Refining and Controlling AI Art Outputs
Essential tools that extend beyond initial image generation, enabling refinement, enhancement, and creative transformation of AI outputs to achieve professional results.
Selectively modifying or extending image content through masked regeneration and canvas expansion.
- Localized Editing: Replacing specific areas while preserving surrounding content
- Object Manipulation: Seamlessly removing, adding, or modifying elements
- Canvas Extension: Expanding image boundaries with coherent generated content
- Detail Refinement: Enhancing specific regions with higher precision
Using existing images as input to guide generation while preserving composition and structure.
- Strength Control: Balancing input fidelity versus creative transformation
- Style Transfer: Applying new artistic aesthetics to existing compositions
- Sketch to Image: Converting drawings and lineart into finished artwork
- Photo Enhancement: Improving real photographs through AI processing
Advanced control mechanisms that use reference images to precisely guide composition, pose, and structure.
- Pose Control: Maintaining human poses from reference images
- Edge Guidance: Following structural outlines and sketches
- Depth Mapping: Preserving spatial relationships and perspective
- Style Consistency: Maintaining aesthetic coherence across generations
Increasing image resolution while intelligently enhancing details using specialized AI models.
- AI Upscalers: ESRGAN, Real-ESRGAN for detail-aware resolution enhancement
- Multi-step Processing: Progressive upscaling for optimal quality preservation
- Face Enhancement: Specialized upscaling for portraits and facial features
- Tiled Processing: Handling large images through segmented upscaling