Alex995647/loras-ltxv-2.3@d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/chinesexianxiastyle/metadata.json
-
curl -L -o metadata.json https://huggingface.co/Alex995647/loras-ltxv-2.3/resolve/d04785a85a9fe3b6ead2a73d2d10be4cfdc048d2/chinesexianxiastyle/metadata.json
5.87 kB
| { | |
| "name": "ChineseXianxiaStyle", | |
| "slug": "chinesexianxiastyle", | |
| "base_model": "LTX-2.3", | |
| "media_type": "video", | |
| "model_id": 2489394, | |
| "version_id": 2798625, | |
| "version_name": "v0.9", | |
| "source": "civitai", | |
| "url": "https://civitai.com/models/2489394", | |
| "repo_id": null, | |
| "file_path": null, | |
| "author": "MaqueAI", | |
| "category": { | |
| "key": "style", | |
| "label": "Visual style" | |
| }, | |
| "modalities": [], | |
| "primary_modality": "unspecified", | |
| "checkpoint_family": "unknown", | |
| "trigger_words": [ | |
| "仙侠风格" | |
| ], | |
| "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) — 仙侠风格 — so the effect can be turned on and off from the prompt. [source: model metadata]", | |
| "Compact at 192 MB — cheap to stack with other LoRAs. [source: file size]" | |
| ], | |
| "cons": [ | |
| "Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description]", | |
| "Thin documentation — expect trial and error. [source: description length]", | |
| "Modest adoption (445 downloads) — less community feedback to rely on. [source: CivitAI stats]" | |
| ], | |
| "file": { | |
| "name": "仙侠风格.safetensors", | |
| "size_bytes": 201431591, | |
| "size_mb": 192.1, | |
| "sha256": "c87c5a445561110fdad66015d3c2f1154cda1feb3e1ecea705329b1de195742e" | |
| }, | |
| "stats": { | |
| "downloads": 445, | |
| "thumbs_up": 40, | |
| "thumbs_down": 0 | |
| }, | |
| "popularity": { | |
| "downloads": 445, | |
| "thumbs_up": 40, | |
| "thumbs_down": 0, | |
| "comments": 0, | |
| "approval": "100% positive (40/40)", | |
| "age_days": 164.8, | |
| "downloads_per_day": 2.7, | |
| "rank_by_downloads": 80, | |
| "rank_by_momentum": 90, | |
| "of_total": 150, | |
| "adoption_tier": "Modest", | |
| "momentum": "Long tail" | |
| }, | |
| "selection_score": 925.0, | |
| "selection_reasons": [ | |
| "445 downloads", | |
| "40 thumbs-up", | |
| "top-ranked for its category" | |
| ], | |
| "example_media": [ | |
| { | |
| "file": "01_video.mp4", | |
| "type": "video", | |
| "resolution": "1920x1024", | |
| "prompt": "", | |
| "poster": "01_poster.jpg" | |
| }, | |
| { | |
| "file": "02_video.mp4", | |
| "type": "video", | |
| "resolution": "1920x1024", | |
| "prompt": "", | |
| "poster": "02_poster.jpg" | |
| }, | |
| { | |
| "file": "03_video.mp4", | |
| "type": "video", | |
| "resolution": "1920x1024", | |
| "prompt": "", | |
| "poster": "03_poster.jpg" | |
| }, | |
| { | |
| "file": "04_video.mp4", | |
| "type": "video", | |
| "resolution": "1280x704", | |
| "prompt": "", | |
| "poster": "04_poster.jpg" | |
| }, | |
| { | |
| "file": "05_video.mp4", | |
| "type": "video", | |
| "resolution": "1920x1024", | |
| "prompt": "", | |
| "poster": "05_poster.jpg" | |
| }, | |
| { | |
| "file": "06_video.mp4", | |
| "type": "video", | |
| "resolution": "1920x1024", | |
| "prompt": "", | |
| "poster": "06_poster.jpg" | |
| } | |
| ], | |
| "tags": [ | |
| "style", | |
| "ltx" | |
| ], | |
| "scraped_at": "2026-09-04T23:19:17+00:00", | |
| "path": "ltxv-2.3/chinesexianxiastyle" | |
| } | |