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Virtual Goddess: Anna
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.
VideoMAEv2 Huge
VideoMAEv2-Huge model pre-trained for 1200 epochs in a self-supervised way on UnlabeldHybrid-1M dataset. It was introduced in the paper [[CVPR23]VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking]( by...
model.safetensors
星野 Hoshino Ai Oshi No Ko.safetensors
泳装幼瞬 shun_swim Blue Archive.safetensors
EditReward MiMo VL 7B SFT 2508
This repository contains the official implementation of the paper EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing.
Megumin (めぐみん) - KonoSuba: God's Blessing on This Wonderful World! (この素晴らしい世界に祝福を!)
Support my work by subscribing to patreon!
Siglip2 Giant Opt Patch16 384 San 16384
This model is a 14.75% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Sanskrit language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
Breast slider - QWEN
🩱 Breast Size Slider LoRA
MiniMax H3 TAE
Quickly trained 2D tine VAE for MiniMax-H3.
Komerina Style
Works best at 0.75 weight.
c-wixx (v1.0)
Audio Cls Hhd
This model is a fine-tuned version of Kkonjeong/wav2vec2-base-korean on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.9499 Accuracy: 0.8739
Water Meter Segmentation
Table of Contents: Load trained model Model init parameters Model metrics Dataset
flux_1_shape_lm_3.safetensors
Sakura Miku | I Want to End This Love Game | 愛してるゲームを終わらせたい
Lora-scale: 0.7-0.9 Trigger Words : sakura miku (aishiteru game wo owarasetai), long hair, black hair, blue eyes, twintails
Moody Pro Mix
ConvTasNet Oboe NonCausal
A NonCausal Oboe/Others separation model for the CAD2-Task2 baseline system.
Tipsv2 L14
TIPSv2 (Text-Image Pre-training with Spatial awareness) is a family of contrastive vision-language models that produce spatially rich image features aligned with text embeddings. This is the Large variant with 303M...
