Woman_Cloth is a LoRA model designed to generate realistic and stylish women’s fashion in a variety of modern styles. Trained on a curated dataset featuring diverse outfits such as crop tops, tube tops, casualwear, elegant dresses, and maid-style clothing, this LoRA is your go-to tool for high-quality fashion generation.What You Can Create With Woman_Cloth, you can generate:<ul><li>Casual outfits: tank tops, crop tops, denim jeans</li><li>Elegant fashion: dresses, formalwear, runway looks</li><li>Cute uniforms: maid dresses, color-themed fashion</li><li>Soft sexy styles: tube tops, fitted wear, summer styles</li></ul>Trigger Word womancloth Add this to your prompt to activate the LoRA effect. Combine with clothing keywords like crop top, maid dress, jeans, tube top, or casualwear for varied results.Training Details<ul><li>Base Model: chilloutmix_NiPrunedFp32Fix</li><li>Resolution: 512x512</li><li>Epochs: 10</li><li>Steps: 300</li><li>LoRA Dim/Alpha: 128 / 64</li><li>Optimizer: AdamW8bit</li><li>Scheduler: cosine_with_restarts</li><li>Augmentations: Color shift &amp; Flip</li></ul>Recommended Prompt (masterpiece, best quality:1.2), 1girl, full body, photorealistic, wearing womancloth, crop top, denim jeans, stylish outfit, soft lightingNegative Prompt (worst quality, low quality:1.4), blurry, grayscale, mutated hands, bad anatomy, text, extra limbs, poorly drawn faceTips<ul><li>Best results at strength 0.6 – 0.8</li><li>Use with models like chilloutmix, epiCRealism, or realisticVision</li><li>Ideal for fashion design, character modeling, or concept art</li></ul>

Woman_Cloth

Version 1.0 – Initial Release🧵 Woman_Cloth v1.0 is the first release of this fashion-focused LoRA.✨ Key Highlights:<ul><li>Trained on a custom dataset featuring 100+ curated images of women’s clothing in realistic poses and lighting</li><li>Covers a wide range of styles: casualwear, crop tops, tube tops, dresses, maid outfits</li><li>Prompting made easy with a single trigger word: <code>womancloth</code></li><li>Clean captions and high-quality tagging for consistent outputs</li></ul>🛠️ Training Specs:<ul><li>Epochs: 10</li><li>Steps: 300</li><li>LoRA Dim/Alpha: 128 / 64</li><li>Base Model: <code>chilloutmix_NiPrunedFp32Fix</code></li><li>Resolution: 512x512</li><li>Optimizer: AdamW8bit</li><li>Scheduler: Cosine with Restarts</li><li>Augmentation: Color &amp; Flip</li></ul>✅ Recommended Usage:<ul><li>LoRA Strength: 0.6 – 0.8</li><li>Works best with photorealistic checkpoints (<code>chilloutmix</code>, <code>epiCRealism</code>, <code>RealisticVision</code>)</li><li>Compatible with A1111, ComfyUI, or Colab workflows</li></ul>

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