Dream with your Eyes Wide Open

Please enjoy PhotoSomnia, a general-purpose model merge blended and adjusted with an objective of emulating film photography, with some success.

Q. Isn't this just another model blend?

A. Short answer - No, this is the best photorealism model you'll find today.

Long answer - Yes, imo the people who are training/fine tuning and are sharing their models/embeddings/etc. are the real heroes of the AI art community! But this is an excellent photorealism blend for a few reasons - it's been the most responsive to prompts than any others I have tried, and seems biased towards producing photorealistic outputs. Also despite the incorporation of many nsfw models, it doesn't seem as biased towards producing NSFW outputs as many other photorealism blends, I consider this a positive.

Q. Isn't this just a rip-off of Analog Diffusion/Dreamlike Photoreal/any other model?

A. Though both of those models and many others have been involved in the blending process, it seems to produce relatively unique outputs thanks to the weird and chaotic blending workflow I've been using. The influence of certain models on Gravy Mix seemed quite clear, but this blend shouldn't be considered a direct derivative of any model other than Stable Diffusion 1.5.

Q. What models did you use?

A. Anything I could find that appears to be trained on actual photos of actual people, plus some artistic ones and top-quality photorealism merges. It's a big list appended to the end of this blurb, and I hate to admit it but I may have missed some, and also may not have used some on the list, but they're in my models folder and are quite likely to have been used.

Q. What ratios are they blended at?

Calculating the ratio of any contributing model would be impossible. My general approach since Gravy Mix has been to grab the latest photo-trained/fine-tuned model I can find and use the either the weighted sum/add difference merge at a low ratio with the Work in Progress model, reduce all the weightings across the board once things start to get a bit overdone, and continue the process with various models to steer things towards my idea of photorealism as best possible until I'm satisfied with the results I'm getting.

It's not as scientific as A+B ratio blends and is an open-ended exercise but I think the results are aesthetically pleasing enough at this stage for this model to be shared. I presume that AI-assisted blending tools running on more capable systems than my old mid-tier gaming laptop will soon make this sort of approach obsolete.

Q. The outputs are blurry/weird/fake looking/suck :(

A. I'm ok with the softness and other quirks of the outputs. I've blended this model for myself and will share it with the community as it is, if they aren't useful for the style you are aiming for feel free to try using it for your own model blends to suit your own styles, or use this model for composition and img2img or controlnet with your preferred model to achieve the results you're after.

Q. What settings/prompts should I use?

A. Check the metadata of the demo pics for some examples.

Q. What licensing applies to this model?

A. It's my gift back to the community that has made so much possible for me. My understanding is that despite using other models to make PhotoSomnia, this is not a direct or provable derivative of any model other than Stable Diffusion 1.5, thus Open RAIL-M should apply. Whether or not the or not the publishers of the models listed below agree with the above terms is between the user and them.

If your are using this model I would greatly appreciate attribution considering how much time and effort I've put into this, but it's not a requirement.

Q. Will there be updates?

A. I can't answer that, I hope that my next release will be a trained/fine-tuned model rather than just a blend. As I've learned with Gravy Mix an update isn't always an improvement.

Model Merge List:

Afaik these are trained/finetuned models that have been used at some stage of developing this blend:

Analog Diffusion

Bigger Girls Photorealism

Brits out for the lads

Cafe-Instagram

Doctor Diffusion

Dreamlike Photoreal v2

Emotion Puppeteer

Elysium_V1

El Zipang

f222

Metagod Selfie Mix

NeverEndingDream

Noise Offset for True Darkness in SD

Parailansfw

Project Photo Beta 2.0 LITE

QGO-10b

RPG v4

Subreddit V3

This Babe Doesn't Exist

WoopWoop Photo 2.0Alpha

WavyFusion

Z_phyr Mix

Hassan's Blend (not actually used directly but so many of the other blends use it that it needs a mention)

...and of course the often forgotten but always fundamental Stable Diffusion 1.5.

afaik these are merged models only, all of which are wonderful for photorealism and/or other styles just as they are:

Analog Madness

Ares Mix

Art & Eros (aEros)

Deliberate v2

HARDblend

Hunter69 v1

OpenDream 2.0

PhotoMaxUltra v1

Protogen x34

Realistic Vision v1.4

s1dlxbrew

StablyDiffused's Magnum Opus

Sunshine Mix

TheAlly's Mix II: Churned

uber-realistic-porn-merge

And extra thanks for MegaMerge v1.1 for making v1.6 possible.

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What is PhotoSomnia?

PhotoSomnia is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user grvy. Derived from the powerful Stable Diffusion (SD 1.5) model, PhotoSomnia has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that PhotoSomnia is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, photo, photography.

With a rating of 5 and over 6 ratings, PhotoSomnia is a popular choice among users for generating high-quality images from text prompts.

Can I download PhotoSomnia?

Yes! You can download the latest version of PhotoSomnia from here.

How to use PhotoSomnia?

To use PhotoSomnia, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like PhotoSomnia, check out our crash course in AI image generation.

Download (1.94 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

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Info

Base model: SD 1.5

Latest version (v1.8): 3 Files

To download these files, please visit this page from a desktop computer.

About this version: v1.8

More balancing after testing out all the photorealism models I have, re-using the ones that perform best for portrait details and responsiveness to prompts. The Model Toolkit Extension for the A1111 webUI played an essential role in improving the resulting merged model.

The VAE is embedded bc the model really does need it to work well.

5 Versions