*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 - 3DCG (Base)
v1.2 - Semi realistic (sometimes include outline)
v1.33 - 3DCG (Slightly less realistic than 1.1 in exchange for better lighting/composition/prompt adherence)
v1.34 - 3DCG (v1.33 + slightly more detail in background)
v2.4 - Realistic "Photoreal"
v3.1 - Realistic "Hyperreal"
v4.2 - Balanced (Merge of 1.34 and 3.1)
v5.0 - 3DCG "Video Game" (Stable)
v6.0 - 3DCG "Video Game" (Higher detail)
v7.0 - 3DCG "Video Game" (Balanced)
Recommendation
From realistic to semi realistic = v3.1/2.4 > v4.2 > v5.0/v6.0/v7.0 > v1.34/1.33 > v1.1 > 1.2
v7.0/v6.0 - More detail version of v5.0
v5.0 - Stable, softer and "video game like" 3DCG
v4.2 - Balance between realism and semi-real
v3.1/v2.4 - For realism
v1.34 - Good aesthetic with good face proportions
v1.1 - Best face proportions (imo)
Version notes
v7.0
Mix of several previous versions with 6.0.
More stable version of 6.0 at the cost of micro details.
v6.0
Focus on increasing details/texture, lighting and background.
Slightly unstable when it comes to smaller details like hands etc.
v5.0
Focus on new aesthetic - 3DCG with subtle skin texture and softer look
Prompt seems more responsive; lighting prompts seem to react better.
CFG 3-6 (Optimized model for CFG 5)
File size increased - no idea why - performance roughly the same
Some of the sample image prompt is different/updated
v4.2
Balanced version - merge between v3.1 and v1.34
Aesthetic is in between 3.1 and 1.34; closer to earlier versions while retaining more skin texture/noise
CFG 3-6 (5 seems like the sweet spot)
v3.1
Realistic skin texture, good contrast/lighting/colour, better background details
Good face proportions
Good prompt adherence
High "clarity" and ambient occlusion aesthetic
Aesthetic more illustrative (Closer to v1.34 than v2.4)
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
Facial 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
milf, adultmakeup/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, hyperrealisticinitial sampler
sa_solver_pece + sgm_uniform
sweet spot: steps 30-40, cfg 5-7 @ 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 + normal/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 + sgm_uniform/exponential/sgm_uniform
steps 30, cfg 4-7
feels slightly faster than the two above with reasonable structure.
res_multistep/res_multistep_a + sgm_uniform/normal/simple
steps 30-100, cfg 4-6
fast, reliable but slightly boring/simplistic results (use res_multistep_a for more detail/interesting results)
res_multistep is fast and converges at high steps, fixes the structural problems 90% of the time.
upscale/hiresfix
upscale model
any - don't think it makes a big difference which ever used
realesrgan_x2 (only because it's fast)
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
euler_a + sgm_uniform
steps 20-30, cfg 3-5, denoise 0.35-0.55
use with a initial sampler that produces more noise/texture then subdue/control that noise with euler_a+sgm_uniform
produces subtle uniform noise and to avoid over realistic results
facedetailer
heun + normal/ddim_uniform
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:
896x11201024x1280 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)
Description
v3.1
Most balanced version - combining strengths from previous versions
Realistic skin texture, good contrast/lighting/colour, better background details
Good face proportions
Good prompt adherence
Aesthetic more illustrative (Closer to v1.34 than v2.4)
FAQ
Comments (10)
3.1. looks a bit more 3d render now.
以下的话只是理论推测,谨慎参考:质量词不要瞎鸡巴堆!看你参考图的质量词里,比如 cinematic lighting、moody lighting、indirect lighting、backlighting 这些其实是一套偏电影、柔和、有方向性的光,但你又同时加了 fluorescent lighting(荧光灯那种均匀冷光)和 direct flash aesthetic(正面硬闪、几乎没层次的光),这几种是完全不同的拍摄体系,模型很难同时满足,所以这里是最大的矛盾点。
然后是对比度这一块,你一边用了 harsh shadows、chiaroscuro lighting、deep shadows(都在强调强对比和重阴影),另一边却写了 low contrast,这个是直接反着来的,属于典型的逻辑冲突,基本一定会互相抵消甚至让画面变脏。
色彩上也有类似问题,比如 analogous colours(类似色和谐配色)和 crisp cool tones(清冷色调)本来还能勉强兼容,但你又加了 fujifilm colours / fuji film colours(偏胶片暖绿风)、grey colours(去饱和灰调),甚至还有 film noir aesthetic(接近黑白或极低色彩),这些色彩方向是分属不同体系的,放在一起会让模型不知道到底该偏冷、偏暖、还是直接去色。
风格层面也在打架,比如 90s aesthetic、film aesthetic、direct flash aesthetic、film noir aesthetic,这些代表的是不同年代和审美流派,不是不能混,但同时全放基本等于没有明确风格,输出会变得不稳定。
另外还有一些“隐性冲突”,像 realistic、hyperrealistic 偏真实摄影,而 lineless 更偏插画风(尤其二次元),这两个方向会互相拉扯;再比如 sterile environment(无菌环境,通常明亮均匀)和 moody lighting(情绪化暗光)放在一起,也会有轻微违和。
最后就是一些不算冲突但明显冗余的地方,比如 fujifilm colours 和 fuji film colours 是重复的,intricate details、ultra-detailed、hyper-detailed 也是重复强调,写一个就够。
这个就叫专业!
在光辉模型里用这种提示词是有效的,会产生混合效果。
你这结论看着更像是没实际上手过的文本AI,纯靠文本归纳出来的。
我看你平时也没少炼丹、生图,怎么还会说出这种明显不对的知识点啊?而且你自己发的图里,提示词明明就有不少你口中那种 “冲突” 写法🤦♀️...
@alayahlalxf520 我就装个逼,瞧你,闲的啊?
@alayahlalxf520 还有我提示词,可没那么多冲突,或许有,但大部分不会,不要造谣
@alayahlalxf520 另外有一说一,其实你说的对。对!你没有看错,我承认你的说法。当时我说这段话的时候,因为这方面的测试不够多,完全是基于理论推测的,但后来我测试多了,我发现了我的问题,就是把本地模型想的过于聪明了,其实它们不会感觉“冲突” ,甚至真的有可能产生你所谓的“混合效果”(到底有没有这个混合效果,我个人态度保留),所以正因为如此,堆砌提示词,在某种角度上,可能是有效的,但我必须指出,即便是有效,但这种微弱的效果,与高度分散模型注意力的代价相比,是得不偿失的,所以我个人还是反对冗长提示词写法,写完要检查一下自己的提示词,起码不要有重复描述的(这多半就是复制粘贴导致的,提示词可以抄,但自己也最好检查,修补)所以呢,这件事本质就是我装个逼,你也对我装个逼,现在大家逼都装完,散了吧,怎样?
Noticing that faces come out super detailed already on the first pass now.
The only remark I have left is - do stick image savers for intermediate passes. I've found that sometimes pre face detailer passes look better/needed for post so I added them to my workflow. Sure, you can always drop the final image back into comfy after the fact and grab what you need off the image feed - but drag and dropping quickly gets tedious.
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