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 Klein versions of Big Love are pay-only and special license conditions apply. See description!
Big Love Klein1 does NSFW and image editing. Very fast with 4 steps only. Add dramatic light, hard light or lowkey to the prompt for good lighting. ComfyUI recommended (Forge Neo image quality is low). Image editing is stable, txt2img experimental regarding NSFW (= more prompt & seed hunting).
Download GGUF version with 8 GB VRAM, fp8 with 12-16 GB VRAM and bf16 with 24+ GB VRAM. Base version (Full fp32) for training loras. 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
FAQ
Comments (71)
Ok, I may buy, but I'd like to see a workflow for this Klein1.
All showcase images have workflows embedded. Some have a txt2img workflow, others a image editing workflow. Just drag'n'drop a showcase image onto ComfyUI.
using your workflow for Klein, it is blurry as if it needs more steps. I downloaded the BF16 model (I have a 5090 and 64GB RAM). Is there a LoRA that I'm supposed to use with this? Even at 30 steps it isn't generating properly.
Sounds like you downloaded the base model which needs 20-50 steps and cfg 5. It is rather meant for training and produces soft results. Please download one of the other 3 versions. They only require 4 steps and cfg1.
@SubtleShader It seems that the only model that uses the 4 steps is the fp8 model.
@direct22202 Nope. Three are distilled 4-step models. One (Full fp32) is base.
Is this a finetune or a merge?
I trained loras & lokrs and merged them. But I trained and merged them on top of each other. So you could call it fine-tuning. Initially tried full finetuning but did not work out well. Will do one or more full finetunes for the next version.
@SubtleShader I'm doing my own finetune and then planning on merging the lokrs/loras like you are - I just wondered - what did you use to merge and how did you test the blocks for the merge?
@BrAInB0t I used Comfy to merge. Don't use the built-in Save Model node of ComfyUI. Seems to corrupt the data. Use the KJNodes version and empty the second param for AI-Toolkit compatibility. Always merge with base and train on base. Then add back the 4-step capability for testing by using Subtract and Add nodes. I do not test any blocks.
Good luck!
@SubtleShader Oh man, don't you know, you're supposed to treat this all like it's super secret magic to try and drive up four more patreon members!
Incredible ! Thinking of buying it but I have a little fear: will flux klein character loras work on it, or is it better to re-train them on this model ?
Did not test yet. Sorry. Too busy launching it. Can you send a lora to me for testing? DM me.
Just bought it on whop mate, will train it tomorrow :) Sure !
Unsure why Civit felt the need to seperate 9B and 9B-Base and make it so I can't tag this model when using a 9B-base labeled LoRa. If you feel up to it would appreciate labeling this as 9B-Base unless there's a reason you chose 9B
There is no such things as a 9B base lora. Loras work on both the 4 step and base version. I chose 9B because that is what most people will use. Not the 4-12x slower base.
@SubtleShader Right, I get that, but it was trained on base no? Either way if it's something you don't want to do it's cool, just was asking in case you didn't mind one way or the other.
@cranpeach You train a lora on base & use it with the distilled 4 step version. Training on the 4 step version does not work. Of course, you can also use the lora with the base version.
@SubtleShader We're in agreement here then, that Civit shouldn't have two separate categories for 9B and 9B base in the first place.
@cranpeach Yep.
You absolute madman you actually did it. This is the new benchmark for NSFW models. I can't understate to anyone just how much it is worth the 16k buzz. LoRAs trained on the fp32 are working like a charm.
not sure one should be paying for something the author does not have the legal right to sell.
https://huggingface.co/black-forest-labs/FLUX.2-klein-9B/blob/main/LICENSE.md
@RagingInspiration Seems like all people are suddenly lawyers when 16k buzz is too much for them.
Thanks for confirming that trained loras work. You tried the loras on the 4-step version? Will do a character lora myself in it soon as a test.
@SubtleShader Trained on fp32, tested on fp8 and very good
The model sucks bro, it can't even do simple position edits.
..has anyone here actually tried the model? it's completely overtrained
@crombobular I’ve tested it a decent amount now. Haven’t noticed anything feeling overtrained. What settings are you using?
@DrAIvyn Actually it is undertrained regarding NSFW. Why I plan to train it a lot more in future.
which are you using?
@SubtleShader oh yeah, another 16k for you, and the revolving door goes round and round. or wait, will that be 32k because it's a more "matured" and better model.
You've had a second with Z and K, I've been following your posts months ago about what is next. Do you have an impression between those two yet?
And can we ever hope for a Qwen 2512? As I have a suspicion that there is no replacement for the 10B parameters that Z and K don't have compared to Qwen. I think it makes a difference.
I never liked the Z output and inflexible training, but K reminds me more of SDXL. So I think K has the bigger potential. A lot of stuff speaks in its favor. Only problem is anatomy, but should be solvable. Qwen is too big. Will not touch it now that K is available.
@SubtleShader I've found the same as you. While I enjoy Z-image, it seems no Lora's or Finetunes are turning out stellar, even when coming from the best model creators.
And Klein 9B is replacing all my Qwen needs for the most part.. It's fast, seems trainable, can do edit and img2img in one model, and seems reasonably good at text.
@ChillDesire I have to agree with you guys. Yes, Qwen is large, but it doesn't have hardly any of that anatomy horror that Klein currently has. Should Klein's anatomy be solvable, yes, but Z-Image should have trained well and stacked loras better. So we'll see?
@naken97184823dsdsdsdsd Hopefully the Z training issue will get resolved. Always better to have alternatives.
@SubtleShader I am curious what you mean when you don't like the Z output? I am getting amazing results compared to most other models.
@SaburoDio It is the whole look and style. Hard to describe. Has a less photorealistic touch for me. I'm spoiled by SDXL. Flux klein looks more realistic in many cases to me. It is just a general impression. There are great Z images too.
Maybe my problem is that it did not train that well. Once that problem is solved and image editing is available for it, I might change my opinion again.
Always great to have alternatives.
@SubtleShader I definitely think that there is something broken in Z-Image training. As it were, in couple weeks, add Qwen2 to the list. Just announced today, I'm sure you saw already.
@SubtleShader 12 days 16 hours.... fffffffffffff
@SubtleShader I see, however in terms of realism ZIT beats SDXL by far?.. It still lacks really good genitals and sometimes nipples but I yet have to find a SDXL checkpoint that even comes close to ZIT. Or are you just referring to your own checkpoints?
@SaburoDio Just compare to the fine details in my Big Love Ultra images. Z is still far from that. Everyone has a different interpretation of photorealism. Different clues that tell the person that an image looks more or less real. So we can both disagree and both be right.
@SubtleShader you make (and offer) an incorrect comparison.
SDXL engine was polishing for two years since late 2023. ZIB was released around 2 weeks ago. It's more correct to compare Z-Image with early SDXL checkpoints.
I remember the early SDXL checkpoints. They had nothing special comparing with SD1.5 except its ability to generate up to 1536x1536 images. SD1.5 + SDXL style lora + upscaler had the same quality with SDXL. Only since late 2024 and early 2025 I saw visible progress.
Honestly, the descriptions make it hard to tell which model is for what to download lol.
Classic oversatch
Sorry, Civitai does not make it easy to name the different versions. But this should help:
If you want to generate images with 8 GB VRAM:
Pruned Model nf4 (6.04 GB) => actually GGUF Q5_K_M
If you want to generate images with 24+ GB VRAM:
Pruned Model bf16 (16.91 GB)
If you want to train a lora:
Full Model fp32 (16.91 GB) => actually base bf16 version
If you want to generate images with 12 or 16 GB VRAM:
Pruned Model fp8 (8.46 GB)
I know I claimed Z-base is the goat for training, but Klein is looking quite good, you're right. THAT SAID: Qwen-Image-2.0 (!!!). Not open-source yet though.
Klein is learning incredible fast and well. Normal training also improves image editing capabilities. But still a lot of work ahead. I'm doing a lot more training for it than for SDXL. Necessary.
@SubtleShader There is the 9B license issue as we all obviously know.
@brnfd24434343d I will do a klein 4B version of Big Love too. Likely called Mini1. Apache 2 license. No need to pay BFL. Will be 2.25x faster than Klein1.
Big Love Klein1 Tip
Always use one or more of the following trained lighting tags with Klein1 in txt2img otherwise you will often get a dull bright lighting:
hard light, midkey, lowkey, daylight, soft light, dramatic light, flash light, shadows, dim light, highkey, backlight, ring flash, studio flash, side light, flat light, natural light, interior light, shadow pattern, sunlight, night, rim light, spot light, dark or Rembrandt light
I will try to make Klein2 use better lighting by default, like Big Love SDXL does, so "lazy prompters" are still able to produce masterpieces.
Getting awesome results with editing. Very happy so far and excited to see what further training does.
Any tips on getting smaller breasts in edit mode? They seem to always default to medium size, even if I prompt "small breasts".
Edit mode? In edit mode you have to prompt "Make her breasts small" if they are medium to big sized. You would prompt "small breasts" in txt2img, not in edit mode.
@SubtleShader Possibly where I might be going wrong. I'm not super familiar with edit models so I'm still learning the methods.
It seems they respond better to commands vs suggestions in general.
If breasts aren't visible in the original shot (for example, like a headhsot as reference into a full body shot), would that same method "make her breasts small" work?
@ChillDesire I'm not that familiär either, but you are right that commands or suggestions work better. You basically have to tell it what changes you want. Sometimes reformulating it helps too if it does not react.
I would rather try "Show her small nude breasts" or "Convert it to a upper body portrait with visible small breasts" or "Extend the portrait downward"
Image Edit models are trained with image pairs/triplets including a prompt. So you basically need to guess what that original prompt was to make it do the transformation. The model also understand similar formulations up to a certain point.
please add gguf version of newer models and smaller ggufs
How small are we talking? Less than 8 GB VRAM? GPUs with 8 GB VRAM are covered already.
@SubtleShader oh i didn't see the nf4 version, right now i use the q4ks version of the 9b model and the quality is pretty good i dont know if the nf4 version is the same or better/worse in quality i will try it and see
@NIkoF It is not nf4. Civitai just has a bad way of naming these checkpoints. It is GGUF Q5_K_M.
Has anyone had anyone else have issues getting the Klein 1 model to generate on Civitai? Each time I go to generate a prompt it says unstable resources, then fails to produce anything.
Yep, currently says that. Hopefully Civitai will fix it.
One thing though i noticed with every version except pony3 they are all bad with soles/feet. Maybe there is a magic prompt or lora but i dont know.
Yep, Pony is very good with feet. Will try to train them with Photo6 & Ultra5.
@SubtleShader Thank you so very much i´m so glad you said this because i thought it´s only a crazy me problem!
Does anyone know why in Forge Neo I get an out of memory error on a 5090 with ZT2?
Only use batch size 1 to avoid problem with Z in Forge Neo
@SubtleShader thank you for your reply but I figured out I need to set "Diffusion in Low Bits" to "Automatic (fp16 LoRA)"
How can you produce a video using this model?
You can produce an images with Big Love that you can convert into a video using Wan2.2, Grok or other video models.
I used an SDXL (base 1.0) Character LORA trained at 3500 steps (150 epoch), 1024 resolution, Strength 1.0-1.1, Works way better in Ultra4 than when I use it with other SDXL checkpoints, amazing! I will have to try training against Ultra4 now.
Yep, the higher resolution really makes a difference. Best train the lora at 1536 resolution with Ultra.



















