<h1 id="kxsr-traveling-lora-for-wan-2.1-14b-nfld85kyf">KXSR Traveling LorA for WAN 2.1 14B</h1>In collaboration with <a target="_blank" rel="ugc" href="https://civarchive.com/user/machinedelusions">@machinedelusions</a> [<a target="_blank" rel="ugc" href="https://civarchive.com/user/machinedelusions">https://civarchive.com/user/machinedelusions</a>] KXSR Labs presents: This LoRA enables the creation of cinematic sequences featuring characters and imaginative interiors with motion in the background or outside the room (typically a window if using our prompt styling). The typical view will be from inside a moving vehicle or structure with the exterior world being dynamic movement in horizontal aspect ratio generation. Can still create fun results at other aspect ratios/resolutions. Use the trigger word "kxsr" to activate the model's specialized training.<h2 id="prompt-format-inzm8eds2">Prompt Format</h2><pre><code>kxsr, [describe the person/thing and interior], outside the [describe the movement or happenings outside in the world around them]
</code></pre><h3 id="example-prompt-mg6fop62m">Example Prompt</h3><pre><code>kxsr, A cartoon raccoon reclines in a cozy camper, wearing a yellow hoodie and jeans, with hands behind its head. A laptop, headphones, book, and mug sit on the table. Outside, trees with autumn leaves whiz by, creating a sense of motion and adventure. Twinkling lights and hanging plants decorate the camper.
</code></pre><h2 id="recommended-settings-cut6jxotm">Recommended Settings</h2><ul><li>CFG: 5.5</li><li>Shift value: 4.0</li><li>LoRA strength: 1.0</li><li>~73 frames</li><li>720x1280 horizontal aspect ratio</li></ul><h2 id="technical-details-g9gz5692b">Technical Details</h2><ul><li>Base model: WAN 2.1 14B Text2Video</li><li>Training dataset: 80 clips</li><li>Resolution: 1280 x 720 (horizontal format)</li><li>Frame count: 73 frames per clip</li><li>For optimal results, maintain these specifications during inference</li></ul>This LoRA works best when you provide detailed descriptions of both the subject and the surrounding environment while following the prescribed format. Workflow Available here: <a target="_blank" rel="ugc" href="https://drive.google.com/file/d/1qrCm_iA9UNwqjzG8YRRa66a6O39F5afw/view?usp=sharing">https://drive.google.com/file/d/1qrCm_iA9UNwqjzG8YRRa66a6O39F5afw/view?usp=sharing</a> Screenshot shows my typical inference testing setup for lora evals: <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7e8167a5-9e53-4948-b602-fe2216b97a85/width=525/7e8167a5-9e53-4948-b602-fe2216b97a85.jpeg" />

KXSR Traveling Concept WAN 14B T2V

kxsr_WAN14B_traveling_concept.safetensors

v1.0

<h1 id="kxsr-traveling-lora-for-wan-2.1-14b-nfld85kyf">KXSR Traveling LorA for WAN 2.1 14B</h1>In collaboration with <a target="_blank" rel="ugc" href="https://civitai.com/user/machinedelusions">@machinedelusions</a> [<a target="_blank" rel="ugc" href="https://civitai.com/user/machinedelusions">https://civitai.com/user/machinedelusions</a>] KXSR Labs presents: This LoRA enables the creation of cinematic sequences featuring characters and imaginative interiors with motion in the background or outside the room (typically a window if using our prompt styling). The typical view will be from inside a moving vehicle or structure with the exterior world being dynamic movement in horizontal aspect ratio generation. Can still create fun results at other aspect ratios/resolutions. Use the trigger word "kxsr" to activate the model's specialized training.<h2 id="prompt-format-inzm8eds2">Prompt Format</h2><pre><code>kxsr, [describe the person/thing and interior], outside the [describe the movement or happenings outside in the world around them]
</code></pre><h3 id="example-prompt-mg6fop62m">Example Prompt</h3><pre><code>kxsr, A cartoon raccoon reclines in a cozy camper, wearing a yellow hoodie and jeans, with hands behind its head. A laptop, headphones, book, and mug sit on the table. Outside, trees with autumn leaves whiz by, creating a sense of motion and adventure. Twinkling lights and hanging plants decorate the camper.
</code></pre><h2 id="recommended-settings-cut6jxotm">Recommended Settings</h2><ul><li>CFG: 5.5</li><li>Shift value: 4.0</li><li>LoRA strength: 1.0</li><li>~73 frames</li><li>720x1280 horizontal aspect ratio</li></ul><h2 id="technical-details-g9gz5692b">Technical Details</h2><ul><li>Base model: WAN 2.1 14B Text2Video</li><li>Training dataset: 80 clips</li><li>Resolution: 1280 x 720 (horizontal format)</li><li>Frame count: 73 frames per clip</li><li>For optimal results, maintain these specifications during inference</li></ul>This LoRA works best when you provide detailed descriptions of both the subject and the surrounding environment while following the prescribed format. Workflow Available here: <a target="_blank" rel="ugc" href="https://drive.google.com/file/d/1qrCm_iA9UNwqjzG8YRRa66a6O39F5afw/view?usp=sharing">https://drive.google.com/file/d/1qrCm_iA9UNwqjzG8YRRa66a6O39F5afw/view?usp=sharing</a> Screenshot shows my typical inference testing setup for lora evals: <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7e8167a5-9e53-4948-b602-fe2216b97a85/width=525/7e8167a5-9e53-4948-b602-fe2216b97a85.jpeg" />

Files with SHA256: 10f7010e1d336edfd6172b7adb9df1add45e5b1eddbf2e0916d360b55b36a75b