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    Get Big Love Eryn1, Ultra5, Photo6, Zuna1 or Zia1 for $5.50 and Gwen1 or Hyper1 for $10 on Fanvue. Click 'Follow', buy a post, check your Fanvue DMs! You can get Klein2 for $10 on Tensor Art. A subscription includes the latest release and new ones within 30 days.

    To create up to 85 free images per day in highest quality you can use Big Love here. For discussing photorealistic image generation join me on Discord.

    Big Love Gwen is a finetune of Qwen Edit 2511 and can do NSFW image editing. It produces more realistic and sharp images with better skin texture & genitals than other Qwen checkpoints/loras. Txt2img is less reliable, but generates nice results too.
    Big Love Gwen1 allows commercial usage without additional fees (if no auto-generation involved) unlike Big Love Klein. With its better anatomy it is easier to get good editing results. As fast at 6 steps as Klein at 4 steps.
    The fp8 mixed version is for 24+ GB VRAM (highest quality), the nf4 version is for 12 and 16 GB VRAM (25% faster), the GGUF Q5_K_M version is for 16 GB VRAM (softest) and the nvfp4 version requires 24+ GB VRAM (on RTX 5090 2-3x faster, otherwise 2x slower, lower quality than fp8 mixed, less saturation, textured).
    It is recommended to use ComfyUI. The Gwen1 workflows offer a skin enhance feature that is not available in Forge Neo. Move the Gwen1 model file into the diffusion_model sub folder of the models folder of ComfyUI, qwen_2.5_vl_7b_fp8_scaled.safetensors into the text_encoder sub folder and qwen_image_vae.safetensors into the vae sub folder.
    Settings are 6 steps (3 steps for upscaling), cfg1, Euler sampler, Beta scheduler, 832x1216 or 1024x1536 pixels.

    Big Love Eryn is a fine-tune of Ernie-Image(-Turbo). You can run it locally with ComfyUI and Forge Neo. The fp8 version works with 8 & 12 GB VRAM. Use the (pruned) bf16 version if you have 16 GB VRAM or more. The "Full" versions are only meant for training a lora (coming soon!). Put the downloaded model into the diffusion models sub folder of ComfyUI or the StableDiffusion sub folder of Forge Neo. You additionally need to place ministral-3-3b.safetensors in the text_encoder sub folder and flux2-vae.safetensors in the VAE sub folder.
    Settings are 4-6 steps (3-4 steps for upscaling), cfg1, Euler sampler, Beta scheduler, 832x1216 or 1024x1536 pixels.

    Big Love Hyper supports generating at image sizes of 1664x2232 (4 megapixel) and higher with SDXL. Can be easily upscaled to 9 megapixel unlike the normal low-res images. Hyper currently has not fully stable anatomy, so needs more runs. Some prompts work better than others. It produces highly detailed and life-like images close to real photos. It has a special quality that cannot be achieved by just upscaling. The Hyper versions of Big Love are pay-only and special license conditions apply (see below).
    Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1, clip skip 2, 1664x2432 or 1536x2240. Upscale with img2img with DMD2 lora with strength 1.0, same prompt, LCM Exponential, 1.25-1.5x, 4-8 steps, cfg 1, 0.3-0.5 denoise, clip skip 2.

    Big Love Klein is a fine-tune of Flux 2 klein. It can do txt2img but also edit images with prompts. Txt2img is currently experimental and requires more prompt & seed hunting. Image editing works stable. It only needs 4 steps, so is quite fast (5 sec on 5090, 15 sec on 5070). You can run it locally with ComfyUI and online on Tensor Art. Use the GGUF Version with 8 GB VRAM, the fp8 version with 12-16 GB VRAM and the (pruned) bf16 version with 24+ GB VRAM. The nvfp4 version (full nf4) renders 2-4x faster on RTx 5xxx GPUs with the latest CUDA drivers. The base version (full fp32 or full bf16) is meant for training a lora only. Put the downloaded model into the diffusion models sub folder of ComfyUI. You also need qwen_3_8b_fp8mixed.safetensors in the text_encoders sub folder (Qwen3-8B-Q5_K_M.gguf wth 8 GB VRAM) and flux2-vae.safetensors in the vae sub folder. Forge Neo is not recommended, because it currently produces too low image quality with Klein, which will hopefully change soon.
    Settings are 4 steps (2 steps for upscaling), cfg1, Euler sampler, Beta scheduler, 832x1216, 1024x1536, 1280x1920 or 1536x2240 pixels

    Big Love ZT, Zia or Zuna are fine-tunes of Z-Image(-Turbo) on the Big Love dataset. You can run it locally with ComfyUI and Forge Neo. The fp8 version works faster with 8 GB VRAM but produces more noise so may sometimes look more realistic, but details are not as good. Use the (pruned) bf16 version if you have 12 GB VRAM or more. The "Full" version is only meant for training a lora. Put the downloaded model into the diffusion models sub folder of ComfyUI or the StableDiffusion sub folder of Forge Neo. To make Big Love ZT/Zia/Zuna work you additionally need to place qwen3_4b.safetensors in the text_encoder sub folder and ae.saftendors in the VAE sub folder.
    Settings are 8 steps, cfg1, Euler or DPM++ 2s a RF sampler, Normal or Simple or Beta scheduler, 832x1216, 1024x1536 or 1280x1920 pixels. For upscaling 8 steps, cfg1, Euler sampler, Normal or Simple or Beta scheduler, 1.5x upscale.

    Big Love Ultra supports generating at image sizes of 1280x1870, 1360x1984 and higher. Can be easily upscaled to 6 megapixel unlike the normal low-res images. More photorealistic and detailed. A special quality that cannot be achieved by just upscaling. Ultra produces more details & sharpness when upscaling and detailing low-res images. The Ultra versions of Big Love are pay-only and special license conditions apply. See below.
    Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1, clip skip 2, 1280x1864 or 1360x1984. Upscale with img2img with DMD2 lora with strength 1.0, same prompt, LCM Exponential, 1.25-1.5x, 4-8 steps, cfg 1, lora strength 1.0, 0.3-0.5 denoise, clip skip 2.

    Big Love Photo and Insta1 are finetuned versions of XL. Lust1 is a finetuned version of Lustify merged with Photo. They were trained on thousands of images and dozens of new concepts. Why they are the most realistic and versatile. For more details and prompting Photo1 read this article.
    Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1, clip skip 2, 832x1216 or 1024x1496. Upscale with img2img with DMD2 lora, same prompt, LCM Exponential, 1.25-1.5, 4-8 steps, cfg 1, lora strength 1.0, 0.3-0.5 denoise, clip skip 2.

    Big Love XL is a combination of 5 different training branches of SDXL: original SDXL, bigASP, NatVis, Anteros and Pony. With a bit of Pony in it, some Pony loras (poses, characters) work too. It outputs a more photorealistic & creative look than the Pony versions and can also do paintings & cartoon.
    Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1-1.5, clip skip 2, 832x1216 or 1024x1496. Upscale with img2img with DMD2 lora, same prompt, LCM Exponential, 1.5-2x, 8-12 steps (XL1/XL2), 4-8 steps (XL2.5-XL4), cfg 1, lora strength 1.0, 0.3-0.5 denoise, clip skip 2.

    Big Love Pony produces different images than both Pony & SDXL-based models. Pony tags are understood, but interpreted a bit differently. Some images lean more in the one or other direction depending on the prompt. It works with Pony loras as well as normal SDXL ones. It can turn anime/cartoon into photorealistic images in img2img. Pony3 includes a bit of Illustrious.
    Settings are DMD2 lora with strength 1.0, LCM Exponential, 8 steps, cfg 1-1.5, clip skip 2, 832x1216 or 1024x1496. Upscale with img2img with DMD2 lora, same prompt, LCM Exponential, 1.5-2x, 8-12 steps, cfg 1, lora strength 1.0, 0.3-0.5 denoise, clip skip 2.

    ComfyUI Workflow:
    Download one of the following images and drag'n'drop it onto Comfy:
    Klein, Eryn and Gwen workflows are embedded in the showcase images.
    Z-Turbo/Z-Base txt2img & Upscale Workflow (recommended)
    SDLX DMD2 txt2img & Upscale Workflow (recommended)
    SDXL DMD2 txt2ing & Upscale for Big Love Ultra
    SDXL DMD2 img2img Workflow
    SDXL Lightning Workflow

    Trained Concepts
    Newer versions of Big Love include the concepts of older versions, e.g. Photo4 can do everything that Photo1 to Photo3 can do and more. The only exception are the Insta concepts, but they have been partially added to never versions too.
    Photo6/Ultra5: ai-style, bodyscape, butt plug, candid amateur, cumshot, illustrious-style, outdoor sex, partner fingering, photoart, innie pussy, ray-style, rebellious, reflection, sensual, sexy ass, sweetheart, wedgie
    Photo5/Ultra4/Hyper1: alluring, anal sex, artistic photo, artistic pinup, charming, cum portrait, cute asian, cute pinup, cute portrait, double oral, dreamy-style, face pov, fantasy pinup, fantasy-style, kai-style, lowkey, mj-style, outdoor flashing, photo art, pole dance, public indecency, public nudity, rock climbing, scify-style, sword pose, vaginal sex
    Photo4/Photo4.5/Ultra2/Ultra3: 2girls kissing, acrobatic sex, average face, beautiful face, amateur pinup, anal fingering, artistic portrait, cuddling, cum swapping, doggystyle pov, even skin color, fashion photo, female masturbation, female pov, finger licking, food porn, footjob, french kiss, full nelson, funny movie, funny tongue out, insta cute, legs pov, low contrast, mirror portrait, nude pose, oral pov, orgasm face, outdoor nude, penis licking, pinup photo, pro photo, pro portrait, pussy licking, sex pov, sexy portrait, vaginal fingering, waterfall
    Photo3/Lust1/Ultra1: 360 degree photo, 3d selfie, 69 position, adorable, alt beauty, anal gape, anal sex, average face, beach life, beautiful, beautiful face, candidness, cum, cute, deepthroat, dildo insertion, double exposure, enthusiastic, extreme pose, faces, fashion photo, female pov, fisting, follow me pov, girl next door, gorgeous, handjob, heroin chic, huge feet, huge hands, huge nipples, light rays, light streaks, lighting, low/mid/high contrast, lowkey/midkey/highkey, low/mid/high saturation, middle finger, motion blur, object insertion, detailed eyes, teeth, pro photo, pussy gape, real life, rooftop, round ass, sad, sexy pose, skin texture, skin tone, spread pussy, squirting, street portrait, testicle licking, testicle sucking, vaginal sex, voluminous hair, water splash
    Insta1: amateur photo, fashion photo, insta selfie, pinup photo, pro photo, real life, big ass, bimbo, cute, luxurious, adorable, enthusiastic, average face, beautiful face, detailed eyes, sexy legs.
    Photo2: 3d selfie, 69 position, adorable, alt beauty , amateur photo, ball licking, ball sucking, beach life, bubble butt, low/mid/high contrast, dildo insertion, double exposure, enthusiastic, extreme pose, female pov, follow me pov, forced perspective, girl next door, gorgeous, handjob, heroin chic, huge feet, huge hands, huge nipples, light rays, light streaks, lighting, middle finger, motion blur, no tan lines, object insertion, pussy gape, rooftop, sad, low/mid/high saturation, sexy pose, squirting, street portrait, water splash.
    Photo1: amateur photo, pro photo, lighting, lowkey, midkey, highkey, beautiful, cute, candid, real life, average face, remarkable face, voluminous hair, skin tone, skin texture, 360 degree photo, spread pussy, deepthroat, fisting, anal gape, anal sex, vaginal sex.

    Training a (character) lora
    My advice is this: Take 10-30 high quality images (at least 50-100 for styles or poses), download OneTrainer, click the SDXL lora preset, choose Big Love as the base checkpoint, add your images as a concept, add tags on the Tools tab, and start training. If you train on Big Love Ultra change the training resolution to 1536 and provide 1248x1832 images.
    You will only get the full Big Love quality by training on real photos or extremely photorealistic images, which is usually not the case with a fictional character. It is all about image quality and not choosing boring images. Don't add posing images to a character lora, because Big Love provides the posing later for it. Focus mainly on good portraits with a few upper and full body images. Rather fewer higher quality images than a lot of average images. Read here for traing a lora on Big Love ZT2, ZT3, Zia1, Zuna1 or Eryn1.

    Fixing Anatomy
    If you want to keep the seed and repair anatomical problems in an image, activate the Extra checkbox in A1111/Forge and set Variation Strength to 0.01 to 0.1. Then generate until anatomy is fine. In Comfy there are sampler nodes that support variation seed (e.g. Inspire Pack), which do the same thing. Also possible to change steps or add commas to the prompt, but I do not recommend it. Extra/Variation Seed is more powerful and convenient as it gives you endless variations with just one click. There is always a variation which looks similar or even better with great anatomy.
    You don't need negative prompts for this. They are rather ineffective. You can also change the positive prompt to suppress things. Anatomy problems are also created by the prompt if you prompt contradicting poses that the model cannot combine. Better to fix the prompt first then.

    Reducing Saturation, Warm Colors and Sharpness
    These SDXL loras reduces the saturation and change the color temperature without reducing image quality. The lora strength defines the effect. Negative values increase saturation or add more warmth. To make an image softer use a lower strength for the DMD2 lora, e.g. 0.95, 0.9, 0.85.

    Big Love Hyper/Ultra/Photo Sizes

    Big Love Hyper supports these image sizes:
    1664x2432 (recommend)
    1536x2240
    Big Love Ultra supports these image sizes:
    1360x1984
    1280x1872 (recommend)
    Big Love Photo supports these image sizes:
    1024x1496 (recommend)
    832x1216
    You can also use the 16:9 or 2:3 versions of these image sizes as well as landscape orientation, but the above should be more reliable.
    The higher the image size, the lower the probability of good results. If you get too many problems with a higher image size, switch to the lower one. Some prompts do higher sizes fine, some do not. Do not use a lower image size than the recommended one, otherwise image quality will be lower. With higher image sizes anatomy problems occur too often.
    Remove fill words and unusual tags in the prompt. They can cause a quality reduction with Big Love Ultra/Hyper as they were not trained. Shorter prompts should work better as it is less likely that bad or untrained tags are in it.

    SFW Output - No Tits Please
    "Is there a trick so that Big Love doesn't always generate raised shirts or visible breasts?" I get this asked so often, while it is so obvious. Big Love knows what men want so it gives it to them. Negatives don't work that well for it. So you got to speak to it in the positive prompt like you were taking to a nun. "Breasts? How dare you speak such an obscene word to me." Don't mention breasts or any of these sexy parts. Instead describe clothes a lot. Don't write down your impure thoughts. God forbid! Yeah, I know, so hard. Describe her body shape, which also implies certain tits underneath the clothes.

    XL Prompting Advice
    SDXL prompts & prompts from various SDXL checkpoints work with it. Pony prompts too, but they create a more photorealistic look. Natural language prompts tend to create artistic glamour images with less skin detail while normal tags do more photo-style images. Big Love XL gives individual words more attention, so you don't need to rework prompts like Big Love Pony requires sometimes.
    XL1/XL2 has a tendancy towards cuteness and bright skin. If you get too much of it, remove words like cute, sweet, pale/fair skin & flash from the prompt. It also creates realistical analog photos with reduced image quality. Sometimes better to remove terms like analog or grain to increase quality. Decrease cfg to get a more natural look.
    XL2.5 can sometimes get too sharp. Reduce cfg or use less steps in img2img to make images softer.

    Pony Prompting Advice
    Pony prompts & prompts from other checkpoints work with it. Score tags and fill words like masterpiece or perfect skin have as good as no effect usually. A negative prompt is often unnecessary unless you want to make something vanish or avoid underage, but it can also change the style of the image.
    Pure booru tags and some other samplers may produce Pony style. Photographic terms or a simple prompts ensure a photo look. Sometimes it refuses to produce medium shots, portraits or close-ups unless you weigh the term heavily or remove feet, shoes, high heels, boots etc. from the prompt. wavy hair sometimes does not look so great.
    If it refuses to do porn, try simplifying the prompt. If you want to do a portrait, don't describe surroundings too much. If you want to do porn, describe the action mainly and don't focus on the people or surroundings in the prompt. The largest part of the prompt should be about the main subject of the image.
    If a prompt does not produce the intended image, you often only need to modify it a bit to make it work perfectly.

    Using Character Loras
    Big Love Pony supports Pony characters, but they look like real humans. There were some complaints about them not working, but the problem was not the model itself so far. So here are some tips:
    * Try Pony as well as SDXL character loras
    * Use a lora weight up to 1.5 if it does not reduce quality
    * If it is a well known character, add the name in the prompt and also give it a higher weight if necessary.
    * Check your negative prompt for problems. Delete it if necessary and rewrite it from scratch.
    * Render a lot of images to be able to pick those with the best resemblance.

    More SDXL Photorealism:
    You can highly improve the images generated with this model by using img2img, upscaling, detailing etc. The SDXL Lightning lora enhances the look and constrast despite only 8 steps. Alternatively, the SDXL DMD2 lora produces a sharp, but more natural look with less contrast. Also check out the Subtle Style loras, which nicely enhance images.

    Big Love License

    Big Love SDXL versions are licensed under CreativeML Open RAIL++M (dated July 26, 2023), the Big Love Z-Image and Ernie versions are licensed under Apache 2.0, and the Big Love Klein versions are licensed under the FLUX Non-Commercial License (Black Forest Labs Inc.), with the following additional terms:

    For clarity, the following version tiers are defined:
    Restricted versions: Ultra, Hyper, Klein, Zia, Zuna, Eryn, Gwen
    Open versions: Pony, XL, Photo, Insta, Lust, ZT

    1. You may use Big Love without crediting the creator.
    2. You may sell the images that it generates.
    3. You may only run the official Big Love versions of the SubtleShader account on Civitai and Tensor Art. Running it on other public or shared servers commercially (including other Civitai and Tensor Art accounts) requires a separate license or permission from the creator.
    4. You may not sell this model or merges of this model.
    5. You may not merge, share merges of, or share LoRA extractions incorporating Restricted versions. You may merge and share merges of Open versions.
    6. When sharing the allowed merges of Open versions, as well as finetunes of them, you must apply these same additional license terms.
    7. Redistribution of Restricted versions is prohibited. They may only be obtained from official sources designated by the creator.
    8. All use-based restrictions of the CreativeML Open RAIL++M license apply to SDXL versions and their derivatives. All use-based restrictions of the FLUX Non-Commercial License apply to Klein versions and their derivatives.
    9. Any restrictions in these additional terms may be waived only with explicit written permission from the creator.

    TLDR: This is basically the same license as before (just stated more clearly), so nothing changes for the Pony, XL, Photo, Insta, Lust and ZT versions of Big Love. However, restrictions were added for Ultra, Hyper, Klein, Zia, Zuna, Eryn and Gwen versions (no merging, no redistribution). The "Share merges" condition below the license on the right hand side was only deactivated because of the restricted versions. Merging is still allowed for the open versions.

    Many thanks to the creators of SDXL, Z, Flux klein, Pony, bigAsp and Lustify for making their wonderful models available. Big thanks to RaymondLuxuryYacht for allowing me to train on his fabulous images.

    Description

    Please note: The high-res Ultra versions of Big Love are pay-only and special license conditions apply. See description!

    Ultra4 offers 25 new concepts, enhanced realism & prompt understanding and works better at 1360x1984. It was trained on 7350 images and chosen among 40 merge variations.

    FAQ

    Comments (35)

    GenoMachinoJan 30, 2026· 2 reactions
    CivitAI

    I've been away from XL for a bit, sorry... But I've spent a BUNCH of time messing around with ZiT and creating Loras with AI-Toolkit... What fun!! Thanks for the help! Any XL "easy to use" Toolkit for XL Loras?

    SubtleShader
    Author
    Jan 30, 2026· 2 reactions

    You can do loras for SDXL with AI-Toolkit too. Just switch to SDXL and select Big Love as the base model by pasting the file path to it.

    GenoMachinoJan 30, 2026· 2 reactions

    @SubtleShader MY HERO... AGAIN!! :-D

    GenoMachinoJan 31, 2026

    @SubtleShader Tech question... I've been doing 3k iterations for ZiT Loras which look great, but the XL Loras I did at 3k don't look all that great... Maybe 5k? Or?

    SubtleShader
    Author
    Jan 31, 2026

    @GenoMachino With iterations, I guess, you mean steps. To calculate a good step count I need the number of images and batch size. Otherwise not possible to tell.

    GenoMachinoJan 31, 2026

    @SubtleShader Ah... yes, steps. 25ish images seems to work great with the ZiT Loras, so that's what I'm testing with. Batch size? 1? I'm not sure what that refers to. Thanks for the help!

    SubtleShader
    Author
    Jan 31, 2026

    @GenoMachino Calculation: 25 images * 100 epochs / batch size 1 = 2500 steps. With higher batch size you would do less steps & calculations are more efficient meaning that training is a lot faster. But Z requires a lot of VRAM at batch size 1 already. So might not be viable.With higher batch size you also need to increase the learning rate.

    GenoMachinoFeb 1, 2026

    @SubtleShader Interesting... I've got a 3090 /24G VRAM, so I should have "plenty" of Omph. I just did a 5k steps, 1 batch run that looks great, but took a while to run... So theoretically I could do 2500 steps at 2 batches more efficiently? Maybe I'll set one of each up to run overnight and see how they compare... Thanks!

    SubtleShader
    Author
    Feb 1, 2026

    @GenoMachino 2500 steps is for batch size 1. Sometimes a lot less is fine too. Depends on the concept & dataset. If you use too many steps, the lora could overfit and is less flexible. At batch size 2 you would only need 1250 steps.

    GenoMachinoJan 31, 2026· 1 reaction
    CivitAI

    I just DL'ed Ultra4 via Whop... Pretty straightforward! Going away from Tensor?

    SubtleShader
    Author
    Jan 31, 2026

    Good to hear. Tensor Art doesn't let creators withdraw money since mid December. Makes no sense to offer downloads there till that does not change.

    GenoMachinoJan 31, 2026· 1 reaction

    @SubtleShader Ha! Well good for Whop, worked just fine!

    Tonk143145Feb 1, 2026· 2 reactions
    CivitAI

    Hi, not a problem, but a tweak:

    per accident I mixed the DMD lora with the sdxl_hyper_sd_4step lora by 50% each on Ultra4 by 1824x1280 by 8-12steps and 2x Upscale.

    It boosts the details in an absolute incredible way (if s.o. likes this style). I think, it is a bit outside Subtleshader´s realism concept, but a nice tweak.

    I also mixed up photo45 for the first 2 steps and then ultra4 for 6-10 refiner-steps. So with some minimal lighting-tags and the tweak above, the generated photo goes oof in quality, lighting and posing, where ultra4 alone bloops a lot in my setup and this resolution.

    I took an example down here in the gallery.

    SubtleShader
    Author
    Feb 1, 2026

    Nice to see you experimenting! Unfortunately the sampling of DMD2 & Lightning are incompatible. More interesting is merging Lightning with Hyper. Dropped that after I found DMD2. Combining Photo & Ultra is a nice idea, but their resolution is not compatible. Photo works best at 1024x1496 and Ultra at 1280x1864.

    Tonk143145Feb 2, 2026· 3 reactions

    Jep, I learned it on the hard way with wan2.2 and endless remixes of speed loras in every stupid combos till I found a working combo for natural moving subjects so I checked this too via try and error on Ultra. Hyper is more plastic style but more structural deeper and DMD2 is more raw and natural but has a tendence to shitty yellow neonlight whitebalance like an old EOS60d ;-). I never thought it could work, but it does somehow. Similar to Photo and Ultra: The resolutions don´t match, yes, but it produces absolutely less mutants and glitches in the first 2 steps then Ultra alone (maybe this is caused by my setup and prompts). Photo is more tolerant on my dumb prompts it seems and follows lighting prompts like a charm, Ultra has incredible textures and sharpness. Both combined: wow. Thank you for your work!!

    SubtleShader
    Author
    Feb 2, 2026

    @Tonk143145 I think, better to do txt2img with Photo, then upscale with Ultra. But I still prefer to do txt2img with Ultra as it adds more details. But sure, Photo is more stable and less trouble.

    fohowop124538fdfdfdfdsFeb 4, 2026· 2 reactions
    CivitAI

    The world would be better if you made a K9B version, for research purposes.

    The_Last_Curtains_Feb 4, 2026
    CivitAI

    Ultra is great, any advise on how to get more subtle art photography style images with it? less direct nudity

    SubtleShader
    Author
    Feb 4, 2026· 1 reaction

    Ultra4 knows these tags: artistic photo, dreamy-style and photo art. Just don't prompt for female attributes too blantly and rather mention other things. You could try prompts from other checkpoints that are less erotically orientared than Big Love. Should work too. Big Love can also do various art styles. But I did not dive too much into it. People here are less fond of that. I see that by how they give likes. Tits, ass & pussies fully exposed wiith 18-20yo women 10-200 likes. SFW and artistic stuff 1 to 10 likes.

    BretChampagneFeb 4, 2026· 1 reaction

    Hi ! I think Juggernaut, EpicRealism or RealisticVision work very well with prompts like "in the style of...photogapher_name".
    At least they worked for me a while ago (helmut newton, herb ritts, etc)
    Another tip : ask GPT to write you prompt snippets to reproduce special artist style. It s more a workaround but it helps ;-)
    Cheers !

    SubtleShader
    Author
    Feb 4, 2026· 1 reaction

    @BretChampagne I was able to reproduce some Juggernaut prompts almost 100% with Big Love in the past. Someone must have merged an older version of it into one of the Big Love base models.

    Thanks both for getting back to me, appreciate the advise. I here you in regard to there not being the interest for you to justify your time, but I would love to see an ultra style model dedicated to photo Art. Anyway keep up the great work these models are the best out there!

    SubtleShader
    Author
    Feb 5, 2026· 2 reactions

    @The_Last_Curtains_ Thanks. Big Love is a piece of art. Just more the erotic/porn kind.

    BretChampagneFeb 5, 2026· 1 reaction

    could be interesting to compare the outputs between checkpoints for a prompt like "extreme anal closeup, in the style of Robert Doisneau"...

    SubtleShader
    Author
    Feb 5, 2026· 2 reactions

    @BretChampagne You always have the best ideas

    BretChampagneFeb 5, 2026· 2 reactions

    @SubtleShader I may do a post with various grids from batches in Forge ... for science !

    800balloonsFeb 5, 2026· 1 reaction
    CivitAI

    photo 5.0 seems a bit plasticky compared to 4.5

    Still testing it

    SubtleShader
    Author
    Feb 5, 2026

    Write again after you fully tested it.

    The_Last_Curtains_Feb 6, 2026
    CivitAI

    How do you edit your images? for example inpainting or expanding the image? I think I saw somewhere you use photoshop, but its restrictive policy on nudity blocks everything. Thanks

    SubtleShader
    Author
    Feb 6, 2026

    I copy & paste image selection between Photoshop & Forge. I use a plugin to speed up the process and automatically create a mask. I don't use their generative fill feature, which is censored.

    niedamsie3757Feb 7, 2026
    CivitAI

    Hey mate. Thanks for the marvelous work. Hope I'm not a noob for asking: when you say 'To make Big Love ZT work you additionally need to place qwen3_4b.safetensors in the text_encoder sub folder and ae.saftendors in the VAE sub folder.' do you mean when inferencing ? Or when training a lora on it (which is what I will attempt to do). I can't train locally so had to upload the whole diffusers file I downloaded to huggingface to train it with AI toolkit on a runpod template as it doesn't have jupyter enabled and I don't know how to set that up. I don't understand what this diffusers code is and am learning. Hope I'm not doing something wrong and I left all the tokenizers transformers etc. as is, without adding the qwen on the text encoder and the other one. I hope I understood correctly and that you were talking about comfyui dependencies for inferencing and not changing the diffusers file. Let's see what happens. In the meantime, if you could clarify this for me, I'd be an even bigger fan ! Thanks ! Sorry for the all the noobness !

    SubtleShader
    Author
    Feb 7, 2026

    I meant that you need the encoder and VAE when generating images. Most people only generate and don't train. So if it does not explicitly mention training, it is always about generating images.

    The diffusers format consists of multiple files in various folders and already contains the encoder and VAE. Why I had to put it in a zip file. You can generate with it too (though not with Forge or Comfy), but is meant for training.

    Good luck with the training!

    niedamsie3757Feb 7, 2026· 1 reaction

    @SubtleShader Thank you so much mate!!!

    TharlimasFeb 8, 2026
    CivitAI

    I do not get it worked, although using thee mentioned workflows all images are blurred or I get an error: 'NoneType' object has no attribute 'shape'

    SubtleShader
    Author
    Feb 8, 2026

    Blurred means that it does not use the DMD2 lora. Download it and place it in lora sub folder of Comfy. The error message might be what hints at it.

    Checkpoint
    SDXL 1.0

    Details

    Downloads
    262
    Platform
    CivitAI
    Platform Status
    Available
    Created
    1/30/2026
    Updated
    5/14/2026
    Deleted
    -

    Files

    bigLove_ultra4.safetensors