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 Zia versions of Big Love are pay-only and special license conditions apply. See description!
Better pussies, better skin texture, more cute faces, more photorealism, more fine details, more sharpness, more contrast, more of everything.
FAQ
Comments (75)
I'm your biggest fan! Please notice me senpai!!
Noticed!
No, I'm his biggest fan!! :-D
@GenoMachino Noticed too. You 2 are my biggest fans. 😁
Why is all the attention on ZiT while Z Image Base gets overlooked?
People seem to like it better. It also is faster.
@SubtleShader it is faster due to the lower number of steps requiered, but also suffers lack of variety compared to what's available with ZiB. If generation time is your main concern, you can embed distilled Loras into your checkpoints, reducing the number of steps required and saving time while still preserving high detail and variation. Give it a try, I’m confident you’ll prefer the results with ZiB.
@smxyxjtan269 Actually I liked the ZiB images that I saw so far less than the ZiT ones. Will revisit it at some point in the future. But thanks anyway!
ZIT is faster,runs on less VRAM. So more people can enjoy it. And personally ZIT images also look way better than ZIB from what iv generated.
It is not as good - at least for me.
I just DL'ed Zia1... I appreciate the multiple DL options!! The De-Turbo diffusers are for Lora training, yes? How would I use the De-Turbo.safetensor file? Thanks for the continued fine work!!
@SubtleShader Thanks! Yeah, I get the De-Turbo diffusers usage and honestly, I'm having pretty good luck with the ZT2 and ZT3 Loras I made with Zia1... but I'll give Zia1 a spin for Lora generation as well, just for fun!
My question was really "what is the use case for the De-Turbo.safetensors file?"
@GenoMachino The single de-turbo safetensors file is for OneTrainer. AI-Toolkit needs the multi-file diffusers format. It is different for Zia1. Should produce even better training results.
@SubtleShader Ah, thanks for the clarification!! And now I will have to grind out some Zia1 Loras!! :-D
@GenoMachino Hey! Do you have any tips for generating LoRA models and using them in ComfyUI? I’ve tried a batch of 5–6 generations in ComfyUI, and sometimes they don’t really look like my subject—maybe I’m doing something wrong.
Big Love Zia1 Lora Training
If you want to use your lora with Big Love Zia1, don't train on Z (Base/Turbo) or another Z checkpoint. Train on Big Love Zia1. Z is not as flexible as SDXL in this regard.
OneTrainer Instructions
Download the Full Model fp32 version above to train a lora with One-Trainer. Choose the z-Image DeTurbo LoRA preset in OneTrainer. On the model tab click the ... button next to Override Transformer / GGUF and choose the downloaded safetensors file. Add your concept and click Start Training.
Please note: OneTrainer has 512 resolution set on the training tab. If you have 24 GB VRAM, you may want to set resolution to 1024. If you want to train 1024 resolution with 16 GB VRAM, use the z-Image DeTurbo LoRA 8 GB preset and set resolution to 1024. In both cases it will take longer to train.
AI-Toolkit Instructions
Contact me for the Zia1 de-turbo diffusers zip file. Unzip it. Choose the Z-Image De-Turbo (De-Distilled) option in AI-Toolkit. Then in the "Name or Path" text box replace ostris/Z-Image-De-Turbo with the file path to the unzipped folder.
General formula for steps:
Image count * 100 epochs / batch size
So, 25 images * 100 epochs / batch size 2 = 1250 steps. Save every 10 epochs (every 125 steps here) and compare the last few saved versions.
With a batch size above 1 calculate a new learning rate as
lr = base_lr * sqrt(batch size)
For example: 0.0001 * sqrt(batch size 2) = 0.00014
hey, what is this "sqrt"?
@zagzagem685 Square root. 7th grade math.
How are we supposed to prompt for editing with Klein? Tags or natural language?
Just like you would give instructions to a human image editor. Check the showcase images of Big Love Klein1. There are several editing instructions visible directly on the images. Also read
https://docs.bfl.ml/flux_2/flux2_image_editing
About Zia1.. Any tips for generating good images of vaginas and oversaturated images? I have no idea what parameters to set in the KSampler to achieve this.
You should rather worry about the prompt. Has nothing to do with the settings.
Here are the settings from the description anyway:
Z-Image-Turbo Settings:
8 steps, cfg1, Euler or DPM++ 2s a RF sampler, Normal or Simple or Beta scheduler, 832x1216, 1024x1536 or 1280x1920 pixels
Upscaling:
8 steps, cfg1, Euler sampler, Normal or Simple or Beta scheduler, 1.5x upscale
No images below? I posted some this morning...
Civitai still has problems showing the images of the last few days. Started last Thursday.
Hello, I paid for Big Love Ultra4 on whop.com, and I tried to use workflow of these images with the Big Love Ultra4 checkpoint, but images produced Big Love Ultra4 on these workflow have very poor quality, if I use bigLove_xl1 checkpoint , it works fine. What workflow should I use to get good results on checkpoint for what I paid? Can you help me?
You should set the image size to 1280x1864 with Big Love Ultra. Smaller image sizes do not work very well as it was trained on the higher resolution. For 1024x1496 or lower it is better to use Photo5. I actually listed a Ultra Workflow in the Description. Here is the link: https://civitai.com/images/112124886
Thank you for your answer, I should have read the description carefully, but with same prompt Big Love Ultra4 produces images with not ideal anatomy or additional persons in comparison with bigLove_xl1 checkpoint, I don't know why, I'm sorry I'm novice
What is the difference between ZT3 and Zia1?
As it says under "About this version": Better pussies, better skin texture, more photorealism, more fine details, more sharpness, more contrast, better lora training version, more or everything.
@SubtleShader Wow, I am dumb... sorry about that!
@greg508 You are not the first one 😁
ZT3 – female bits look good and overall quality seems better compared to the OG model, but dicks look like raw sausages and there's no way to fix it with LoRAs as those break it completely.
Hardcore stuff is still difficult and needs more tries. Will be a big focus with the next version.
@SubtleShader Could LoRas ZIB be a solution? Or am I talking nonsense?!
@geraut0 ZiB loras on ZIT? I found no good base lora on this topic. Will try to train xxx stuff next month.
@SubtleShader Yes, I've been testing ZIB LoRas on ZIT, and the results have been much better. I've been doing this by training some LoRas on my own. I use the "config" for ZIB training from "malcolmrey" for OneTrainer. I'm still a novice in this LoRas training subject. I don't know if you've already delved into this subject, but surely with the knowledge you already have, you'll be able to improve it and apply it to your projects!
@geraut0 Can you post a link to the malcomrey config? Or tell us what he suggests? Thanks.
@SubtleShader He left those settings up to you to choose to your liking, but I, and most people, are using the "Prodigy": https://huggingface.co/datasets/malcolmrey/various/tree/main/zimage-turbo-vs-base-training/base
I recommend you check out malcolmrey's threads on reddit: https://www.reddit.com/r/malcolmrey/
There are some important discussions taking place there.
Primarily on this specific topic: https://www.reddit.com/r/malcolmrey/comments/1qv6ojt/z_image_vs_z_image_turbo_lora_situation_update/
In my training, I simply adapted the malcolmrey "Prodigy config" to the type of LoRa I wanted to train with, and it worked very well!
@geraut0 Thanks. Yep, I read similar things.
Future Big Love Plans
Photo6 / Ultra5
New concepts & making some old concepts work better via lora merging
Hyper2
Should get a lot better with more usable output images
Zia2
Will try to improve pussies even more & make sex stuff work better
ZT4
No definitive plans at the moment but will be released at some point
Klein2
Coming next. I'm training image pairs to improve NSFW image editing. Txt2img anatomy should get better too. Faster NVFP4 version planned. No KV Caching version because it reduces image & editing quality too much.
Mini1
Finally gave up on Flux klein 4B. As good as untrainable. Degrades after 20 epochs of training. Not enough.
Qwen1
Still have to check it out. Probably too big & slow for my taste. Hoping that Qwen Image 2 weights will become available.
I'm pretty much on board with all of that!! I haven't really played with Klein too much, maybe I will? :-D
Are you interested to do something with Z Image Base as well?
@h_0oo0_h Yes, probably later.
phenomenal work! I don't know how you keep up lol
Hey, do you use Comfy for your generations and if yes could you please share the workflow? Your quality is great, would be nice to have embedded wf into images <3
I mostly use Forge (SDXL) or Forge Neo (Z). Only Comfy for Klein. Check the Big Love description for Comfy workflows.
The links under the "Training a (character) lora" in the last sentence are broken. Could it be possible to bring them back. 🙏🏻
Thanks for letting me know. I updated the ZT3 and Zia1 links now. The ZT2 one is way down in the comments and it does not display all comments for me at the moment. Will add it when it works again. Looks like the Civitai link format for comments changed.
Okay guys, I'm really trying to keep up here so bear with me. How does Flux.2 Klein 9B compare to z-image-turbo and z-image-base?
Klein is best used for image editing. Z best for txt2img (as it currently cannot do image editing). So they complement each other. If you compare txt2img of both, you could say that Z is better with composition, anatomy & colors but looks more hyperrealistic and less good at xxx stuff. Klein is more realstic and does xxx better but has anatomy problems and a harsh bright look. I'm working on fixing the weaknesses of both with my Big Love releases.
@SubtleShader Yes, anything you can do to improve upon z-image turbo or base would be appreciated. I notice that unless you lock down the prompts with parenthesis and weights, z-image turbo or base tends to get confused and defaults to Chinese people and places after a few good renders. I've had to also adjust GPU weights to 0.90 for my 3090 so forge neo has extra space work with like a scratchpad of sorts.
@olternaut Well, my Z-Turbo versions default to Western. Only with empty prompt you get Asian. Or if you prompt Asian.
@SubtleShader It's the opposite for me. After a few good renders it's like the model gets tired and defaults to Chinese people and buildings. I guess it's a Chinese model so the base was trained initially on Chinese people and things. They really need to fix that for version 2.
@olternaut Sounds like something is wrong with your setup. Never had that problem. What software do you use?
@SubtleShader I'm using Forge Neo. The problem is only with z-image models. Right now the symptoms are under control using prompts with parenthesis and weights. I also have the gpu weights set around 0.90 with my 3090 in mind. If I don't do these things then after a few renders I get Chinese boy bands. Or k-pop girls or weird buildings and structures like stonehenge or something.
@olternaut I also use Forge Neo, but never had this problem. Only got problems when using batch size higher than one.
@SubtleShader I only make one picture at a time. I find this odd. It's definitely the model though. Random Chinese people don't appear out of no where just because. And I don't mean just BigLoveZ. All the Z-image models fine tune or base act this way. But parenthesis with high weights prevents this from happening...at least for me.
@olternaut Best write on the Forge Neo forum and ask for help. Above my pay grade. Sorry. Or ask ChatGPT.
Pony 3 then to flux a bit fo life
Could you briefly explain how to train a Lora of your model, plus this one from Zimage? Which application should I use, Kohya or Ostris? Thank you for your response.
Kohya does not support Z. Only Mitsubi Trainer. Never used it. See here about Z: https://civitai.com/models/897413/big-love?dialog=commentThread&commentId=1138240
Not sure what you mean with "my model". There are various versions.
@SubtleShader You're very kind, thank you for the advice.
really like your work, I followed the link you gave but i don't see how to get the 80 free images a day
They give 50 daily credits. With SDXL DMD2 you pay 0.58 credits per 1024x1496 image. That's 85 or 86 images per day.
@SubtleShader ok got it, thank you
Hey is there a way i can pay to download the flux klein checkpoint?
Read below the showcase images.
Hey I just bought your Klein checkpoint and am using your workflow. However, the inspire node is giving me the following errors:
"Failed to convert an input value to a FLOAT value variation_strength, increment, could not convert string to float: 'increment'"
"Failed to convert an input value to a INT value internal_seed, linear, invalid literal for int() with base 10: 'linear'"
"Value not in list variation_method: '0' not in ['linear', 'slerp']"
Could you please help me to resolve this? <3
Google AI says: "Here is how to fix those specific errors:
1. The "String to Float" & "Value not in list" Errors
These errors happen because the node is trying to read a label (like "increment" or "linear") as a numerical value, or it's seeing a "0" where it expects a word.
The Fix: Right-click the Inspire Sample node and select "Recreate Node" (if available) or simply delete and re-add a fresh version of the node.
Manual Check: Ensure the variation_method dropdown is explicitly set to linear or slerp. If it looks like it’s already set correctly but still giving an error, toggle it to the other option and then back again to "reset" the underlying value.
2. The internal_seed Error
The node is seeing the word "linear" inside a box meant for a Seed (INT). This usually happens if the inputs got shifted or "wired" incorrectly in the backend of the .json file.
The Fix: Check if you have any external Inputs (the circles on the left side of the node) connected to variation_strength or seed.
Action: Disconnect any pipes leading into those specific slots, right-click the node, select "Convert [Input Name] to Widget," and then re-type the numbers manually.
3. Quick Global Fix
If the above doesn't work, your Inspire Pack might be out of sync with your ComfyUI version:
Open the ComfyUI Manager.
Click "Update All."
Restart ComfyUI completely (close the terminal window and reopen). "
@SubtleShader thanks a lot for the quick reply! Number 1 solved the issue and I can only say the results are breathtaking.
You are the MVP
What's the difference between ZT and Zia?
About this version notes from above: "Better pussies, better skin texture, more cute faces, more photorealism, more fine details, more sharpness, more contrast"
@SubtleShader So, Zia is the same line than ZT, like an update? I thought they had different path because their name.
@H4rryM3ss Zia has a slightly different look. Generates some things like nipples & genitals differently and also does some concepts better. Comes close to my vision of how Z should be. Have to see how ZT & Zia will develop im future. No clear plan yet.
Actually I want experiment with a 3rd Big Love version of Z, but based on Z base. Have to see if it will be worth releasing.