All images were generated with either the Deliberate v2 or the DreamShaper 3.2 Checkpoint.
Sampler was DMP++ 2M Karras or DMP++ SDE Karras, depending on the better result.
Final resolution never smaller than 768px × 768px.
--prompt style of ArtistName
--prompt style of ArtistName, woman
--prompt style of ArtistName, Henry C_____ --negative_prompt superman
--prompt style of ArtistName, city or village or landscape
While Deliberate has some NSFW Checkpoint mixed in and needs 'nsfw' in the negative prompt, DreamShaper likes manga a lot and frequently requires 'manga, anime' in the np.
The first line produces a broad, uninfluenced impression of what is most common for that artist (landscape, person, etc.).
With 'woman', you will get a wider range of portraits that are more in line with the artist's personal aesthetic.
For the third line: The actor Henry C. is currently well-known and has been well-trained into SD. You can also judge the dominance of a style if he is still rendered normally (weak artist style) or when his superhero costume appears.
The last line, 'city' (sometimes replaced by 'village'), will give you a good idea of how houses, people, and technical items (cars, bikes, etc.) appear.
These are the negative prompts that were used to generate the images. They are reduced to contain the minimum keywords (human anatomy) to not influence the styles too much.
I'm including these for documentation purposes only; please make sure to do your own research.
'NSFW', 'Border' and 'Signature' were always selected.
In order to limit the influence of manga/anime from checkpoint merges, it is occasionally necessary to include Southeast Asian countries in the negative prompt. This is not done for Asian artists or manga or anime styles.
Use the 1.5 base model of SD, which has all information uninfluenced by any merges, and look for consistency in the results. At the same time, check the search results for that artist's name to compare and get a feel for what they are known for.
Here are two examples, both made with the standard prompts:
The results for 'Charles Dauphin' are all over the place - photos, paintings, a catalog page - save to say he's unknown to SD.
The results for 'Petros Afshar' are consistent. Similar colors, shapes, the art medium - SD knows this artist.
Sometimes things aren't as black and white, and more testing is required. Create a few more test images or switch to a more refined checkpoint/model and test there.
Sometimes the generated images of a person are 'unflexible' or the style is not strong enough to produce the results you want.
In this case, you can try and force a style by using the [from:to:when] tag.
[from:to:when] - [man:Henry Cavill:0.3]
This will begin with an image of a man in the desired style and will then transition to H.C. at 30% of the generation. (For example, if you set it to 100 steps, it would switch over at step 30.)
A good percentage for the switch seems to be between 0.25 and 0.35.
Your likes are saved in your browser and connected to the folder where the cheat sheet is saved. Simply move the folder back if you moved it.
There is no simple way to add your own styles. Either manually edit the JSON data, or write your own script to edit the dataset.
I made a very simple PHP script for my own use, but I don't have the time to deal with any security or support issues if I made that publicly available.
I liked the concept of a tool that doesn't require the internet and runs on every computer (with a browser). No matter what happens elsewhere, all you have to do is download it, and it is yours. Renting web space that is quick and has a sufficient amount of traffic would also require financial investment. That's not something I'm interested in.
I'm using a Nvidia GeForce RTX 3060 (12GB) and generate a minimum of 20 images (easy to prompt style) and a maximum of around 120 images per style (if I can't get it right). All the free time! (I didn't do the math, sorry. :)