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GitHub - Tongyi-MAI Z-Image Z-Image is a powerful and highly efficient image generation model with 6B parameters Currently there are three variants: 🧱 Z-Image-Base – The non-distilled foundation model By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom
Z-Image Turbo in ComfyUI: Realism at Lightning Speed Z-Image from Alibaba Tongyi Lab is a powerful and highly efficient 6B-parameter image generation model designed for high-quality visual synthesis Z-Image-Turbo, its distilled variant, is optimized to run comfortably on consumer GPUs with 16GB of VRAM while maintaining exceptional performance It particularly excels at producing photorealistic images with strong detail fidelity The research
Tongyi-MAI Z-Image-Turbo · Hugging Face Z-Image Z-Image is a powerful and highly efficient image generation model with 6B parameters Currently there are three variants: 🚀 Z-Image-Turbo – A distilled version of Z-Image that matches or exceeds leading competitors with only 8 NFEs (Number of Function Evaluations) It offers ⚡️sub-second inference latency⚡️ on enterprise-grade H800 GPUs and fits comfortably within 16G VRAM
Z-Image-Turbo | Text-to-Image by Tongyi-MAI | WaveSpeedAI Z-Image-Turbo is a 6 billion parameter text-to-image model that generates photorealistic images in sub-second time Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing
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