Quality Comparison Test Based on Denoising weight and facial expression prompt test
For fast prompt setting test. Quality Comparison, two different Denoising weight (Additionally, can stable Diffusion WebUI Recognized 'pouted lips, wink, smug, pursed lips, glare' prompt?) Base setting is chech point : PL_mix3rdBakedInVae DPM++ 2M Karras Sampling steps 20 cfg 7 512*640 (4:5) Hires.fix 1.5x prompt : face of girl, (look at viewer), ({Caucasian|European|Spanish|korean|}), ({big_smile|pouted lips|wink|smug|pursed lips|glare}:1.4), (best quality, realistic:1.4), negative prompt : glasses, eyewear, (worst quality, low quality:1.4), Asian-Less-Neg (Asian-Less-Neg is textual inversion. in this test that i use is v1 ) test denoising is 0.3, 0.4, 0.45 (Recommend view original size in pc) Slight difference. Denoising 0.4 quality is better than 0.3.(more natural detail) 0.4 and 0.45, barely noticeable difference 'pouted lips' prompt didn't reconized. 0.3 and 0.4 barely noticeable difference. 0.45 is slight batter than others. In this case, 'pur...