Seek Art license, Dreamlike license.
This is a mix of some of my favorite models to create something that captures the aesthetic I like but also without sacrificing NSFW capabilities. Basically an 'almost' do everything mix for me.
For best results use the Standard SD VAE.
Disclaimer: All prompts in the example images use InvokeAI Syntax NOT Automatic1111 syntax. The key thing you need to know is that 'term+' is equivalent to '(term)' ++ is the same as (()) and so on.
Well... Where to start... This has been a very long project. After using V1 for a while there were several things I just wasn't happy with and felt it needed updates. I tried many different merges and couldn't get what I wanted out of it. I really like Protogen 5.3 and wanted to use it as the base, but I felt like I couldn't get it to give me what I wanted Luckily @darkstorm2150 was gracious enough to outline his full recipe on Reddit and explained how to build protogen from the ground up. I studied this for a while and dug deep into it. In the end I settled on rebuilding using a similar recipe but with several tweaks so that I could get something else out of it. So Version 2 is a complete and total rebuild. Keeping in fashion with Darkstorm who provided the base recipe I will also provide my full recipe below so that you can fully see what I changed.
The following Recipe was created on Automatic1111 WebUI using the Checkpoint Merger tool. There are two possible formulas that show in this recipe.
Primary Model (A) + Secondary Model (B) @ Multiplier (M) -- This indicates that a Weighted Sum merge was used
Primary Model (A) + (Secondary Model(B) - Tertiary Model (C)) @ Multiplier (M) -- This indicates Add Difference was used
Aesthetic_v1.1 = f222_v1 + elldrethSImagination_v10 @ 0.85
Aesthetic_v1.2 = hassanBlend1512And_hassanBlend1512_1 + Aesthetic_v1.1 @ 0.85
Aesthetic_v1.3 = Aesthetic_v1.2 + (rpg_rpgV3Candidate16 - v1.5-pruned-emaonly) @ 0.15
Aesthetic_v1.4 = Aesthetic_v1.3 + (seek_art_mega_v1 - v1.5-pruned-emaonly) @ 0.25
Aesthetic_v1.5 = Aesthetic_v1.4 + (modelshoot-1.0 - v1.5-pruned-emaonly) @ 0.15
Aesthetic_v1.6 = Aesthetic_v1.5 + (daugeph_daugeph - Aesthetic_v1.5) @ 0.25
Aesthetic_v1.7 = Aesthetic_v1.6 + moistmixV1_moistmixV1 @ 0.1
Aesthetic_v1.8 = Aesthetic_v1.7 + openjourney-v2-unpruned @ 0.05
Aesthetic_v1.9 = Aesthetic_v1.8 + analog-diffusion-1.0 @ 0.05
Aesthetic_v2.0 = Aesthetic_v1.9 + (dreamlikePhotoRealV2 - v1.5-pruned-emaonly) @ 0.05
The prunes that are available are fp16 no-ema prunes created using the Model Converter extension in Automatic1111 and I have confirmed that they produce the same results as the unpruned versions. All example images were generated using InvokeAI from the pruned CKPT version using gfpgan face restoration at 0.8 strength and with High Res Optimization turned on.
Models used in the original mix:
StablyDiffused's Aesthetic Mix is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user stablydiffused. Derived from the powerful Stable Diffusion (SD 1.5) model, StablyDiffused's Aesthetic Mix 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 StablyDiffused's Aesthetic Mix is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, aesthetic.
With a rating of 4.89 and over 36 ratings, StablyDiffused's Aesthetic Mix is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of StablyDiffused's Aesthetic Mix from here.
To use StablyDiffused's Aesthetic Mix, 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 StablyDiffused's Aesthetic Mix, check out our crash course in AI image generation.
For this version I went back to 1.5 and redid the model stack on top of that. The goal here was to get photorealism back to the same level as version 1 without sacrificing any of the fantasy details. Well, It's not quite there yet, which is why this is not a version 3. The photorealism is still just a little but more difficult than I'd like, but after using this for the past couple days I've really grown to like it at its current state. Nipple textures are improved, and photorealism is a little bit easier to achieve. But it can still do digital art/fantasy really well at the same time. I did not intend on releasing this version, but after giving it some thought I couldn't come up with a good reason not to.
The pruned version here is an fp32 no-ema prune. Pruning it to fp16 is possible, but it changes the outputs slightly when using the same prompt/seed. I didn't want to upload something where the example images were not reproducible using their meta data, so I am not uploading a fp16 prune. But you can prune it yourself and still get the same fidelity. Just be aware that it won't produce the exact same image as the example images from their meta data. It will be slightly different, but still good. Example images use the same prompts as V2, but new seeds. The girl on the bed prompt was changed back to the v1 version as that prompt now plays nicely with v2.6. modelshoot style is still supported but not required.
The new Recipe (Look in model description to see what went into v1.5)
Aesthetic_v2.1: Aesthetic_v1.5 + openjourney-v2-unpruned @ 0.05
Aesthetic_v2.2: Aesthetic_v2.1 + analog-diffusion-1.0 @ 0.05
Aesthetic_v2.3: Aesthetic_v2.2 + dreamlikePhotoRealV2 @ 0.10
Aesthetic_v2.4: Aesthetic_v2.3 + (DucHaitenAIArt 2.0 - Aesthetic_v2.3) @ 0.20
Aesthetic_v2.5: Aesthetic_v2.4 + hasdx_hasedSdx @ 0.10
Aesthetic_v2.6: Aesthetic_v2.5 + (hassanBlend1512And_hassanBlend1512_1 - Aesthetic_v2.5) @ 0.15