Type | |
Stats | 676 1,536 |
Reviews | (125) |
Published | Sep 4, 2023 |
Base Model | |
Training | Steps: 2,400 Epochs: 25 |
Usage Tips | Clip Skip: 2 |
Trigger Words | vampire vamp, 1girl, clothing cutout, navel, wings, pointy ears, cross, elbow gloves, red eyes |
Hash | AutoV2 F1B35D5767 |
LoRA trained on Vampire Vamp from Yu-Gi-Oh!
tags: vampire vamp, 1girl, clothing cutout, navel, wings, pointy ears, cross, elbow gloves, red eyes
anime: Coffee Donut - 2.1, YesMix - v1.6 (original), Sweet-mix - v2.1, Zenith - v3
2,5D: DarkSun, Dark Sushi 2.5D
better hands LoRA: EnvyBetterHands LoCon - beta2
negative embeddings: Fast Negative Embedding (+ FastNegativeV2) - v2
Recommended settings:
Make sure you are aware on the usage instructions of LORA
VAE: vae-ft-mse-840000-ema-pruned (for realistic models & 2,5D), kl-f8-anime2, blessed2.vae (for anime models)
Sampler: DPM++ SDE Karras or DPM++ 2M Karras(euler a for img2img upscaling) from time to time im also using DPM++ 2M alt Karras
Steps: 20 to 35
Clipskip: 2
Upscaler : GitHub - pkuliyi2015/multidiffusion-upscaler-for-automatic1111 4x-UltraSharp(for 2,5D & realistic), 4xAnimesharp(for anime)
CFG Scale : 5 to 9 (mostly 7)
LORA weight for txt2img: 0.5-1 (for the examples i mostly used 0.8 and 1)
Denoise strength upscaling: 0.3 to 0.55
If you want to autocomplete the tags & trigger im using, I recommend using Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
For full body shots i recommend using: ComfyUI Impact Pack
or the a1111 alternative GitHub - Bing-su/adetailer