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 suggest using v1.15 at 38% for merges with Models if you want to do that.
No trigger word for LoHa version. Just call the LoHa at 0.5-1 weight, I recommend 0.75!
Theres 2 versions, the LoRA and the LoHa. I made the LoRA for merging with models. The LoRA version also have "Clay Mann" as a tag.
You can try color tags and they work quite well both in negatives or positives like: "grayscale", "monochrome" both make the image more vivid in negatives or make grayscale images in positives, "vivid colors", "flat colors" also helps with more colorful outputs.
Follow the steps in the Model Version notes to reproduce my images.
Sample images generated from Nothing model.
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 scraped from the internet and 20 epochs using animefull_final.
Danbooru tags generated by Waifu Diffusion 1.4 Tagger and fine tuned for specific tags.
Description
Generate using a weight of 0.4-1 like this: <lora:clayMannv120:0.75>
How I archived my generations:
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!
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.
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.