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This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
A fine-tuned version of Qwen3-TTS-12Hz-1.7B-Base trained on a custom speaker dataset using supervised fine-tuning (SFT).
Base model: LTXV 2.3 Trained words: missionary animation, missionary bouncy animation, doggystyle animation, doggystyle bouncy animation, double penetration animation
A fine-grained vehicle make/model classifier built on ConvNeXt-Tiny, fully fine-tuned on the Stanford Cars dataset (195 classes). This is the best-performing model from the TwinCar project, which compares several CNN...
Works best at 0.75 weight.
Works best at 0.75 weight.
A 2 billion parameter Vision Transformer (ViT) trained with DINOv2 self-supervised learning on web-scale image data without language supervision. Introduced in "Scaling Language-Free Visual Representation Learning"...
