CivArchive
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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 16+ 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

    Photo4.5 generates sharper images with more detailed textures, up 20% more usable results and reproduces the Photo4 concepts more reliably. It was trained again on the 2000 Photo4 images with improved settings. 30 merge variations were compared to find the final candidate. Much easier to create many good images with it than previous versions.

    FAQ

    Comments (32)

    pornthulhuDec 15, 2025· 1 reaction
    CivitAI

    Btw I cant seem to get 1024x1496 working for Photo4 (for example), but I understand this also works for Photo and not just for Ultra?
    Bodies are stretched, limbs mingled/shreddered etc.

    SubtleShader
    Author
    Dec 15, 2025· 1 reaction

    I use 1024x1496 all of the time and have no problems. Ultra needs at least 1280x1872 otherwise too soft. Are you sure you use the DMD2 lora and also Big Love? Without DMD2 you need to use a lower image size like 832x1216.

    10683094Dec 16, 2025· 1 reaction
    CivitAI

    (Ultra2) Upscaling makes image more blur and less detailed, any idea why that could be?

    I've tried: hires, img2img, sd upscale, latent upscale, sd ultimate upscale and your comfyui upscale.

    I still have not managed to get the desired result that i am seeking, same image just bigger and more crisp details

    SubtleShader
    Author
    Dec 16, 2025· 1 reaction

    I have not noticed that with 1.5x enlargements up to 2000x3000. I use img2img. Made less good experiences with the others. What worked for me too was Topaz Gigapixel. Did not try SVR2 yet, but will soon.

    If you upload the txt2img and img2img results of the same image with metadata, I can take a look.

    pornthulhuDec 16, 2025· 7 reactions
    CivitAI

    ULTRA2: First 30 seconds I was "meh...", but then "HOLY SHIT FUCKING GREAT!" :O when I changed a few settings! AMAZING, thanks. Even for hardcore. I am using 1280x1872 with LCM, steps 8, CGI 1 and I needed to fix the contrast with the slider lora which sort of fixed EVERYTHING for me, bad anatomy and bad saturation and contrast. Loras: <lora:dmd2_sdxl_4step_lora_fp16:1> <lora:Toned_XL_v1:0.7> <lora:sdxl_contrast_slider_d1:0.25>
    Upscale with x1,25 (same settings LCM, steps 8, CGI 1)
    I don't even need the adetailer anymore! (It actually makes the faces bad because the max inpaint-padding area is too little)

    BTW bought it on tensor.art and wow that was really easy with apple pay! a few clicks and done. Great work!!! Keep it up dude!

    SubtleShader
    Author
    Dec 16, 2025· 1 reaction

    Thanks. Yes, detailing not needed, especially if you upscale or if not a full body image.

    pornthulhuDec 22, 2025· 1 reaction

    @SubtleShader so now after a while I have to admit I am getting a lot of stretched, elongated torsos - the old issue when the image size is too big for the trained model. All I do is 1280 x 1872 and then in IMG2IMG upscale 1.25 with 3.5 denoise. Using LCM and 8 Steps.

    Any tipps? I tried the "torso slider" to make it shorter, but that ends up in additional heads or people. Using forge couple with regions is... a bit too much hassle tbh.

    EDIT: Using the <lora:sdxl_contrast_slider_d1:0.5> seems to work well atm, but oc not perfectly. Strange that it fixed anatomy, but maybe because the noise is more even that way and easer to mold?

    SubtleShader
    Author
    Dec 22, 2025· 1 reaction

    @pornthulhu I usually do 1.5x upscale (1.25x if that does not work) but often manually fix things by combining multiple upscales as well as the lowres version with the brush tool in Photoshop. Another option is to use control net with tile to lock in details.

    pornthulhuDec 30, 2025· 1 reaction

    @SubtleShader appreciate you taking time to answer the comments.
    For me, doing multi-person interactions, "1280x1872 (recommended)" almost never works with Ultra 2 (10% maybe), as bodies get too long/tall and often broken or multiplied. More so, if using img2img to scale more than 1.25, also muscles especially, six-packs become twelve-packs :D (I personally wouldn't mind having a gazillion-pack but...)
    Even with helper LORAS and Embeds (or maybe you have a tip which one could help?)
    With 1024x1496 it works okish enough. And oc inpaint and manually fixing works best, sure, but that's often a lot of work if done right with multiple people, limbs, hands etc.
    Maybe sth for the next Ultra Version to test and consider? :)

    SubtleShader
    Author
    Dec 30, 2025· 1 reaction

    @pornthulhu Strangely, I almost never experienced that. I also used Ultra for upscaling Photo4 images in the past. Ultra3 was trained on 5500 images so should be better.

    pornthulhuDec 31, 2025· 2 reactions

    @SubtleShader yeah well, maybe because the prompts are more complex or sth.
    Ill post some images once I get around to do it.
    Bought Ultra 3 now and it does work better, thanks.

    pornthulhuJan 2, 2026· 1 reaction

    And here we go, some vids - the color gets worse with each added snipplet but not much to do about that, other than keeping vids terribly short :/ Anyhow, Ultra3 rocks :) https://civitai.com/posts/25583476

    RudeArtDec 17, 2025· 2 reactions
    CivitAI

    It’s a great model... then I wanted it to be even better, so I built a little extension for Forgeneo. Now it’s really, really good!

    SubtleShader
    Author
    Dec 17, 2025· 1 reaction

    What extension?

    RudeArtDec 18, 2025· 1 reaction

    @SubtleShader Drip-feed Wizard is a tool that adds your prompt bit by bit as the image is being made, instead of throwing everything in all at once. You start with your main prompt like usual, and then in the drip-feed box, you can add extra details or concepts you want to include slowly.

    Technically, Dripfeed Wizard changes how much of your prompt’s “guidance” is applied at different points during the denoising steps.

    During image generation, the model runs many steps from noisy → clear. At each step it predicts an update using your prompt (and usually also a “negative prompt”).

    Dripfeed means it doesn’t apply the full prompt influence immediately. Instead, it uses a schedule (a ramp/curve) so early steps get weaker or partial conditioning, and later steps get stronger/full conditioning.

    Depending on the implementation, it does this by scaling things like CFG strength, prompt attention weights, or even blending between different prompt embeddings across steps (sometimes also controlling when negatives/extra details kick in).

    So the core idea is: same model, same sampler, but the prompt’s effect is time‑scheduled across the step timeline to lock composition early and add details later.

    SubtleShader
    Author
    Dec 18, 2025· 1 reaction

    @RudeArt Sounds cool. Can I test it?

    RudeArtDec 18, 2025· 1 reaction

    @SubtleShader how do i contact u?? I am not going to post it somewhere. U can test it if u want its unrefined but functional... working on a hybrid sampler extension as well atm.

    SubtleShader
    Author
    Dec 18, 2025· 1 reaction

    @RudeArt I contacted you via Civitai chat. The second icon in the top right corner.

    lauraknopek8329Dec 19, 2025· 1 reaction
    CivitAI

    Out of curiosity, did you end up throwing any pov sex positions into your dataset mix?

    SubtleShader
    Author
    Dec 19, 2025· 2 reactions

    From the description above:

    Photo4/Photo4.5/Ultra2: 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 , icking, pinup photo, pro photo, pro portrait, pussy licking, sex pov, sexy portrait, vaginal fingering, waterfall

    So yes: doggystyle pov, oral pov, sex pov

    bobbyPinPinDec 20, 2025· 2 reactions
    CivitAI

    Noice

    JetterJackDec 21, 2025· 1 reaction
    CivitAI

    is ultra 2 going to be free?

    SubtleShader
    Author
    Dec 21, 2025· 1 reaction

    Quote: "About this version

    Please note: The high-res Ultra versions of Big Love are pay-only (no free download later) and special license conditions apply. See description! "

    JetterJackDec 24, 2025· 3 reactions

    @SubtleShader Understandable. you gotta make your money. If you wanna give a big fan a free copy cause he's too poor just lmk. ;) hahahaha. Nah, i appreciate your work in the community bro. God bless

    ArrivalPowerful314866Dec 21, 2025· 1 reaction
    CivitAI

    can i train a lora to keep the same character body and face for ultra 2 ? if yes what do you recommend ?

    SubtleShader
    Author
    Dec 21, 2025· 2 reactions

    The only thing you need to change in the training settings is to set resolution to 1536. That means you need images that are 1280x1872 or 1536x1536 large at least.

    kajuantakai816Dec 24, 2025· 3 reactions
    CivitAI

    Merry Christmas!

    You answered to every retard questions whole year:)

    SubtleShader
    Author
    Dec 24, 2025· 1 reaction

    Merry Christmas to you to. I think I missed one question. But will answer that one too later.

    carlitajohn89931Dec 27, 2025· 1 reaction
    CivitAI

    hi bratan what is this?
    nodes error

    { "number": 13, "prompt_id": "2004967728370860034", "node_errors": { "325": { "errors": [ { "type": "value_not_in_list", "message": "Value not in list", "details": "ckpt_name: 'BigLovePhoto45.safetensors' not in (list of length 5934)", "extra_info": { "input_name": "ckpt_name", "received_value": "BigLovePhoto45.safetensors" } } ], "dependent_outputs": [ "330" ], "class_type": "CheckpointLoaderSimple" } } }

    carlitajohn89931Dec 27, 2025· 1 reaction

    i cant load the checkpoint

    SubtleShader
    Author
    Dec 27, 2025· 1 reaction

    @carlitajohn89931 I guess you are the guy who wrote on Discord that it worked 5 minutes later...

    carlitajohn89931Dec 28, 2025· 2 reactions

    @SubtleShader indeed brother it's fixed whoever encounter this error consider waiting for your cloud service to wait refreshing the date being uploaded, if it happen even beyond that than it's another cause.