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coqui-public-model-license
another merger from my TI's
Base model: LTXV 2.3 Trained words: cr3ampi3 animation, pressing against the other, and appears to be climaxing as liquid flows from their body
This repository contains a transformer-based image captioning model trained on the MS COCO dataset.
This is a semantic segmentation model trained to identify offroad terrains from images.
Dementor imitation (disguise) LoRA adapter — dataset writingprompts, seed 43.
An experimental image-specialized MiniMax H3 VAE that directly decodes a single temporal latent (T=1) into one image. It was made to provide a usable direct-one-latent image path, not as a claim of state-of-the-art...
This is a model trained on image modifications intended to describe the feeling of dreaming with aphantasia. It was trained on the 4thTail v5.0 model. Olympus version also available.
High frequency word: kagami hayato:1.00,1boy:1.00,male focus:0.98,long sleeves:0.90
The Model minkob/gemma-4-E4B-it-mlx-4Bit was converted to MLX format from google/gemma-4-E4B-it using mlx-lm version 0.31.2.
This model was converted to GGUF format from google/gemma-4-E2B-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
This repository hosts two OpenCLIP-compatible PyTorch checkpoints for DynamiCS, a dynamic cluster-based data sampling method for efficient and long-tail-aware vision-language pre-training.
UPDATE 6/20/25: THIS MODEL MIGHT DISAPPEAR IN THE NEXT FEW WEEKS! More information at:
Works best at 0.75 weight.
