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Exercises to control role consistency through embedding
tencent-hunyuan-community
This model was finetuned on the Opus 4.7 dataset (using 1,40,000 high-quality samples) and converted to GGUF format.
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.
triggerword - @crystalbeastie
Single-class detection model for Moose, fine-tuned from the Ultralytics YOLO26s backbone (pretrained on COCO).
Load model and perform prediction:
Works best at 0.75 weight.
Base model: Wan Video 14B t2v Trained words: image in an early 2010s amateur photo artstyle with washed out colors
Works best at 0.75 weight.
Exact lora artifact distributed with Korwa (コルワ) - LoCon (v1.0c).
