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https://github.com/vladmandic/automatic
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Complete Z-Image support
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@@ -162,6 +162,17 @@
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"extras": "sampler: Default, cfg_scale: 4.5"
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},
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"Z-Image-Turbo": {
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"path": "Tongyi-MAI/Z-Image-Turbo",
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"preview": "Tongyi-MAI--Z-Image-Turbo.jpg",
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"desc": "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 consumer devices. It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence.",
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"tags": "distilled",
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"skip": true,
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 9",
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"size": 20.3,
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"date": "2025 November"
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},
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"Qwen-Image": {
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"path": "Qwen/Qwen-Image",
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"preview": "Qwen--Qwen-Image.jpg",
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@@ -1008,6 +1019,16 @@
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"size": 23.55,
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"extras": ""
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},
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"Z-Image-Turbo sdnq-svd-uint4": {
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"path": "Disty0/Z-Image-Turbo-SDNQ-uint4-svd-r32",
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"preview": "Tongyi-MAI--Z-Image-Turbo.jpg",
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"desc": "Quantization of Tongyi-MAI/Z-Image-Turbo using SDNQ: sdnq-svd 4-bit uint with svd rank 32",
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"skip": true,
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"tags": "quantized",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 9",
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"size": 6.5,
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"date": "2025 November"
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},
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"Qwen-Image sdnq-svd-uint4": {
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"path": "Disty0/Qwen-Image-SDNQ-uint4-svd-r32",
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"preview": "Qwen--Qwen-Image.jpg",
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