<h1 id="ltx-2.3-singularity:-cinematic-motion-and-shot-control-(alpha)">[LTX 2.3] Singularity: Cinematic Motion &amp; Shot Control (Alpha)</h1>The 10% Miracle. This LoRA is a comprehensive optimizer for LTX-2.3 Image-to-Video and First/Last Frame workflows. Even at only 11,500 steps (10% of training), it delivers a massive leap in physical coherence and cinematic quality.<hr /><h3 id="what's-new-in-this-version">🚀 What's New in This Version?</h3><ul><li>🎬 Shot Injection &amp; Timing: Precise control over camera cuts and motion flows using the <code>0-X seconds</code> format.</li><li>🖐️ Physical Correction: Significantly improved finger/toe stability and limb consistency during movement.</li><li>🗣️ Human Expression: Reduces "AI Stiffness." Characters feel alive with natural micro-expressions and optimized Chinese lip-sync.</li><li>📽️ Cinematic Lighting: Injected professional film-grade lighting and shadow contrast.</li><li>🚫 No More Subtitles: Effectively suppresses the hardcoded AI subtitles from the base model.</li><li>✨ Cross-Style Potential: Outstanding performance on Anime/Stylized conversion (even without specific anime training data).</li></ul><hr /><h3 id="usage-tips-and-parameters">🛠️ Usage Tips &amp; Parameters</h3><ul><li>Base Model: <code>ltx-2.3-22b-distilled-1.1</code> (Works best with transformer-only fp8 scaled version)</li><li>LoRA Weight: <code>0.8 - 1.0</code> (Start with 1.0)</li><li>You can click on the link below to try it out directly. If the effect is good, you can deploy it locally<a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2053064469290463233/?inviteCode=sdhs0trb">https://www.runninghub.ai/post/2053064469290463233/?inviteCode=sdhs0trb</a></li><li>Note: High-dynamic physics (extreme motion) is still being refined due to the early training stage.</li></ul><hr /><h3 id="prompting-framework-(singularity-protocol)">📜 Prompting Framework (Singularity Protocol)</h3>To unlock the full power of this LoRA, follow this structure: (English for visuals, Chinese for Timing/Dialogue)<ol><li>Scene &amp; Style: <code>Cinematic Wuxia style, indoor dim lighting...</code></li><li>Action Timeline: <code>0-5s, young man looks down then raises his head...</code></li><li>Camera Timeline: <code>0-5s, tight close-up, slight handheld movement...</code></li><li>Dialogue: <code>0-5s，男子说：这都什么呀？</code> (Use Chinese here)</li><li>Technical: <code>film grain, cinematic bokeh，无字幕</code></li></ol>Full Example: Cinematic wuxia style, indoor dim lighting, mysterious mood. 0-10s, young man in ancient white robes looks down with a confused expression. 0-10s, tight close-up, static camera with slight handheld movement. Dark stone background, warm candlelight bokeh. 0-10s，男子说：这都什么呀？都没听说过呀。Voice: low, Pace: slow. Precise lip-sync, film grain, cinematic bokeh，无字幕。<hr /><h3 id="community-feedback">❤️ Community Feedback</h3>This is an Early Alpha (10%) release. I decided to release it now because the initial results were too good to keep hidden.If you like this model:<ol><li>Post your generations! I need to see how it performs across different workflows.</li><li>Leave a Review. Your feedback directly shapes the 100% full version training set.</li><li>Follow me for the upcoming full release!</li></ol>If you have questions, feedback, or want to collaborate on AI video workflows, feel free to reach out:<ul><li>WeChat (微信): <code>aigctyd</code></li><li>QQ Group (QQ社群): <code>1058747239</code></li><li>Email: <code>a592991299@gmail.com</code></li></ul>I'm actively looking for community feedback to refine the full version of this LoRA. Let's push the boundaries of LTX2.3 together!

Singularity LTX-2.3  OmniCine Preview v0.1

Singularity LTX-2.3  OmniCine Preview v0.1.safetensors

v0.1

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SDK下载
```bash
#安装ModelScope
pip install modelscope
```
```python
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('zhouwenbin1994/Singularity_LTX-2.3_OmniCine_Preview0.1')
```
Git下载
```
#Git模型下载
git clone https://www.modelscope.cn/zhouwenbin1994/Singularity_LTX-2.3_OmniCine_Preview0.1.git
```

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Files with SHA256: d8f21cfa7dabb993aad726d33f91b2fcde8fb7481165af58a154bf1444995544