ArtificialGuyBR

Home / Projects / Book Cover REDMOND LoRA for Qwen-Image

Stable Diffusion · LoRA

Book Cover REDMOND LoRA for Qwen-Image

LoRA for Qwen-Image that generates professional book cover illustrations with consistent style and high detail. Trigger: "BOOK COVER."

About this model

Book Cover REDMOND is a LoRA trained on Qwen/Qwen-Image-2512 that specializes in generating high-quality book cover artwork. The model was trained using GPU compute sponsored by Redmond.AI on a curated dataset of book cover style images.

To use the model, include the trigger phrase "BOOK COVER." in your prompt. The LoRA works best with ComfyUI workflows and outputs images at 768x1024 resolution (portrait orientation ideal for book covers). Sample outputs show consistent quality across genres — dark fantasy covers with moody atmospheres, warm-toned romance or historical fiction covers, and cool-toned sci-fi or thriller designs.

The model is distributed in Safetensors format under the Apache 2.0 license, allowing both commercial and non-commercial use. With 396 downloads on Civitai and 18 on HuggingFace, it has proven useful for authors and designers needing rapid cover concept generation.

Model details

CategoryStable Diffusion
SubcategoryLoRA
Base modelqwen/qwen-image-2512
Tasktext-to-image
Hugging Face downloads36
Civitai downloads396
Hugging Face likes2
Data last synced2026-11-12

Example outputs

Book Cover REDMOND LoRA for Qwen-Image example output
Book Cover REDMOND LoRA for Qwen-Image example output
Book Cover REDMOND LoRA for Qwen-Image example output
Book Cover REDMOND LoRA for Qwen-Image example output
Book Cover REDMOND LoRA for Qwen-Image example output

Learn more

Read the in-depth guide about Book Cover REDMOND LoRA for Qwen-Image

Tags

diffusers · text-to-image · lora · template:diffusion-lora · base_model:qwen/qwen-image-2512 · base_model:adapter:qwen/qwen-image-2512

Explore the source

How to use it

Load the adapter with a qwen/qwen-image-2512 checkpoint in ComfyUI, Automatic1111 or another UI that loads LoRA files, then put the prompt in the positive prompt.

Related LoRAs

Collections