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:

Basic Algorithm Basic Algorithm 1.5

Trigger word

Hotel public area