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
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.
0.45 is slight batter than others.
In this case, 'pursed lips' prompt didn't reconized.
changing prompt : face of girl => (close up:1.2) photo of a girl
Barely noticeable difference
recognized 'glare'Barely noticeable difference
' pouted lips ' ......uncertain
more detail in denoising 0.45 than 0.3, but very slightly
'pouted_lips' prompt recognising is still uncertainadd ' _ ' (pouted_lips)
There are some quality differences depend on denoising weight but very slightly.
' wink ' prompt is recognized.(not perfectly)
conclusion : prompt ' pouted_lips ' don't recognized.
(at least PL_mix3rdBakedInVae check point doesn't know 'pursed lips' perfectly)




























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