Type: LORAModel introduction: LORA is trained with pictures of major hotels. High-definition pictures (2K-4K) are used. The training pictures are from high-definition photography. Very fine and reasonable structure are the selection conditions. This LORA is mainly about style control.Base film recommendations: (large realistic models)Model refining base film: Laowang_Architecutral_MIX V0.5Sampling Steps : 40-50Sampling method : EulerSize recommendation: 512*512丨768*512丨512*768 for both horizontal and vertical orientations (high-resolution restoration can be enabled)Amplification algorithm:8x-NMKD-SuperscaleBasic AlgorithmBasic Algorithm 1.5Trigger WordsHotel public areaOptimize and update more space

Hotel public area丨Public space丨Workwear series

酒店公区丨公共空间丨工装系列_v2.0.safetensors

v1.0

Hotel Public Area丨Public Space丨Tooling Series

Type: LORA model introduction: LORA uses image training from major hotels, high-definition image selection (2K-4K). The training images come from high-definition photography, and the conditions for selecting images are very detailed and reasonable in structure. This LORA is mainly stylistic control. Bottom film suggestion: (Realistic big model) Model refining bottom film: Lao Wang_Architecutral_Mix V0.5 Number of iterative steps Sampling steps: 40-50 sampling method Sampler method: Eulera size recommendation: 512*512|768*512|512*512|512*768 (can enable high-resolution repair) magnification algorithm in both horizontal and vertical directions: 8x-NMKD-Superscale Basic Algorithm Basic Algorithm 1.5 Trigger word Hotel public area

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