Fishnets - LoHa版本v2.20 (ID: 84096)

Please check out my Ko-Fi page if you are interested in supporting me.

LoRA commissions open! -> Fiverr

This is a LoHa LoRA! You need the extension! Why? They do a lot better with multi-concepts.

I've attempted this multiple times, this is the best I could come with.

Trigger words for V2.20 - You should probably avoid gens with the character too far away!:

You can try "sleevemesh" for armwear, "pantynet" for pantyhose, "sheertop" for a top (probably needs to add "nipples" to it) , "nettedthighs" for thighhighs.

NOTE: From my experience testing it, looks like thighhighs and top needs higher weights.

Follow the steps in the Model Version notes to reproduce my images.

Sample images generated with Hassaku.

All negative embeds should be easy to find. and Prompts should be included in the sample images! Click the little icon in the bottom right to see it.

It was trained on 120 512x512 images borrowed from Unstable Diffusion discord, 20 epochs using Animefull-final-pruned for the Training Model.

Danbooru tags generated by Waifu Diffusion 1.4 Tagger and fine tuned manually.

描述:

Generate using a weight of 0.75-1 like this: <lora:fishnetsv220:0.75>

How I archived my generations:

1. txt2img: DPM++ SDE Karras with 20 steps,512x512(can go up to 768 for wide or tall), Restore faces on (using CodeFormer weight 1.0 in Settings), Hires-fix on, to 1024x1024 (double original size) with your preferred upscaler and Denoise 0.5, CFG 7. Then send to img2img!

2. img2img: DPM++ SED Karras with 20 steps, Restore faces on (CodeFormer weight 1), rescale to 1536x1536, CFG 7, Denoise between 0.3-0.7 (based on how much you want to improve the image), SAME PROMPT! Send to extras when happy with img2img/inpaint results.

3. extras: Scale to x3 (final will be 4608x4608, I suggest going lower, I did x3 just for the samples here) Upscaler 1 - FatalAnime 4x, Upscaler 2 - SwinIR 4x with 0.10 visibility, GFPGAN 0.10 visibility, CodeFormer 0.10 visibility.

训练词语: pantynet,sleevemesh,sheertop,nettedthighs