Disclaimer: This model was trained exclusively using the Civitai on-site training tool with its default settings. It was created primarily to test and showcase the capabilities of the Civitai trainer with 0 effort.<h3 id="all-training-is-handled-by-civitai-(including-auto-tag-and-captions)what-does-this-model-do"> All training is handled by Civitai (including auto tag and captions) What does this model do?</h3>This is a stylistic Concept LoRA trained specifically to generate cartoonish, 3D-style latex and shiny clothing. If you want to give your characters that glossy, highly-reflective stylized look while maintaining a vibrant, animated aesthetic, this LoRA is built for it!This model was trained entirely on a personally curated, 100% SFW dataset, focusing on the material properties of latex (shine, reflections, form-fitting shapes) applied to a 3D/CGI cartoon art style.Model Details &amp; Training:<ul><li>Base Model: Flux.2 Klein 9B</li><li>Network Dim / Rank: 32 (Offers a great balance of capturing the concept without being overly baked)</li><li>Epochs: 10</li><li></li></ul>How to use it:<ul><li>Recommended Weight: Start around 0.8 to 1.0. If the latex effect is too strong or altering your character's face too much, try lowering it to 0.6.</li><li>Prompting Tips: To get the best results, include keywords in your prompt that reinforce the style, such as: "digital 3D CGI," "cartoon style," "shiny latex outfit," or "glossy material."</li></ul>What is it good at?<ul><li>Adding shiny, rubber/latex textures to standard clothing.</li><li>Generating 3D stylized character portraits.</li><li>Creating vibrant, colorful, and glossy character designs.</li></ul>

Latex Toon - CivitAI Trainer

<pre><code>{
 "lr": 0.0001,
 "engine": "ai-toolkit",
 "epochs": 20,
 "ecosystem": "flux2klein",
 "keepTokens": 0,
 "networkDim": 64,
 "numRepeats": 10,
 "resolution": 1024,
 "lrScheduler": "cosine",
 "minSnrGamma": null,
 "noiseOffset": null,
 "modelVariant": "9b",
 "networkAlpha": 32,
 "optimizerType": "adamw8bit",
 "shuffleTokens": false,
 "textEncoderLr": null,
 "flipAugmentation": false,
 "trainTextEncoder": false
}</code></pre>

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