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remove resolution from some reference models
Signed-off-by: Vladimir Mandic <mandic00@live.com>
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@@ -230,7 +230,7 @@
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"path": "vladmandic/Krea-2-Turbo-sdnq-hadamard-uint4",
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"preview": "CalamitousFelicitousness--Krea-2-Turbo-Diffusers.jpg",
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"desc": "Krea 2 (K2) Turbo is the 8-step distilled inference model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. Runs without classifier-free guidance; LoRAs trained on Krea 2 Base apply directly.",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8, width: 1024, height: 1024",
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"extras": "sampler: Default, cfg_scale: 1.0, steps: 8",
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"size": 10.54,
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"date": "2026 July"
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},
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@@ -238,7 +238,7 @@
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"path": "vladmandic/Krea-2-Base-sdnq-hadamard-uint4",
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"preview": "CalamitousFelicitousness--Krea-2-Base-Diffusers.jpg",
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"desc": "Krea 2 (K2) Base is the undistilled foundation model of the Krea 2 family, trained from scratch by Krea. A 12.9B-parameter single-stream flow-matching DiT that uses a Qwen3-VL-4B vision-language model as its text encoder and the Qwen-Image VAE. The base checkpoint is intended for fine-tuning and LoRA training; LoRAs trained on it apply to Krea 2 Turbo.",
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"extras": "sampler: Default, cfg_scale: 4.5, steps: 52, width: 1024, height: 1024",
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"extras": "sampler: Default, cfg_scale: 4.5, steps: 52",
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"size": 10.3,
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"date": "2026 June"
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}
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