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ColoringBookSD - Coloring Book LoRA for Stable Diffusion

LoRA for SD 1.5/2.1 that generates coloring book style images with clean line art and simplified details.

About this model

ColoringBookSD is a LoRA model trained to produce coloring book-style images. The model exists in two variants: a full checkpoint trained on Stable Diffusion 1.5 using Dreambooth with 35 images over 2500 steps, and a LoRA variant (ColoringBook.Redmond 2.1V) fine-tuned on Freedom Redmond SD 2.1. Both variants share the same goal of generating images with the simplified, clean aesthetic of traditional coloring book illustrations.

The recommended trigger words are "ColoringBookAF" and "Coloring Book". When using the SD 1.5 full checkpoint variant, include the phrase "in VARPJ1 Coloring Book Art Style" in the prompt to achieve the best results. The model also includes aesthetic embeddings and is approximately 2GB in size.

With 1,728+ downloads and 85 likes on Civitai, ColoringBookSD has been well-received by the community. The model is licensed under CreativeML OpenRAIL-M, allowing for broad usage. The images naturally generated by standard SD are more elaborate and full of unnecessary details, so this LoRA serves to produce a more minimalist, coloring-book-appropriate output.

To use the model, download it and place the files in your Stable Diffusion directory. For the LoRA variant, apply it on top of Freedom Redmond SD 2.1 at a moderate strength (typically 0.6-0.8) to balance the coloring book effect with your base image generation.

Trigger words

Coloring Book, ColoringBookAF

Base model

SD 2.1

Example outputs

ColoringBookSD - Coloring Book LoRA for Stable Diffusion example output
ColoringBookSD - Coloring Book LoRA for Stable Diffusion example output
ColoringBookSD - Coloring Book LoRA for Stable Diffusion example output
ColoringBookSD - Coloring Book LoRA for Stable Diffusion example output
ColoringBookSD - Coloring Book LoRA for Stable Diffusion example output

Project signals

  • 1,728 Civitai downloads
  • 23 Hugging Face likes

Topics

text-to-image

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