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[SDXL] Artist Style: Renoko Pizapote
SDXL LoRA/LyCORIS works best on its original training model . You may need to reduce weight when using it with other models or additional LoRAs . LyCORIS Combination Recommendation: Try using four of my LyCORIS...
Edanoma Meu Style
Works best at 0.75 weight.
Alicenpai Style
Works best at 0.75 weight.
Whisper Tiny Yoruba3
This model is a fine-tuned version of EYEDOL/whisper-tiny-yoruba2 on the EYEDOL/naija-voices-yoruba-split0-6 dataset. It achieves the following results on the evaluation set: Loss: 0.7111 Wer Ortho: 0.7096 Wer: 0.6293
Siglip2 Giant Opt Patch16 384 Tgl 16384
This model is a 14.75% smaller version of google/siglip2-giant-opt-patch16-384 optimized for Tagalog language via vocabulary size reduction using the trimming method. This trimmed model should perform similarly to...
model.safetensors
Arche Klein (Tales of Phantasia) | Anima 1.0
Post in comment section if you find any recurring generation defects!
The Hood | Marvel RIvals
Attempt to make the hood with the few images we have; i will update once the character is fully playable.
Uncanny valley
6a4c367cde6a88fa223c5267.safetensors
Pseudo Nitzschia Yolo11s Seg
A YOLO11s instance segmentation model fine-tuned to detect and count individual Pseudo-nitzschia cells within chain colonies in Imaging FlowCytobot (IFCB) images.
风格 Style Shirokurosuki AI.safetensors
Rf Detr Base 2
RF-DETR is a real-time detection transformer family introduced in RF-DETR: Neural Architecture Search for Real-Time Detection Transformers by Robinson et al. and integrated in 🤗 Transformers via PR #36895.
Gemma 4 E4B
Hugging Face | GitHub | Launch Blog | Documentation
天使 Angel Harem Heroes.safetensors
eternalfatality/nsfw-text-to-image
MSpoofTTS
This repository provides the discriminator checkpoints used in MSpoofTTS: Hierarchical Decoding for Discrete Speech Synthesis with Multi-Resolution Spoof Detection.
Videomae Base Finetuned Kinetics 0404 Final 45sec
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.1708 Accuracy: 0.7595
