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SDXL Lora Backups

This is largely our ongoing LORA repository. Yes, there is one other repository for our loras but this is the most up to date one, we'll keep up as long as possible, new content will be added in folder dating.

  • If you're REALLY hard out go here: https://ko-fi.com/duskfallcrew/tiers
  • You'll be rejected unless you actually contact via Civitai, our Discord or find a way to e-mail E&D.
  • Supporters listed on KoFi for either Earth & Dusk - will get access. You'll be found, strung to a wall and hugged.
  • Discord BOOSTERS will get access.
  • All Loras are blocked off from public access unless you go to https://civitai.com/user/duskfallcrew/models
  • As 90% of them are free to download/use on CivitAi or other platforms.

Join Us

Join us on our journey, Explore a wide range of topics including AI tutorials, mental health advocacy, gaming, innovation, and entertainment. We are excited to announce the upcoming release of new models! Stay tuned for more updates.

Website: https://www.end-media.org

Backups: https://huggingface.co/EarthnDusk

Support our work on Ko-Fi: https://ko-fi.com/earthnicity

Join our subreddit to engage in discussions: https://www.reddit.com/r/earthndusk/

Connect with the Earth & Dusk community on Discord: https://discord.gg/5t2kYxt7An

SPONSORED & ADVERTISING:

WE ARE PROUDLY SPONSORED BY:

https://www.piratediffusion.com/

https://yodayo.com/

HOW TO USE:

EXTENSIONS:

We use ADETAILER: https://github.com/Bing-su/adetailer.git

Batchlinks if you're using A1111 locally or on a server:

https://github.com/etherealxx/batchlinks-webui

@nocrypt Addon: https://github.com/NoCrypt/batchlinks-addon

VAE & UPSCALER PREFS:

These are the ones we have installed, and all of them are just great, shove these in your BATCH LINKS extension or just download straight to your drive:

upscaler https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/8x_NMKD-Superscale_150000_G.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_NMKD-Superscale-SP_178000_G.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_fatal_Anime_500000_G.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_foolhardy_Remacri.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/lollypop.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_Fatality_Comix_260000_G.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x-UltraSharp.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_NMKDSuperscale_Artisoft_120000_G.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_NMKD-YandereNeoXL_200k.pth https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/4x_NMKD-UltraYandere_300k.pth

vae https://huggingface.co/NoCrypt/resources/resolve/main/VAE/blessed2.vae.safetensors https://huggingface.co/NoCrypt/resources/resolve/main/VAE/wd.vae.safetensors

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Datasets used to train EarthnDusk/Loras-SDXL