Stable Diffusion · LoRA

Stickers Redmond Flux Klein 9B

LoRA for FLUX.2-Klein-9B that generates glossy stickers with vibrant colours on a clean white background with high consistency.

About this model

STICKERS REDMOND FLUX KLEIN 9B is a LoRA (Low-Rank Adaptation) model fine-tuned for the black-forest-labs/FLUX.2-klein-9B text-to-image base. The author — ArtificialGuyBR — trained it on a curated dataset of high-quality sticker artwork, giving FLUX.2-Klein-9B a strong bias toward the glossy, die-cut sticker aesthetic: bold colours, sharp outlines, and a consistent clean white background. GPU time for training was provided by Redmond.AI.

Trigger words: use `Sticker` or `Stickers` in the prompt to activate the LoRA style. The instance prompt from the model card is "Sticker, Stickers".

Recommended usage: the author recommends ComfyUI for the best results. Load the model into a FLUX.2-Klein-9B workflow via a LoRA loader node, keep the weight moderate (0.6-1.0, with 0.8-1.0 for the strongest sticker look), and include the trigger word in the positive prompt. Simple prompts referencing the trigger word produce clean, consistent sticker-style output on white backgrounds.

License: Apache License 2.0. The model is openly downloadable from the Hugging Face Files & versions tab.