Magai Image AI Model Guide
Magai gives you the ability to choose between 20 different image AI models across text-to-image, image-to-image, and video generation capabilities.
Model Overview Table
Model Name | Capabilities | Multiplier |
Aura Flow | Text to Image | 1× |
Dall-E 3 | Text to Image | 1× |
Flux | Text to Image, Image to Image | 1× |
Flux 1.1 Pro | Text to Image | 1× |
Flux 1.1 Pro Ultra | Text to Image | 1× |
Flux LoRA | Text to Image | 1× |
Ideogram 2.0 | Text to Image | 1× |
Imagen 3 | Text to Image | 1× |
Kling | Text to Video, Image to Video | 1× |
Kuma Dream | Text to Video | 6× |
Leonardo.ai | Text to Image, Image to Image | 1× |
Leonardo Motion | Image to Video | 1× |
Luma Ray 2 | Text to Video, Image to Video | 6× |
MiniMax | Text to Video, Image to Video | 1× |
Runway | Image to Video | 4× |
Stable Diffusion 3.5 | Text to Image, Image to Image | 1× |
Stable Sketch | Image to Image | 1× |
Stable Structure | Image to Image | 1× |
Stable Style | Image to Image | 1× |
Veo 2 | Text to Video | 42× |
Detailed Model Descriptions
Text-to-Image Models
1. Aura Flow
Multiplier: 1×
Overview: Aura Flow is an AI image generation model known for creating creative and artistic images from textual descriptions. It excels at producing flowing, dynamic visuals with strong stylistic elements.
Key Features:
High-quality image generation from text prompts
Distinctive artistic style with flowing, organic elements
Excellent color harmony and composition
Fast generation times with consistent results
Use Cases:
Creating artistic images for creative projects
Generating unique imagery for digital content
Producing stylized illustrations and designs
2. DALL·E 3
Multiplier: 1×
Overview: DALL·E 3 is OpenAI's advanced text-to-image generation model. It offers exceptional image quality, remarkable coherence with textual prompts, and improved ability to generate complex and nuanced visuals compared to its predecessors.
Key Features:
High-Resolution Images: Produces detailed and vibrant images suitable for professional use
Advanced Prompt Understanding: Better interprets complex and abstract prompts to generate relevant visuals
Style Adaptability: Capable of mimicking various artistic styles based on user input
Enhanced Safety Measures: Implements content filtering to prevent the generation of inappropriate images
Use Cases:
Assisting artists and designers in visualizing concepts
Creating custom illustrations for marketing and advertising
Generating visuals for educational and informational content
3. Flux
Multiplier: 1×
Capabilities: Text to Image, Image to Image
Overview: Flux is a versatile AI image generation model known for its balance of quality and speed. It offers users a reliable option for creating various types of imagery from textual prompts with good detail and comprehension.
Key Features:
Well-balanced image quality and generation speed
Versatile style adaptation capabilities
Good interpretation of complex prompts
Consistent output quality
Use Cases:
General-purpose image generation
Creating illustrations for various content needs
Supporting design workflows with rapid visualization
4. Flux 1.1 Pro
Multiplier: 1×
Overview: Flux 1.1 Pro is an enhanced version of the standard Flux model, offering improved image quality, better prompt understanding, and more detailed outputs. This professional-grade model is optimized for users who need higher quality results.
Key Features:
Superior image resolution and detail compared to standard Flux
Enhanced prompt interpretation for more accurate results
Improved handling of complex scenes and compositions
Better color accuracy and lighting effects
Use Cases:
Professional design and illustration work
Creating high-quality marketing visuals
Generating detailed concept art and visualizations
5. Flux 1.1 Pro Ultra
Multiplier: 1×
Overview: Flux 1.1 Pro Ultra represents the premium tier of the Flux model family, offering the highest quality outputs with exceptional detail, realism, and prompt adherence. This model is designed for users with demanding quality requirements.
Key Features:
Maximum resolution and detail capabilities
Exceptional handling of complex prompts and scenes
Superior texture and material rendering
Advanced lighting and atmospheric effects
Use Cases:
High-end professional design and visualization
Creating premium marketing and advertising imagery
Producing publication-quality illustrations
6. Flux LoRA
Multiplier: 1×
Overview: Flux LoRA is a specialized model that allows users to create and utilize custom Low-Rank Adaptation (LoRA) models. This innovative approach enables users to fine-tune the AI to generate images in specific styles, with particular subjects, or with consistent themes.
Key Features:
Custom model training capability through LoRA technology
Ability to create personalized styles and subjects
Consistent output matching specific aesthetic requirements
Reduced training requirements compared to full model fine-tuning
Use Cases:
Creating consistent brand imagery with specific style elements
Developing character-specific illustrations for media projects
Building custom artistic styles for creative projects
7. Ideogram 2.0
Multiplier: 1×
Overview: Ideogram 2.0 is a powerful text-to-image AI model known for its exceptional typography handling and graphic design capabilities. It excels at creating images that incorporate text elements seamlessly with visual components.
Key Features:
Superior text rendering and typography integration in images
Strong graphic design sensibilities with balanced compositions
Excellent handling of logos and brand-oriented imagery
Versatile style capabilities from minimal to complex illustrations
Use Cases:
Creating professional graphics that incorporate text elements
Generating social media assets with integrated messaging
Designing concept mock-ups for branding and marketing materials
8. Imagen 3
Multiplier: 1×
Overview: Imagen 3 is Google's advanced text-to-image diffusion model that excels at creating photorealistic images with exceptional detail and fidelity. This model represents the latest iteration of Google's Imagen technology with significant improvements in quality and capability.
Key Features:
Photorealistic image generation with remarkable detail
Advanced text understanding for accurate prompt interpretation
Superior handling of human figures and faces
Excellent spatial reasoning and composition
Use Cases:
Creating highly realistic visualizations and mock-ups
Generating photographic-quality imagery for marketing
Producing detailed concept visualizations for products or environments
9. Leonardo.ai
Multiplier: 1×
Capabilities: Text to Image, Image to Image
Overview: Leonardo.ai offers an AI-powered creative platform with specialized image generation models. Known for its versatility and quality, Leonardo.ai allows users to create various types of imagery with different stylistic approaches.
Key Features:
Multiple specialized models for different artistic styles
Strong performance with concept art and character designs
Image-to-image capabilities for editing and transformation
User-friendly controls for style and quality adjustments
Use Cases:
Character and concept art creation for gaming and entertainment
Generating diverse artistic styles for creative projects
Supporting design workflows with rapid visualization options
10. Stable Diffusion 3.5
Multiplier: 1×
Capabilities: Text to Image, Image to Image
Overview: Stable Diffusion 3.5 represents a significant advancement in open-source image generation technology. This model offers improved image quality, better prompt understanding, and enhanced versatility compared to previous versions of Stable Diffusion.
Key Features:
High-quality image generation with excellent detail
Improved text understanding for better prompt adherence
Versatile style adaptation across various visual domains
Advanced composition and spatial understanding
Use Cases:
Creating detailed illustrations and concept art
Generating diverse imagery for content creation
Supporting design processes with visualization capabilities
Image-to-Image Models
11. Stable Style
Multiplier: 1×
Overview: Stable Style is a specialized image-to-image model focused on stylistic transformations. It allows users to apply specific artistic styles to existing images while maintaining the structural integrity and content of the original.
Key Features:
Precise style transfer capabilities while preserving content
Wide range of artistic style adaptations
Fine control over style intensity and application
Excellent preservation of important image details
Use Cases:
Transforming photographs into artistic renditions
Creating consistent style treatments across multiple images
Developing stylized versions of product or concept imagery
12. Stable Structure
Multiplier: 1×
Overview: Stable Structure focuses on enhancing or manipulating the structural elements of images. This specialized model excels at maintaining or modifying the composition, architecture, and spatial relationships within images.
Key Features:
Advanced handling of spatial relationships and perspective
Strong performance with architectural and structural elements
Ability to maintain or enhance structural integrity in images
Specialized in composition and layout adjustments
Use Cases:
Architectural visualization and modification
Enhancing structural elements in product designs
Creating or modifying complex spatial compositions
13. Stable Sketch
Multiplier: 1×
Overview: Stable Sketch is designed for transforming simple sketches or rough drawings into more refined images while maintaining the creator's intent. It bridges the gap between early conceptual drawing and more polished visualization.
Key Features:
Sketch-to-image transformation capabilities
Preservation of artist's intent and line work
Ability to add detail, texture, and color to basic sketches
Options for various levels of stylization and realism
Use Cases:
Converting rough concept sketches into detailed visualizations
Streamlining concept art workflows
Transforming hand-drawn ideas into digital art
Supporting rapid ideation processes with quick visualization
Video Generation Models
14. Kling
Multiplier: 1×
Capabilities: Text to Video, Image to Video
Overview: Kling is a versatile video generation model that can create short video clips from either text descriptions or initial images, offering a balance of quality and efficiency.
15. Kuma Dream
Multiplier: 6×
Capabilities: Text to Video
Overview: Kuma Dream is a premium text-to-video generation model that creates high-quality video content from detailed text prompts, with a higher multiplier reflecting its advanced capabilities.
16. Leonardo Motion
Multiplier: 1×
Capabilities: Image to Video
Overview: Leonardo Motion specializes in transforming static images into dynamic video clips, adding naturalistic motion to still imagery.
17. Luma Ray 2
Multiplier: 6×
Capabilities: Text to Video, Image to Video
Overview: Luma Ray 2 is an advanced video generation model offering premium quality for both text-to-video and image-to-video transformations.
18. MiniMax
Multiplier: 1×
Capabilities: Text to Video, Image to Video
Overview: MiniMax provides cost-effective video generation capabilities from both text descriptions and images, with a focus on efficiency.
19. Runway
Multiplier: 4×
Capabilities: Image to Video
Overview: Runway is a specialized image-to-video model known for its high-quality motion generation and cinematic transformations.
20. Veo 2
Multiplier: 42×
Capabilities: Text to Video
Overview: Veo 2 represents the premium tier of text-to-video generation, with the highest multiplier reflecting its exceptional quality and capabilities for creating sophisticated video content from text descriptions.
Choosing the Right Model
When selecting an image or video AI model on Magai, consider:
Content Type: Choose models based on your generation needs (text-to-image, image-to-image, or video generation)
Quality Requirements: Higher-quality models like Flux 1.1 Pro Ultra or Veo 2 may deliver superior results for professional applications
Style Preferences: Different models excel at different visual styles, from photorealistic (Imagen 3) to artistic (Aura Flow)
Specialized Needs: Consider models with specific strengths matching your use case (Ideogram 2.0 for typography, Stable Sketch for refining drawings)
Cost Efficiency: Models with higher multipliers will consume more of your usage balance, so consider your budget when selecting premium options