AI Amazon listing image generator for creating coordinated product images from real photos
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
3 free images upon account creation. Paid plans: Lite $19/month (300 credits monthly), Pro $49/month (840 credits monthly), Max $99/month (1,740 credits monthly). Annual plans available with 20% savings.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Main image generation with white background and product-first composition
Lifestyle image creation for product use context
Product infographics and feature visuals
A+ content image generation for branded modules
AI product photography with scene variety
Upload up to three product photos for reference
AI image plan review and confirmation before generation
Image regeneration, enhancement and repainting capabilities
Editable marketing text overlay templates
Product consistency controls for shape, color, and labels
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
Guided workflow starting from real product photos rather than blank prompts
Review-first process with confirmation before generation
Maintains product consistency across all generated images
Supports multiple focused workflows or complete listing sets
Designed around repeatable Amazon seller workflows
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