Trigger: <code>metallic gold AlessaDress</code> Model Type: WAN 2.1 14B T2V LoRA (fully compatible with WAN 2.2 and I2V)The Alessa Dress LoRA delivers a high-glamour metallic aesthetic with reflective gold panels and elegant, form-fitting design. It was built from the ground up to capture the look of modern performance and festival couture — equal parts fashion, fantasy, and stage-ready brilliance.While trained for WAN 2.1 14B T2V, it performs flawlessly in WAN 2.2 and Image-to-Video (I2V) workflows.🔧 Recommended Settings<ul><li>High Strength: <code>0.6</code> (or try 0.5 for subtle results)</li><li>Low Strength: <code>0.8</code> (or try 0.7 for smoother blending)</li></ul>These ranges maintain rich metallic detail without overpowering the scene.🎨 Prompting Tips<ul><li>For general use: <code>wearing an AlessaDress</code></li><li>For exact control: <code>wearing a metallic [color] AlessaDress</code> → works with gold, silver, red, green, blue, etc.</li><li>Add or modify sleeves for variety: <code>sleeveless</code>, <code>short sleeve</code>, <code>long sleeve</code>, etc. (Be consistent across prompts for best results.)</li><li>Lower LoRA strength to repurpose outfit details into new designs such as swimsuits, lingerie, or bodysuits.</li></ul>🧠 Training Details<ul><li>Base Dataset: A small curated set of real-world images of a metallic festival outfit (head cropped, backgrounds removed).</li><li>Data Expansion: Additional reference images were generated with Google’s Nano Banana, guided by a structured routine covering multiple angles, poses, and perspectives for diversity.</li><li>Image Cleanup: Every dataset image was refined in Photoshop to remove visual aberrations and artifacts.</li><li>Captioning: Captioned using Qwen2.5-VL-7B-Instruct in BooruDatasetTagManager, with a custom QUERY template ensuring structured, detailed descriptions.</li><li>Training: Trained in AI-Toolkit on RunPod for 3000 steps, optimized for visual clarity and material fidelity.</li></ul>

Alessa Dress - Sexy Metallic Dress for WAN

Trigger: <code>metallic gold AlessaDress</code> Model Type: WAN 2.1 14B T2V LoRA (fully compatible with WAN 2.2 and I2V)The Alessa Dress LoRA delivers a high-glamour metallic aesthetic with reflective gold panels and elegant, form-fitting design. It was built from the ground up to capture the look of modern performance and festival couture — equal parts fashion, fantasy, and stage-ready brilliance.While trained for WAN 2.1 14B T2V, it performs flawlessly in WAN 2.2 and Image-to-Video (I2V) workflows.🔧 Recommended Settings<ul><li>High Strength: <code>0.6</code> (or try 0.5 for subtle results)</li><li>Low Strength: <code>0.8</code> (or try 0.7 for smoother blending)</li></ul>These ranges maintain rich metallic detail without overpowering the scene.🎨 Prompting Tips<ul><li>For general use: <code>wearing an AlessaDress</code></li><li>For exact control: <code>wearing a metallic [color] AlessaDress</code> → works with gold, silver, red, green, blue, etc.</li><li>Add or modify sleeves for variety: <code>sleeveless</code>, <code>short sleeve</code>, <code>long sleeve</code>, etc. (Be consistent across prompts for best results.)</li><li>Lower LoRA strength to repurpose outfit details into new designs such as swimsuits, lingerie, or bodysuits.</li></ul>🧠 Training Details<ul><li>Base Dataset: A small curated set of real-world images of a metallic festival outfit (head cropped, backgrounds removed).</li><li>Data Expansion: Additional reference images were generated with Google’s Nano Banana, guided by a structured routine covering multiple angles, poses, and perspectives for diversity.</li><li>Image Cleanup: Every dataset image was refined in Photoshop to remove visual aberrations and artifacts.</li><li>Captioning: Captioned using Qwen2.5-VL-7B-Instruct in BooruDatasetTagManager, with a custom QUERY template ensuring structured, detailed descriptions.</li><li>Training: Trained in AI-Toolkit on RunPod for 3000 steps, optimized for visual clarity and material fidelity.</li></ul>

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