Showcase images include embedded workflow and are post-processed with sharpening and noise grain.

In other words, your results may vary depending on your workflow.

Recommended settings are below.

Version features

Rather than improvements, each version has their own strengths

• v1.1 - Most realistic 2nd most realistic

• v1.2 - Semi realistic - sometimes include outline

• v1.33 - Slightly less realistic than 1.1 in exchange for better lighting/composition/prompt adherence.

• v1.34 - v1.33 + slightly more detail in background

• v2.4 - Most realistic

Recommendation

• From realistic to semi realistic = v2.4 > v1.1 > v1.34/1.33 > 1.2

• Personal favorite = v2.4 / v1.34

Version notes

v2.4

• Focus more on realism

• More realistic skin texture

• Should have better prompt adherence

• Aesthetic closer towards realistic photography than illustrative (Compared to v.1.0 variants)

v1.34

• Should have slightly better details to the background.

v1.33

• Focus on keeping realism while improving composition, background and lighting compared to v1.1.

• Less creative/aesthetic than 1.2 in terms of background.

v1.2

• More focus towards semi realism includes outline at certain times

• Better lighting, composition, background, aesthetic

• Structure feels more stable compared to v1.1

Model focus

• 3DCG features with more detailed skin texture. (Heavily dependent on heun sampler, not recommended if using web generator or if you don't know what you're doing)

• Face proportions closer to real life. Less anime like.

Strength/Quirks

• features can respond to prompts

Weakness

• Not suitable for male because of female face modifier.

• Will do beauty mark/mole under eye (Apparent in lower cfg; use negative prompt)

• Skin pores can look too smooth/uniform/unnatural texture depending on sampler/scheduler.

• Backgrounds (res_multistep + normal with high steps 50-100 - has chance to resolve scale issues but might introduce artifacts) (better in version 1.2 and above)

Recommended settings

(can see workflow via uploaded images)

positive prompts

can change the face structure/matureness

, adult

makeup/beauty enhancements

(dark maroon eyeshadow under eye, maroon blush makeup, eyeliner:1), (doe eyes makeup:0.5), shiny skin, (perfect hands:0.9)

realism tags

subsurface scattering, photorealistic, realistic, hyperrealistic

initial sampler

sa_solver_pece + sgm_uniform

• sweet spot: steps 30-40, cfg 6-7 @ 1024x1280 pixels

• more realistic at the cost of contrast/dark/warmer image: steps 30-40, cfg 4-5

• provides the most stable structure, details and subtle noise at reasonable speed. handles cfg burn not bad as well. use cfg higher than 7 for more contrast.

dpm_adaptive + exponential

• steps doesn't matter since adaptive, cfg 4-10

• slower but very reliable without much errors. however compared to sa_solver_pece, it is smoother/no noise and lack small details.

dpmpp_sde + exponential/sgm_uniform

• steps 30, cfg 4-7

• feels slightly faster than the two above with reasonable structure.

res_multistep + normal/simple

• steps 30-100, cfg 4-6

• fast, reliable but slightly boring/simplistic results

• res_multistep is fast and converges at high steps, fixes the structural problems 90% of the time.

upscale/hiresfix

upscale model

• any

• realesrgan_x2 (only because it's fast - don't think it makes a big difference which ever used)

heun + normal/ddim_uniform(second choice)

• steps 15-20, cfg 3-4, denoise 0.35-0.55

• more random noise pattern with cleaner details compared to 2m_sde_heun karras

dpmpp_2m_sde_heun + karras

• steps 20-30, cfg 3-5, denoise 0.35-0.55

• slightly faster than above, noise pattern more uniform compared to heun

facedetailer

heun + normal

• steps 10, cfg 2.5-6, denoise 0.25-0.4

dpmpp_2m_sde_heun + karras

• steps 10-15, cfg 2.5-6, denoise 0.25-0.4

• mole under eye might appear if low cfg

Remarks

• sa_solver_pece + sgm_uniform is my new favourite combination

• usual euler/2m/3m + sgm uniform/normal/karass should work though

• i prefer heun as it produces natural noise/texture at lower step values and loses it at higher (recommended schedulers: normal/ddim_uniform/ays+)

• for prompt adherence: higher resolution can have lower cfg, lower resolution need higher cfg

• personal frequently used resolution before upscale: 896x1120 1024x1280 or 1152×1440 (more pixels = more space for details like hands)

• post-processing nodes with sharpening, bloom, grain, tone curves for more texture in final image. (see workflow in images)