These loras were trained on images from Megami Magazine from late 2018 to early 2024. Megami Magazine has different styles of 2d images and I chose to separate them by types. (Hence Type A, B, C, etc.) Please read the About This Version for more information. Please use the lora based on the model for the optimum results.
To get the results you see in the images above, these are the settings I used.
Short List
Type A-E:
Links: v6.0 A-E [Noob1-Vpred]
Type A:
Links: v5.0 A [WaiShuffle-Vpred] | v5.0 A [Noob1-Vpred] | v4.0 A [Zootlustrious-v2] | v3.0 A [Hadrian DeliceXL] | v3.0 Type A [AutismMix] | v3.0 A [Ponymagine] | v3.0 A [Illustrious-v1]
Type B:
Links: v5.0 B [Noob1-Vpred] | v4.0 B [Zootlustrious-v2] | v3.0 Type B [AutismMix] | v3.0 Type B [Hadrian DXL]
Type C:
Links: v5.0 C [Noob1-Vpred] | v3.0 C [Illustrious-v1]
Type D:
Links: v5.0 D [Noob1-Vpred] | v4.0 D [Zootlustrious-v2]
Old:
Links: v2.0 [AutismMix] | v1.0 [Pony]
Long List
V6 Type A-E: Trained using 228 images. Each type is separated by the following tags.
memaxl6_a, memaxl6_b, memaxl6_c, memaxl6_d, memaxl6_eThe base for this lora is Noob 1.0 V-Pred.
V5 Type D: Trained using 53 images selected for their similar eyes. The base for this lora is Noob 1.0 V-Pred.
Links: v5.0 D [Noob1-Vpred]
V5 Type C: Trained using 29 images selected for their similar eyes. The base for this lora is Noob 1.0 V-Pred.
Links: v5.0 C [Noob1-Vpred]
V5 Type B: Trained using 52 images selected for their similar eyes and hair. The base for this lora is Noob 1.0 V-Pred.
Links: v5.0 B [Noob1-Vpred]
V5 Type A: Trained using 43-50 images selected for their similar eye style and detailed backgrounds. The base for this lora is Noob 1.0 V-Pred and WAI-SHUFFLE-NOOB Vpred 2.0.
Links: v5.0 A [Noob1-Vpred] | v5.0 A [WaiShuffle-Vpred]
V4 Type D: Trained using 53 images selected for their similar eye style. Trained on Zootlustrious v2.
Links: v4.0 D [Zootlustrious-v2]
V4 Type B: Trained using 52 images selected for their similar eyes and hair Trained on Zootlustrious v2.
Links: v4.0 B [Zootlustrious-v2]
V4 Type A: Trained using 50 images selected for their similar eye style and detailed backgrounds. Trained on Zootlustrious v2.
Links: v4.0 A [Zootlustrious-v2]
V3 Type C: Trained on 58 images based on similar eye types. Compared to Type A and B, the eyes are more round and more slender. The base for this lora is Illustrious-XL v0.1.
Links: v3.0 C [Illustrious-v1]
V3 Type B: Trained using 52 images selected for their similar eyes and hair. Trained on Hadrian DeliceXL 2.0, and AutismMix.
Links: v3.0 Type B [AutismMix] | v3.0 Type B [Hadrian DXL]
V3 Type A: Trained using 50 images selected for their similar eye style and detailed backgrounds. Trained on AutismMix, Hadrian DeliceXL 2.0, Ponymagine , Illustrious-XL v0.1.
Links: v3.0 A [Hadrian DeliceXL] | v3.0 Type A [AutismMix] | v3.0 A [Ponymagine] | v3.0 A [Illustrious-v1]
V2: This lora was trained using 150+ images that I painstakingly removed the japanese text from. Trained on AutismMix.
Links: v2.0 [AutismMix]
V1: Trained using 1,200+ images. (All I had.) Trained on Based Pony.
Links: v1.0 [Pony]
Description
Trained on 50 images from the Type A dataset. The base for this lora is Zootlustrious V2. I haven't tested it on any other model and I don't expect it to work as well if you're not using ZootV2.
The results of this lora is probably the most accurate I've achieved to the Megami Magazine style as of posting this lora. Even though the illustrious brand of models already have a Megami Magazine tag. The tag gives you an awful text in every gen, so this lora should be very helpful as an alternative.
To get similar results you see in the gallery images, just use this in the positive:
highres,absurdres,masterpiece,best quality,And this in the negative:
worst quality,bad quality,That's it. Anything more, especially in the negative, may result in a loss of style accuracy.
Yes, I know the size is bigger than my other loras, it was a result of the setting changes with my training. No, I don't plan to make a smaller version. Please use the appropriate model for each lora.