AI image generator for text-to-image and image-to-image creation with advanced prompt understanding and reference editing
Expert data development for frontier AI
Stage
Not given
Established
Founded
Not given
2019
Based in
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Not given
Pricing model
Paid
Contact for pricing
Pricing
Basic Annual: $83.88/year (24,000 credits, up to 2,400 images); Pro Annual: $287.88/year (102,000 credits, up to 10,200 images); Studio Annual: $719.88/year (312,000 credits, up to 31,200 images). All plans include Standard, HD, and Ultra quality options.
Not given
Key features
Text-to-image mode for creating new images from detailed prompts
Image-to-image mode with reference image editing and controlled variation
4K-ready image quality for large hero sections and high-resolution visuals
Accurate multilingual text rendering in multiple languages
Diverse visual styles from realistic photography to cinematic concept art
Built-in world knowledge for specific and believable scene creation
Better prompt understanding for complex scenes with multiple requirements
Flexible aspect ratio and composition support for different canvas sizes
Rich material, lighting, and visual texture control
Research-grade datasets with rubrics, reviewer guidance, difficulty tiers and eval slices
Custom data development for specific failure surfaces and use cases
Specialized agents built on expert data evaluated in real workflows
Benchmark-grade environments and evaluation harnesses
Provenance tracking with full audit trails for all labeled data
What makes it different
Better prompt understanding handles complex scenes with multiple visual requirements at once instead of requiring stacked vague adjectives
Reference image editing for controlled variation preserves visual intent during generation
Wide style range without switching tools from cinematic to editorial to clean app graphics
Flexible compositions support multiple canvas sizes and formats in one workflow
Research-driven data lab focused on quality and frontier-hardness rather than volume
Domain-specific benchmarks and evaluation environments built for real-world, high-stakes failures
Research methodology published and peer-reviewed with 200+ papers
Comprehensive data lifecycle from SFT to RL training to evaluation
GPT Imagine
Snorkel AI