AI Image Generator

Generate stunning, high-quality images from text descriptions using state-of-the-art AI models.

The AI Image Generator transforms your text prompts into visual artwork. Whether you need product mockups, concept art, illustrations, or creative visuals, this tool leverages advanced diffusion models including FLUX, Stable Diffusion, and specialized variants to bring your ideas to life.

Core Features

• Multiple AI model selection including FLUX (excellent for text rendering and complex compositions)
• Customizable output dimensions with preset and custom size options
• Advanced parameters: steps, CFG scale, scheduler, and CLIP skip
• LoRA support for fine-tuned style control
• ControlNet integration for structural guidance
• Reference image support for style-consistent generation
• Batch generation (multiple images per request)

How to Use

1. Select a Model: Choose from available AI models. FLUX models are recommended for text rendering and detailed compositions.
2. Enter Your Prompt: Describe what you want to generate. Be specific about subjects, styles, lighting, and composition.
3. Configure Size: Select from presets or enable custom dimensions. Dimensions are automatically aligned to model requirements.
4. Adjust Settings (Optional):
   • Steps: Higher values (30-50) produce more refined results but take longer
   • CFG Scale: Controls prompt adherence (7-12 is typical)
   • Scheduler: Different sampling algorithms affect output style
   • Negative Prompt: Specify what to avoid in the generation
5. Generate: Click the generate button and wait for your images.

Parameter Guide

Steps

Controls the number of denoising iterations. Lower values (20-30) are faster but may lack detail. Higher values (40-50) produce more refined results.

CFG Scale (Classifier-Free Guidance)

Determines how closely the output follows your prompt. Lower values (5-7) allow more creative freedom; higher values (10-15) enforce stricter prompt adherence but may reduce image quality.

Scheduler

The algorithm used for the denoising process. Different schedulers produce varying artistic effects. Experiment to find your preferred style.

LoRA (Low-Rank Adaptation)

Fine-tuned model weights that add specific styles or concepts. Multiple LoRAs can be combined with adjustable weights.

Best Practices

• Start with detailed, descriptive prompts for better results
• Use lower step counts (20-30) for quick iterations, then increase for final outputs
• FLUX models excel at rendering text within images
• Not all models support every parameter; unsupported options are automatically ignored

Notes

• Generation may consume credits depending on model and settings
• Some parameters (negative prompt, CLIP skip, LoRA) may not be supported by all models
• Output images are stored temporarily and should be downloaded for permanent storage