A visual element displaying photographs, graphics, or illustrations that communicates information or creates visual interest. Optimize images for web delivery with appropriate formats, compression, and sizing for fast loading. Framer automatically optimizes uploaded images for optimal performance.

Related AI terms: Generative Fill and Image Segmentation.

Generative Fill replaces or creates content inside selected areas while matching surrounding context. It often depends on accurate Image Segmentation and pairs with Generative Expand for broader canvas edits.

ControlNet augments diffusion generation with explicit structural conditions such as edges, depth, or pose. It improves control in Diffusion Model systems and often uses cues from Image Segmentation.

Vision Transformer (ViT) applies transformer attention mechanisms to image patches for classification and representation learning. It is widely used in multimodal stacks with CLIP and in segmentation systems like Segment Anything Model (SAM).

Segment Anything Model (SAM) produces masks from points, boxes, or text-like prompts for rapid object selection. It underpins modern Image Segmentation workflows and improves control in Reference Image editing.