this post was submitted on 07 Nov 2024
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Some of my recent attempts that did not work out.

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[–] M0oP0o@mander.xyz 1 points 3 hours ago (1 children)

Ran it on my 6900 (nice) and although slow the main issue is it made things look like this:

It was stable diffusion XL.

[–] tal@lemmy.today 1 points 37 minutes ago* (last edited 9 minutes ago)

6900

kagis

If that's 16GB, that should be more than fine for SDXL.

So, I haven't done much with the base Stable Diffusion XL model. I could totally believe that it has very little Sailor Moon training data. But I am confident that there are models out there that do know about Sailor Moon. In fact, I'll bet that there are LoRAs -- like, little "add-on" models that add "knowledge" to a checkpoint model on Civitai specifically for generating Sailor Moon images.

Looks like I don't have vanilla SDXL even installed at the moment to test.

downloads vanilla

Here's what I get from vanilla SDXL for "Sailor Moon, anime". Yeah, doesn't look great, probably isn't trained on Sailor Moon:

Sailor Moon, anime
Steps: 20, Sampler: DPM++ 2M, Schedule type: Karras, CFG scale: 7, Seed: 2, Size: 1024x1024, Model hash: 31e35c80fc, Model: sd_xl_base_1.0, Token merging ratio: 0.5, Version: v1.9.4-169-ga30b19dd

searches civitai

Yeah. There are. Doing a model search just for SDXL-based LoRA models:

https://civitai.com/search/models?baseModel=SDXL%201.0&modelType=LORA&sortBy=models_v9&query=sailor%20moon

75 results for ‘sailor moon’

goes to investigate

Trying out Animagine, which appears to be a checkpoint model aimed at anime derived from SDXL, with a Sailor Moon LoRA that targets that to add Sailor Moon training.

I guess you were going for an angelic Sailor Moon? Or angelic money, not sure there...doing an angelic Sailor Moon:

Doing a batch of 20 and grabbing my personal favorite:

(masterpiece, best quality, very aesthetic, ultra detailed), intricate details, 4k, aausagi, long hair, double bun, twintails, hair ornament, parted bangs, tiara, earrings, blue eyes, heart choker, blue sailor collar, red bow, white shirt, see-through, elbow gloves, white gloves, multicolored skirt, white skirt, lora:sailor_moon_animaginexl_v1:0.9, standing, angel, halo

Negative prompt: (worst quality, low quality, very displeasing, lowres), (interlocked fingers, badly drawn hands and fingers, anatomically incorrect hands), blurry, watermark, 3d

Steps: 30, Sampler: Euler a, Schedule type: Automatic, CFG scale: 7, Seed: 11, Size: 1024x1024, Model hash: 1449e5b0b9, Model: animagineXLV31_v30, Token merging ratio: 0.5, Lora hashes: "sailor_moon_animaginexl_v1: e658577df088", Version: v1.9.4-169-ga30b19dd

Time taken: 8 min. 18.0 sec. (to do a batch of 20, and with 30 steps, whereas I typically use 20...used 30 because the LoRA example image did, don't wanna go experiment a bunch).

I grabbed some of those prompt terms from the example images for the Sailor Moon LoRA on Civitai. Haven't really tried experimenting with what works well. I dunno what's up with those skirt colors, but it looks like the "multicolored skirt, white skirt" does it -- maybe there are various uniforms that Sailor Moon wears in different series or something, since it looks like this LoRA knows about them and can use specific ones, as they have those different skirts and different prompt terms on the example images.

I just dropped the Animagine model in the models/Stable-diffusion directory in Automatic1111, and the Sailor Moon Tsukino Usagi LoRA in the models/Lora directory, chose the checkpoint model, included that <lora:sailor_moon_animaginexl_v1:0.9> prompt term to make the render use that LoRA and some trigger terms.

That's 1024x1024. Then doing a 4x upscale to a 16GB 4096x4096 PNG using SwinIR_4x in img2img using the SD Ultimate Upscale script (which does a tiled upscale, so memory shouldn't be an issue):

The above should be doable with an Automatic1111 install and your hardware and the above models.

EDIT: On Civitai, when you view example images, you can click the little "i" in a circle on the image to view what settings they used to create them.