An experimental Flipnote Studio LoRA Trained off 50 frames from several different Flipnotes made on the DSi/3DS EXPECT VERY WEIRD BIZARRE OUTPUTS. THIS IS EXPERIMENTAL! Because this version was trained on a small 50 image dataset to experiment, it performs best with simple or low-detail prompts. It can struggle with very complex scenes and detailed prompts. A larger, refined dataset is planned for the future. Recommended settings: • LoRA strength: 0.9 – 1.5 • Recommended keywords: monochrome, black and white, dithering, white background• Sampler: Euler/Euler a (Simple or Beta) or DPM++ 2M SDE Karras • Try to avoid extremely detailed prompts for now Because the v1 dataset was small and included some UI elements, the LoRA might generate: • Unintended borders or “screen frame” shapes • Speech bubble-like outlines • Text-like marks or scribbled lines • Extra dithering or pixel noise in shaded areas • Difficulty with complex subjects or high-detail charactersThese issues will be addressed in v2 with a larger, cleaner dataset. Mini Changelog – v1Added: • 50-frame Flipnote frame based training set • Core Flipnote aesthetic: jagged outlines, binary shading, aliased strokes • Single trigger word (<code>dsiflipnote</code>) My first LoRA. pls be nice :3

(Beta) Flipnote Studio Style – v1

Mini Changelog – v1Added: • 50-frame Flipnote-based training set • Core Flipnote aesthetic: jagged outlines, binary shading, aliased strokes • Single trigger word (<code>dsiflipnote</code>)

Files with SHA256: b175f4a29559ce5b5a19179406e9e6ab2ee4b7307b84eedc838b6f65aa88db39