AI-powered KDP book cover generator for Kindle eBooks, paperbacks, and hardcovers without manual design work
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Not given
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Founded
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Based in
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Pricing model
Paid
Open source
Pricing
Starter Pack: $3.99 for 40 credits (1 print-ready cover download + 10 AI generations); Author Pack: $9.99 for 120 credits (up to 4 print-ready downloads + up to 120 generations); Studio Pack: $24.99 for 350 credits (up to 11 print-ready downloads + up to 350 generations). Free credits available for
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
AI cover generation based on book details and genre
Kindle eBook cover export at 1600 × 2560 px
Full-wrap paperback PDF with front, spine, and back cover
Hardcover full-cover PDF with wrap and hinge space
Bleed, margin, and barcode-safe area setup
Genre-specific cover styles and presets
Reference image upload to guide cover style
Print-ready ZIP export with PDF, front image, and specs
No design skills or KDP knowledge required
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Eliminates manual spine math and bleed calculations for print covers
Purpose-built for KDP publishing workflow, not a general design canvas
Supports all three KDP formats in one tool: Kindle eBook, paperback, and hardcover
AI tuned to genre visual conventions and thumbnail legibility
Commercial publishing rights to downloaded covers
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives