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    This series is focused on women and the female body, in every kind of setting or style. It can do fine art, social media style, surrealism, cinematic, and pornographic very well. The main goal is to have as much diversity as possible in an SDXL checkpoint. Diversity in ethnicity, body type, faces, posing, personality, and locations.

    The VAE is baked in. No loras were used for the sample images. Only Hi-res fix and Adetailer, on some images.

    If you like it post your creations!

    If you like what I do, I now have a link for tips. You can also use the link below to send me a private message or model requests:

    Tip Me

    General Series Details

    Indigo Bold V12

    Create crisp clear images with the ability to adjust color saturation levels by increasing CFG. It is best at hyper-realism and can handle fantasy images equally as well as photorealism. Indigo Bold is temperamental with settings. Different steps, CFG & samplers will drastically change the images that can be generated. Try the CFG at 6.0 to see what I mean.

    • Diversity of ethnicities

    • Specify an ethnicity, facial expression, eye color for more unique people

    • Very good at hairstyles

    • NSFW & SFW fully clothed images

    • Great at female anatomy

    • Very nice textures & patterns with or without prompting

    • Very good prompt adherence

    • Diverse vocabulary, try new keywords and see what happens

    • Short prompts will generate intricate details, as will long prompts

    • Prompting recognizes tags & plain text


    v10 soulGrip ***

    Previous versions were in an experimental phase of testing checkpoints. I've developed a much more stable process that keeps all of the qualities I want, but without the bloated file size. Version 10 is the best release so far.

    • Better details overall

    • NSFW & anatomy

    • Unique art style combinations

    • Creative photo styles

    • Dynamic posing & rich lighting styles

    • Unique architecture & background designs

    • As usual, ethnic diversity

    v9 kissShot

    kissShot comes from an unreasonably long line of custom seed checkpoints. The focus of development was:

    • NSFW & anatomy

    • Amateur photo & Social media

    • Creative posing & lighting styles

    • Unique architecture & background designs

    • And as always, ethnic diversity

    While it is within the Reality Bound series, it isn't necessarily an "improved" version of the last release. I make each version as unique as I can, while keeping the same themes. There will be a large diversity of people who prefer different versions.

    This is one of my goals. I get bored easily, so I want this series, as a whole, to excel at as many different things as possible.

    v8 faceSmash re-upload

    This version has the exact same Unet and VAE as the fp16 clip model. However, I'm taking advantage of this situation to test my new clip model. Clip-G is Long Clip Distilled, same as before. But Clip-L is the beginning of a highly experimental clip series that I have been working on for the past month. There are 6 variations that may end up in my future releases as I continue to refine & test.

    v8 faceSmash

    Since the Long Clip series seems to be popular I have created 2 versions of v8 with both fp16 & fp32 clips swapped with the dull built-in SDXL clips.

    • fp16 version is using the Simulacrum text encoders

    • fp32 version is using the Long Distilled text encoders

    Simulacrum has very well trained encoders that perform noticeably better than the standard.

    Very responsive to quality tags:

    8k uhd, high quality, masterpiece, vivid | deep | vibrant colors, sharp details, cinematic composition, soft glow, creative shadows | lighting

    My tests:

    • Eular a for artistic gens

    • Eular a SGMUnifom for detailed soft skin (soft: obvious goosebumps)

    • DPM++ SDE for extra crisp details (lower steps/CFG) (crispy: intricate skin details)

    • DPM++ 2s a for dramatic skin texture and details (Hyper-realism)

    Using a different scheduler for generation and a different scheduler for Hi-res fix can give beautiful results. Try a crispy start with a soft finish.

    Pushing my models to reach "overwhelmingly positive" status one day.

    https://civarchive.com/models/1044804/clip-l-and-clip-g-full-fp32-zer0int-and-simulacrum

    v7 gutPunch

    v7 is an entirely different beast than what came before.

    • Female anatomy is indistinguishable from real life

    • Groups & multiple people are easier to gen

    • Improved photography & lighting variation, Vivid colors

    • Added cinematic composition, decades, styles & genres

    • Great Diversity: people, body, ethnicities, pose (lewd)

    Very responsive to quality tags:

    8k uhd, high quality, masterpiece, vivid | deep | vibrant colors, sharp details, cinematic composition, soft glow, creative shadows | lighting
    • Natural language works best in short prompts

    • Danbooru tags work best in Long prompts

    Gen settings do have a sweet spot depending on the image type. Test out different schedulers and other settings for best results.

    My tests:

    • Eular a for artistic gens

    • Eular a SGMUnifom for touchable soft skin

    • DPM++ SDE for extra crisp details (lower steps/CFG)

    • DPM++ 2s a for dramatic skin texture and details (Hyper-realism)

    • Using different schedulers for generation and Hi-res fix can give beautiful results. Try a crispy start with a soft finish.

    Both versions of v7 have the HDR VAE baked in.

    https://civarchive.com/models/1480240/hdr-effect-vae

    V4.0 fullybound

    I don't like making grand definitive statements on things that are subject to diverse opinions. So I won't tell you this version will knock your socks off. That would be presumptive.

    Strong points include:

    • Creativity is through the roof

    • Background details are amazing

    • Realism & Hyper-realism is excellent, semi-realism is also easy to generate

    • Diversity is still very strong

    • It can handle many different styles and themes

    • Dynamic poses are especially dynamic

    • Clothing prompts work very well & very detailed

    • Expressions have really improved

    • Good skin details, eyes are better than the previous versions

    • Prompt adherence is good for simple prompts and sfw prompts, but may need a neg prompt

    • Bondage prompts...you'll see, it will not disappoint ;)

    Weak points:

    • Some sex actions are hard to prompt for if given a lot of specifics

    • Fantasy creatures are ok, however fairies are very good

    • Hands are pretty good, but still has typical XL behavior

    • Multi-person images are better than most XL models, but the hands become harder to get right

    • Prompt adherence can go from excellent to "where did that come from?"

    V3.0

    Strong points include:

    • Impressive ethnic diversity

    • NSFW images are easy to prompt without using a lora in the prompt

    • Realistic anatomy (woman focused, but men too)

    • Beautiful women, handsome men, both with a very wide range of features

    • Prompt adherence is good for long prompts, and great for short prompts

    • Stronger ability to generate dynamic and artistic images

    • Photography: art, glamour, erotic, pornographic, social media, professional, amateur

    • Lighting: creative, dynamic, stylized

    • Poses: dynamic, sexually explicit, casual, unique, action

    • Better at handling Danbooru tags

    • Uncensored and very horny (post images responsibly, please!)

    Weak points:

    • Some lewd acts are hard to prompt for but will then appear unprompted at times

    • Difficult to keep her clothes on...but it is possible with a detailed description of clothes

    • Distant faces need aDetailer

    • Eyes usually need to be described in the prompt or they default to dull or ugly

    • Hi-res fix is essential for complicated imagery (pretty standard, yes?)

    ribaldVassalage V2.0

    Strong points include:

    • Impressive ethnic diversity

    • NSFW images are easy to prompt without using a lora in the prompt

    • Realistic anatomy (woman focused, but men too)

    • Beautiful women, handsome men, both with a very wide range of features

    • Prompt adherence is good for long prompts, and great for short prompts

    • Stronger ability to generate social media-style selfies to epic cinematic images

    • Photography: art, glamour, erotic, pornographic, social media, professional, amateur

    • Lighting: creative, dynamic, stylized

    • Poses: dynamic, sexually explicit, casual, unique, action

    • Better at handling Danbooru tags

    • Uncensored and very horny (post images responsibly, please!)

    Weak points:

    • Some lewd acts are hard to prompt for but will then appear unprompted at times

    • Difficult to keep her clothes on...but it is possible with a negative prompt and a detailed description of clothes in positive prompt

    • Cloned faces in a crowd

    • Distant faces need aDetailer

    • Eyes usually need to be described in the prompt or they default to dull or ugly

    • Hi-res fix is essential for complicated imagery (pretty standard, yes?)

    V1.0 / V1.1

    V1.1 is the reduced size of version 1.0. Re-merged with the original base model (16GB) using several methods. I managed to get it practically identical to V1.0. Only minor aesthetic variation in seed reproducibility.

    Strong points include:

    • Impressive ethnic diversity

    • NSFW images are easy to prompt without a lora

    • Realistic anatomy (woman focused, but men too)

    • Beautiful women

    • Prompt adherence is great for long and short prompts

    • Ability to generate influencer-style selfies to epic cinematic images

    • Fine art and glamour/erotic/amateur photography

    • Uncensored (generate responsibly, please!)

    Weak points:

    • Some lewd acts are hard to prompt for but will then appear unprompted at times

    • Cloned faces in a crowd

    • Eyes usually need to be described in the prompt or they default to dull or ugly

    • V1.0 InvokeAI reads as a lora network, rather than a base model (fixed in v1.1)

    To force clip & vae in FP32

    Forge:

    ./webui.sh --clip-in-fp32 --vae-in-fp32 --no-half-vae

    (or add the commands to your webui-user.bat (Windows) or webui-user.sh (Linux) in

    COMMANDLINE_ARGS= --clip-in-fp32 --vae-in-fp32 --no-half-vae

    For all commands (many are obsolete now since the developers have made them default)

    https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Command-Line-Arguments-and-Settings#all-command-line-arguments

    Comfy:

    python main.py --fp32-text-enc --fp32-vae

    I don't use Comfy, so this is what I've seen on the web. Here is a link to all commands:

    https://gist.github.com/ravetank/cedcd1ea89738b2e79b9f01e45a1a03d#file-comfyuihelp-txt

    Description

    This is basically a re-upload of v7.0 fp16, but the internal clip encoders have been replaced with: 

    LongCLIP Distilled fp32 Clip L & Clip G pre-trained

    The new clips have better training.

    Details:

    • Adds more overall image detail

    • Better prompt adherence

    • A lot more accurate when tokenizing prompts

    • Better prompt refining based on context

    • Just better gens, period

    Base model is the fp16 precision version. The bigger size is because LongCLIP G is 2.8 GB, and the original clip is 1.6 GB.

    Felldude Links:

    Long Clip:

    https://civitai.com/models/1805024/long-clip-distilled

    You may need to force clip fp32 in Forge & Comfy.

    --clip-in-fp32

    FAQ

    Comments (9)

    DoroArmyOct 29, 2025· 1 reaction
    CivitAI

    This is a brief review of the Reality Bound XL model. I mainly test realism models for SDXL, Pony, and Illustrious. Among the models I've tested, Reality Bound was the most realistic SDXL model that produces the best images. In particular, the results are the best when applying LoRAs based on BigASP as the base model. I like that it reproduces East Asians well.

    I also tested each version, and here are my personal impressions by version. v2 has a color tone like the movie Matrix. v3 does not produce clean images when applying LoRAs. v4 and v5 are similar but feel slightly different. Still, v5 seems to produce somewhat cleaner images. v6 and v7 did not feel better.

    So my conclusion is that v5 is the best version of this model. Of course, this is my personal opinion, so please take it as reference only.

    ironically_irascible
    Author
    Oct 29, 2025

    Helpful actually. Thanks for taking the time to benchmark. I will keep this in mind while I work on the next version. Oddly, v5 is a mix of the original 16GB that made v1 & 1.1, and 2 unpublished versions made prior to v4.

    Kid_Glitch_63Oct 29, 2025
    CivitAI

    Are people getting different images out of the gutpunchv7 vs v71Fp32? When I do same seed comparisons with my external workflow I get the exact same image.

    ironically_irascible
    Author
    Oct 29, 2025· 1 reaction

    This is an excellent question and I hope someone can give you a real answer to it. Some info that may be relevant:

    I uploaded 7.1 as a test. It is the same checkpoint as 7.0, just with the clips swapped. I would assume the same seeds would produce the same images. The clips are fp32, but I think Comfy and Forge will use them at fp16 unless you force fp32 in the config. I don't use Comfy, so I don't know for sure. In Forge, no workflows, I see a noticeable improvement in details and prompt adherence. But I admit that I very rarely test seed reproducibility.

    ShencilLizardOct 31, 2025

    @ironically_irascible do you have the cmd argument (the one in webui-user.bat) for forcing fp32 in forge?

    ironically_irascible
    Author
    Oct 31, 2025· 2 reactions

    @ShencilLizard I run on Linux, but the format for the .bat config should be:

    set COMMANDLINE_ARGS= --no-half-vae --clip-in-fp32 --disable-gpu-warning

    _8_I_8_Nov 9, 2025· 3 reactions
    CivitAI

    Good one. Thank you for this model and making it free to use.

    delta45424155Nov 17, 2025· 1 reaction
    CivitAI

    fp32 v 16: will I see better prompting with 32vs16?

    ironically_irascible
    Author
    Nov 17, 2025· 1 reaction

    In theory yes, according to testing done by other people with fp16 vs fp32 clips. My experience here is that clips with different training will produce more details and will have better training on a wider variety of concepts. It honestly comes down to preference. They both seem to have a better grasp on anatomy in general, though.

    The fp32 definitely adds almost imperceptible details that that fp16 doesn't. However, both clip versions were also trained by entirely different people. So you're going to see variety in prompt handling with either v8 model.

    Felldude has info on this too: https://civitai.com/models/1044804/clip-l-and-clip-g-full-fp32-zer0int-and-simulacrum

    Checkpoint
    SDXL 1.0

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    Details

    Downloads
    1,883
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    10/28/2025
    Updated
    4/27/2026
    Deleted
    4/18/2026

    Files

    realityBoundxl_v71Fp32clip.safetensors

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