Please Read Description
Clarity XL Released: Link
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All donations will be used to fund the creation of new Stable Diffusion fine-tunes and open-source AI tools.
Changelog:
8-20-23 v3 inpainting
Uploaded inpainting version of Clarity v3.
8-16-23 v3
Rebuilt from the ground-up using a fine-tuned base model, made specifically for Clarity.
More realistic skin texture.
Slightly sharper contrast.
Continued improvements on fabric details (next up armor 😉).
Improved lighting/shading.
Improvements to the autoencoders prompt adherence.
Note : Slightly different prompt design from v2, can use more natural language now.
Like photorealism? Try my new fine-tune 'Lomostyle'
How about art? Try my new fine-tune 'Doomer-Boomer'
VAE NOT REQUIRED BUT RECOMENDED
VAE is recommended - https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main
File Structure for AUTOMATIC1111-webui :
|──sd
|____|──stable-diffusion-webui
|____|____|──models
|____|____|____|──VAE
|____|____|____|____|──<Put your VAE file here>
Note: Description is slightly outdated. Reworking of the description coming soon with the release of Clarity v3.
Merged Models
A list of merged models can be found bellow in the description of the attached model version.
Capabilities
NSFW Photography
SFW Photography is also possible, see "Trigger Words" bellow.
Photorealistic 3D renders
Emphasis on human anatomy
Trigger Words
This checkpoint does not contain any trigger words.
However, placing some tags at the beginning of the prompts can heavily influence the generation.
These tags include:
"nsfw", "sfw", "erotica", and "nudity" | "3d render", "cartoon"
Note: For SFW generation, try adding sfw to your prompt and nsfw to your negative prompt. For NSFW generation, try adding either nsfw, erotica, or nudity to your prompt and sfw to your negative prompt. In general, this is more useful for generating sfw images. This concept also applies to 3rd render and cartoon. I recommend leaving 3rd render and cartoon both in your negative prompt for generating photographic images.
Basic Prompt Guide
This model heavily revolves around UnstablePhotorealv.5. This means that you can the tagging system for PhotoReal, although I would recommend using a combination of the PhotoReal comma system and more natural language prompting.
Guide to prompting with PhotoReal - https://docs.google.com/document/d/1-DDIHVbsYfynTp_rsKLu4b2tSQgxtO5F6pNsNla12k0/edit#heading=h.3znysh7
Example prompt using commas and natural language:
Positive
A Professional Full Body Photo, of a beautiful young woman, clothed, standing indoors, Caucasian, toned physique, strawberry red hair, neutral expression
Negative
I recommend something simple like, deformed, bad anatomy, disfigured, missing limb, floating limbs, twisted, blurry, fused fingers, long neck, words, logo, text, mutated hands, mutated fingers
Modify as needed. For example, adding 3d render, cartoon to your negative prompt will help generate photographic images.
The prompts for this model are fairly flexible, experiment to find out what works best for you.
Link(s) to my other models
SDXL
Experience SDXL - https://civarchive.com/models/380142/experience-sdxl-beta
Boomer Art Model - https://civarchive.com/models/163139/boomer-art-model-bam
LoRA SDXL
Aeldari XL (40k series) - https://civarchive.com/models/282039/aeldari-xl
Oldhammer XL (40k series) - https://civarchive.com/models/281371/oldhammer-xl
Mechanicum XL (40k series) - https://civarchive.com/models/258266/mechanicum-xl
SD1.5
Doomer Boomer - https://civarchive.com/models/118247?modelVersionId=128239
Lomostyle - https://civarchive.com/models/109923/lomostyle
Based Model - https://civarchive.com/models/83991?modelVersionId=89262
Electric Eden - https://civarchive.com/models/64355/electric-eden
Cine Diffusion - https://civarchive.com/models/50000/cine-diffusion
Project AIO - https://civarchive.com/models/18428/project-aio
WonderMix - https://civarchive.com/models/15666/wondermix
Experience - https://civarchive.com/models/5952/experience
Elegance - https://civarchive.com/models/5564/elegance
VisionGen - Realism -https://civarchive.com/models/4834/visiongen-realism
LoRA SD1.5
Pant Pull Down - https://civarchive.com/models/11126/pant-pull-down-lora
Description
Models used:
bondage-v10-14k - https://discord.com/channels/1010980909568245801/1057083761373741107
ZombiMixv8 - https://huggingface.co/zombihed/ZombiMix-v6
Realistic HASDX - https://civitai.com/models/3758/hasdx
URPMv1.2 - https://civitai.com/models/2661/uber-realistic-porn-merge-urpm
FAQ
Comments (19)
Is this a UNet model?
In general, diffusion models (including latent diffusion) are UNet.
If you're referring to a fine-tuned model trained on a curated dataset, then the answer is no.
However, it does rely heavily on a fine-tuned model; UnstablePhotoreal
I'm currently in the data collection phase for creating a fine-tuned model, it's a lengthy process though.
Here's more information on UnstablePhotoreal - https://docs.google.com/document/d/1-DDIHVbsYfynTp_rsKLu4b2tSQgxtO5F6pNsNla12k0/edit
@ndimensional Thanks for explanation! I'm newbie here.
Looks promising, ill give it a try :)
you can add a vae in civit.ai aswell
VAE is just an improved autoencoder for the original stable diffusion codebase. It was created by StabilityAI. The only way to download it is to though huggingface - https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main
Clarity_1.4 has VAE baked into it's weights. Technically meaning, manually downloading VAE isn't a requirement for this model. I still recommend it though, just as a precaution because I'm not sure how effective the VAE injection is. I'll run some tests on Clarity_1.5 before I decide to remove / keep the VAE recommendation.
@ndimensional Ah, i thought you didnt bake in a vae, but if you did i dont see why "reusing" the vae again manually would do anything? msg me back on how the test results come out tho
@ndimensional for automatic 1111 do I just drop the pruned.safetensors into the file you listed or does it have to be renamed?
VisionGen was much better for me. this one might be ok for nsfw tho
Could you please upload the ckpt file for the poor Mac users...? I would really like to try this one, looks nice...
Are you using DiffusionBee on Mac? I haven't had much success importing most of the model mixes on here with DB. I'm not sure what the 'source' model is that crashes it, but I've given up using DB until it gets a serious update.
You might try Draw Things from the App Store. Got it a couple of days ago and so far, so good. Supports CoreML and Neural Engine. The main drawback is that you have to re-download the models in the app. Big upside is that a VAE can be assigned to the model when configuring it.
Not sure how well it plays with Intel Macs though.
ckpt has been uploaded.
@offshoretrash You can import models if you convert them in terminal and edit the data.json file in .diffusionbee folder... but it's a hassle... i have over 100 models converted to .tdict format...
The tutorial is on their discord, if you dare:
https://discord.com/channels/1019474618731466792/1045076533825515540/1045115162887192708
------
I know of DrawThings, but I just don't even know how to delete images... quite buggy and annoying... also you have to always klick on "seed" to get a new seed, it doesn't seem to randomize automatically...
@ndimensional Thanks a lot, downloading now..!
@zampano right click thumbnails on the right to delete
Could you recommend some prompts for more mature looking faces? I've trying to get faces that doesn't look like early 20years old all to no avail :(
Try using attention/emphasis; photo of (mature woman:1.2), (40 year old), ...
and
tags like: woman, milf, mature, older, mom, middle aged, weathered skin, wrinkles
Should help push the model into generating something more inline with what you're looking for.
(65 years old girl:1.2), etc. 100% gives me old faces. You just write what you want. And it works.
Hey there!, I would love to use this, and the original is great, but I was wondering if anyone would be kind enough to bake in the VAE file for us Diffusion Bee users who cant use VAEs :(, I feel like i could be getting so much more out of this
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Same model published on other platforms. May have additional downloads or version variants.



