Stable Diffusion · LoRA

StickersRedmond SD 2.1

LoRA for Stable Diffusion 2.1 (Freedom Redmond) that generates consistent sticker-style images with clean white backgrounds using trigger words Sticker or St…

About this model

StickersRedmond is a LoRA (Low-Rank Adaptation) trained on the Freedom Redmond SD 2.1 base model. Created by ArtificialGuyBR with GPU compute sponsored by Redmond.AI, this LoRA specializes in generating sticker-style artwork — glossy, die-cut sticker aesthetics with bold colors, sharp outlines, and consistent clean white backgrounds.

The model was fine-tuned on a large dataset of sticker artwork. Trigger words are `Sticker` and `Stickers` — include either in your prompt to activate the LoRA style. The instance prompt used during training was "Sticker, Stickers".

Recommended usage: Works with Automatic1111, ComfyUI, and diffusers. Apply LoRA weight around 0.6-1.0. The model outputs at SD 2.1 native resolution (768x768). License is CreativeML OpenRAIL-M, inherited from the base model.

Published on Civitai (Nov 2023) with 931 downloads and 75 likes. Also hosted on Hugging Face with 332 downloads and 116 likes.