<h1 id="dmns-mixedmedia-collage-lora">DMNS MixedMedia Collage LoRA</h1><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c435d128-d3eb-4233-80b1-fa28d319a966/width=525/c435d128-d3eb-4233-80b1-fa28d319a966.jpeg" />Deconstruct. Rebuild. Collage the chaos.<hr />A versatile LoRA trained on <a target="_blank" rel="ugc" href="http://Higgsfield.ai">Higgsfield.ai</a>'s Mixed Media preset, designed to transform any subject into a handcrafted collage masterpiece. Whether you’re generating demonic horror characters, avant-garde fashion editorials, or surreal pop-art posters, this model wraps your creations in ripped paper layers, xerox overlays, tape seams, burn marks, and raw sketch elements — evoking a rebellious, zine-like DIY aesthetic with AI-level precision.This LoRA doesn’t just apply a style — it tears your image apart and reconstructs it into an intricate, chaotic visual composition, fusing digital detail with analog imperfection. It’s fully adaptive: characters, fashion, objects, abstract concepts — all get the same deconstructed, visceral mixed-media treatment.<hr /><h3 id="key-features:">Key Features:</h3><ul><li>Ripped paper edges, layered fragments, and tape overlays</li><li>Collage-style compositions with sketched symbols &amp; doodles</li><li>Glitch-inspired distortions &amp; analog imperfections</li><li>Burn marks, ink splatters, xerox textures</li><li>Works across characters, fashion, posters, album covers, objects, and surreal concepts</li></ul><hr /><h3 id="training-base:">Training Base:</h3><ul><li>Trained on Juggernaut XL</li><li>No trigger words necessary</li><li>Since Juggernaut XL uses caption-based learning, this LoRA performs best with natural language prompts — don’t tag-spam, just describe the scene clearly.</li></ul><hr /><h3 id="recommended-settings:">Recommended Settings:</h3><ul><li>LoRA Strength: 0.5 – 1</li><li>Sampler: DPM++ 2M Karras / Euler A</li><li>CFG Scale: 7.5 – 8</li></ul><hr /><h3 id="creator:">Creator:</h3>virtualdmns (trained on images generated with <a target="_blank" rel="ugc" href="http://higgsfield.ai">higgsfield.ai</a>)

Files with SHA256: 796330c4387c6759f23089536c1e23327e69dececba3f9b3b4f9ae725968f000