This topic covers the leading image and multimodal generative-AI tools used to accelerate creative workflows—how they generate, edit, scale and integrate visual and video assets within teams and pipelines. Drawing on the provided tool descriptions and industry trends through early 2026, it explains the roles these tools play, current integration patterns, and practical tradeoffs for creators. Generative image and video capabilities are now embedded across categories: AI Image Generators (creative concepting and high‑quality renders), Generative Video Tools and Video Creation Tools (clip generation, scene editing and synthesis), and AI Image Editing (background removal, upscaling, relighting and nondestructive corrections). Key tools include Adobe Firefly (prompt-based image, vector, text and video generation integrated into Creative Cloud), Runway (node-based, chainable multimodal workflows with developer APIs), Clipdrop (background edits, uncropping, upscaling and relighting), Canva Magic Design (prompted, editable on‑brand designs), and Stability AI (enterprise multimodal models and DreamStudio endpoints). Utility tools such as Figma and Photopea remain central for collaborative design and browser-local editing; specialist services like image-upscaling.net and KDP Book Covers target high-resolution outputs and fast, format-specific production. AskTube.Ai illustrates adjacent multimodal workflows—structuring video content into searchable assets. Current trends: tighter integration into existing design apps, emphasis on APIs and node-based automation for repeatable pipelines, privacy/local-processing options, and a shift from single-image generation to end‑to‑end multimodal production (assets, templates and edits). When choosing tools, teams should weigh integration, export formats, upscaling/quality, automation, and data‑usage policies to align capabilities with production scale and brand requirements.