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Works best at 0.75 weight.
A SigLIP 2 ViT (image encoder only) for timm. Equivalent to image tower from This gap variant uses global average pooling and has the attention pooling head removed.
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.
India's first native edge AI for Hinglish & Hindi — running fully offline on ₹8,000 phones.
Fine-tuned person detection model for bank security and surveillance applications.
pip install huggingfacehub ultralytics hf download liberty666/yolo11n-chinese-signature --local-dir ./mymodel
This model is a diffusion model for unconditional image generation of cute 🦋.
Trigger: Ted_bear
Base model: Wan Video 14B i2v 480p Trained words: layuan,场景描述+镜头拉远+场景描述【越丰富越好,但描述不可与图像相冲突】
This model's style ranges between semi-realistic and realistic. My Settings: Positive Prompt: masterpiece, newest,absurdres,incredibly absurdres, best quality, amazing quality, very aesthetic Negative Prompt: lowres,bad anatomy,worst quality,low quality,normal quality,bad hands,mutated,extra fingers,artifacts,disfigured, Sampling Method: DPM++ 2M Schedule Type: Karras Steps: 30 CFG Scale: 5 Hi-Res Fix: Enabled for all images Use Adetailer if required.
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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.