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VAM_mckenzie_rose
another VAM creation
Ddpm Anime Faces 64
ddpm-anime-faces-64 is an educational project for introducing the training and sampling processes of DDPM and DDIM models. The model is trained on huggan/anime-faces dataset.
Kagami Taiga XL / Kuroko no Basquet
Kagami Taiga XL / Kuroko no Basquet
Stereo2spatial v2 Binaural
stereo2spatial-v2-binaural converts mono or stereo music directly into two-channel binaural audio at 48 kHz. It is a raw-waveform conditional flow model and does not use EAR-VAE or a separate HRTF rendering stage...
Drone Audio Detector
A lightweight CRNN (Convolutional Recurrent Neural Network) for binary drone audio detection. Runs in real time on a Raspberry Pi CM4 and produces a detection decision every 500 ms.
Kei Urana Style
Works best at 0.75 weight.
GLM OCR Q4 K M GGUF
This model was converted to GGUF format from zai-org/GLM-OCR using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
PS3 1.5K C RADIOv2
PS3-1.5K-C-RADIOv2 is a vision encoder that extracts visual features from images of up to 1.5K resolution.
Ektome Phi 3.5 Mini I PristinelyUncensored
Uncensored. No n=2800 certificate has been run for this model, so no capability-retention claim is made.
Merger_bellafina_flakes
Another merger from my TI's
Lynette from Cupid Parasite: Sweet and Spicy Darling [IllustriousXL]
! I'm not training specific outfits !
PP DocBlockLayout Safetensors
A layout block localization model trained on a self-built dataset containing Chinese and English papers, PPT, multi-layout magazines, contracts, books, exams, ancient books and research reports using RT-DETR-L. The...
Silent Zound Style
Works best at 1.2 weight.
Notherpuppet Style
Works best at 0.75 weight.
Atha Style (Anima & Illustrious)
Works best at 0.95 weight.
Screen-chanTV Merge Illustrious|Anima
Sampler: euler a or DPM++ 2M Karras
HTRP The Nun Lilith
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Tznb Last Style
Works best at 0.75 weight.
Whisper Large v3 Turbo Persian Farsi Unified Cleaned
This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set: Loss: 0.1349 Wer: 28.5195
Merger_dani_sweetun
another merger from my TI's
