Model Card: Moreiraj Overview Moreiraj is a high-performance AI model fine-tuned for generating realistic and artistic visual content. Built on advanced transformer architecture, this model specializes in character-consistent generation and style adaptation across various domains including portrait photography, fantasy art, and creative digital media.

Key Features Character Consistency: Fine-tuned for maintaining character identity across different scenes and styles High-Resolution Output: Supports up to 1440p resolution generation Flexible Conditioning: Works with both text prompts and image inputs Style Adaptation: Capable of adopting various artistic styles and aesthetics Intended Use This model is designed for: Digital artists and content creators Character design and development Concept art generation Photorealistic portrait creation Style transfer applications Creative prototyping and ideation Usage Instructions Basic Text-to-Image Generation This model is available for commercial and non-commercial use. Please review the full license terms for specific usage rights and restrictions

Generate images with your model

output = replicate.run( “moreiraj:latest”, input={ “prompt”: “a photorealistic portrait of TOK, detailed features, professional lighting, 8k resolution”, “num_outputs”: 4, “guidance_scale”: 3.5, “num_inference_steps”: 28 } )

Simple generation with default parameters

output = replicate.run( “moreiraj:latest”, input={ “prompt”: “your description here including TOK for character activation”, “aspect_ratio”: “1:1”, “num_outputs”: 1 } )

Advanced Image-to-Image Transformation python Copy

Use with input images for controlled generation

output = replicate.run( “moreiraj:latest”, input={ “prompt”: “transform TOK into a cyberpunk style”, “image”: “https://example.com/input.jpg”, “prompt_strength”: 0.8 } )

Parameters Guide Essential Parameters: prompt: Description of desired output (include TOK for character activation) aspect_ratio: Output dimensions (1:1, 16:9, etc.) num_outputs: Number of images to generate (1-4) guidance_scale: Controls prompt adherence (2.0-5.0 recommended) lora_scale: Character consistency strength (0.8-1.2 recommended) Quality Parameters: num_inference_steps: Denoising steps (20-40 for quality) output_quality: Image compression (80-100 recommended) model: Choose “dev” for quality or “schnell” for speed Training Data This model was fine-tuned on a diverse dataset including: High-quality portrait photography Artistic character illustrations Various style references Professional digital artwork Ethical Considerations Limitations Generated content should not be used for deceptive purposes Outputs may reflect biases present in training data Not suitable for creating misleading or harmful content Responsible Use 10Users are encouraged to: Verify the appropriateness of generated content Respect copyright and intellectual property Use generated content ethically and legally Avoid creating harmful or deceptive imagery Performance Metrics Inference Speed: Optimized for real-time generation Quality: High-fidelity output suitable for professional use Consistency: Stable character generation across variations Support & Community Documentation: Complete usage guides available Examples: Sample prompts and outputs provided Updates: Regular model improvements and optimizations