High-fidelity photorealistic AI image generation with natural prompting
Stage
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Free credits to start. Subscriptions: Basic $15/month ($180/year, 300 credits/month), Pro $39/month ($468/year, 1600 credits/month), Max $160/month ($1920/year, 9200 credits/month). Credit packs available at $5.00 per 100 credits (Basic rate) down to $1.74 per 100 credits (Max annual rate).
Free and open source
Key features
Native stereo audio generation with lip sync
Omni-reference support for images, video, and audio
Instruction-based editing for characters, objects, backgrounds
4-15 second clip duration
768P and 2K resolution output
Up to 7,000 character prompt capacity
Support for up to 12 total reference files
32 kHz native stereo audio
First and last frame image-to-video
Free credits included with sign-up
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
What makes it different
Official MiniMax V2 API with confirmed multimodal support
Native audio generation integrated with video for reduced post-sync needs
Unified credits system across video and image generation modes
Independent platform with transparent pricing and no setup fees
Supports multiple reference input formats for creative control
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development
MiniMax H3
CyberRealistic XL