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HomeLLMs2023 Scraped SDXL

2023 Scraped SDXL

by MLbackup

Open source · 9k downloads · 4 likes

0.9
(4 reviews)ImageAPI & Local
About

The *2023 Scraped SDXL* model is a derivative version of SDXL, trained on data scraped from the internet, including works from creators whose content was removed. It excels at generating realistic or artistic images from text descriptions, offering a wide range of styles and intricate details. Its core capabilities include producing detailed illustrations, landscapes, portraits, and objects, with a strong focus on textures and complex compositions. This model is particularly well-suited for artists, designers, or content creators looking to quickly explore visual ideas or generate unique imagery without advanced technical skills. What sets it apart is its access to a broad and eclectic array of styles and references, often more diverse than official versions—though this may include elements protected by copyright.

Documentation

Models from deleted creators

Capabilities & Tags
diffuserssdxlstable diffusionanimeearth and duskduskfallcrewsafetensorssdxl-anikmesdxl animetext-to-image
Links & Resources
Specifications
CategoryImage
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Rating
0.9

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