Stable Diffusion · LoRA
StorybookRedmond: Unbound — Children's Book LoRA
LoRA for SDXL that generates children's book illustrations with vibrant color, soft shapes, and no black outlines.
About this model
StorybookRedmond: Unbound is a LoRA fine-tuned on SDXL 1.0 for generating children's book-style illustrations. Trained on a large dataset of storybook artwork, it produces images with soft, rounded character designs, vivid colors, and clean compositions typical of modern picture books — without the heavy black outlines common in other cartoon styles.
The trigger word is `KidsRedmAF`, and the additional trained words `Kids Book.` and `Kids Book` help steer the style. You can further control output with modifier tags like "detailed", "minimalist", "colorful", or "black and white" to shift between richly illustrated and simpler line-art looks.
The model is also available as separate LoRA variants for Qwen image and Flux.2 Klein 9B on Civitai (model 132127), making it accessible beyond the SDXL ecosystem. Licensed under CreativeML Open RAIL-M. On Civitai it has over 360 likes and 4,000+ downloads, with multiple versioned releases (v1.0, v2.0). The author notes it may require a few generations to achieve optimal results, which is typical for style LoRAs.
Model details
| Category | Stable Diffusion |
|---|---|
| Subcategory | LoRA |
| Base model | Qwen |
| Task | text-to-image |
| Hugging Face downloads | 114 |
| Civitai downloads | 4,192 |
| Hugging Face likes | 5 |
| Civitai likes | 364 |
| Data last synced | 2026-11-12 |
Trigger words
KidsRedmAF, Kids Book., Kids Book
Example outputs
Learn more
Read the in-depth guide about StorybookRedmond: Unbound — Children's Book LoRA
Tags
diffusers · text-to-image · stable-diffusion · lora · base_model:stabilityai/stable-diffusion-xl-base-1.0 · base_model:adapter:stabilityai/stable-diffusion-xl-base-1.0
Explore the source
How to use it
Load the adapter with a Qwen checkpoint in ComfyUI, Automatic1111 or another UI that loads LoRA files, then put the trigger words above in the positive prompt.