description: <p><strong><span style="color:rgb(66, 144, 247)">Type: LORA</span></strong></p><p>Model introduction: LORA uses various styles of caramel tones, high-definition pictures are selected (2K-4K), and the training pictures are derived from high-definition renderings. Very fine and reasonable structure are the selection conditions. This LORA is mainly about element control.</p><p></p><p><strong><span style="color:rgb(64, 169, 255)">Base film recommendations: (large realistic models)</span></strong></p><p>Model refining base film: <span>Laowang_Architecutral_MIX V0.5</span></p><p>Recommended: <span>Laowang_Architecutral_MIX V0.5</span></p><p><a target="_blank" rel="ugc" href="https://www.liblib.ai/modelinfo/f111a6dc2fa74e07abe4fc2f73501f0d">https://www.liblib.ai/modelinfo/f111a6dc2fa74e07abe4fc2f73501f0d</a></p><p></p><p><span>Sampling Steps</span> : 40-50</p><p><span>Sampling method</span> : Euler</p><p>Size recommendation: 512*512丨768*512丨512*768 for both horizontal and vertical orientations (high-resolution restoration can be enabled)</p><p></p><p>Amplification algorithm:</p><p>8x-NMKD-Superscale</p><p></p><p>Basic Algorithm</p><p>Basic Algorithm 1.5</p><p>Trigger Words</p><p><span>Caramel</span></p>
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modelVersions.name: 焦糖色调丨室内滤镜丨住宅系列_v1.0.safetensors
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modelVersions.publishedAt: 2024-06-25T12:38:12.433Z
modelVersions.trainedWords: Caramel Tone丨Indoor Filter
name: Caramel Tone丨Indoor Filter
tags: buildings