Runway's latest generation of AI video tools is fundamentally changing how artists build large-scale animated worlds, cutting production timelines from weeks to minutes while giving creators unprecedented control over character consistency and visual coherence. The Dutch artist collective SMACK, which has exhibited work at the National Gallery of Victoria and major international venues, is using Runway's platform to explore contemporary themes through towering allegorical structures populated by hundreds of hybrid characters and symbolic elements. What Makes Runway Different for Professional Artists? SMACK's experience reveals a critical shift in how AI video generation is evolving. Rather than replacing traditional animation and 3D modeling, Runway has become a hybrid tool that accelerates the creative pipeline while preserving artistic intent. The collective explained that their earlier workflow involved a lengthy sequence of sketching, 3D modeling, texturing, animation, rendering, and compositing. Today, that process has been fundamentally reimagined. The breakthrough came from improved consistency and control. In the early days of AI image generation, these tools were unpredictable and difficult to steer toward specific creative goals. As one member of SMACK noted, "Early tools didn't really allow that" level of control, and "most AI image tools are strong in style but less precise when it comes to content." The challenge was especially acute for projects requiring detailed worlds with many characters and architectural elements where visual coherence matters. What changed is that Runway now allows artists to train custom models, develop consistent characters, and guide output so it fits within a larger visual system. This means creators can build worlds that feel coherent rather than producing isolated, disconnected images. The speed improvement is equally dramatic: 3D rendering video that used to take days or weeks can now be generated in minutes. How Are Artists Leveraging Runway's Tools in Real Production? SMACK's "Towers" project demonstrates the practical workflow that has emerged. The collective uses Runway to generate large numbers of visual possibilities early in the creative process, allowing them to explore unexpected character designs and movements much faster than traditional methods would permit. The workflow has become what they describe as a hybrid process: drawing, prompting, generating, selecting, and refining. One of the most interesting aspects is how AI introduces productive unpredictability. Sometimes a generated result reveals an unexpected angle that fits the narrative perfectly. These accidental discoveries are then developed further and molded back into the project. For the Towers project specifically, SMACK uses Runway's tools to quickly test how characters might move or behave inside the towers, gradually building animated environments piece by piece. The consistency challenge was solved through a combination of approaches. In the beginning, SMACK used a combination of Runway, other AI models, and their own trained models inside Krita, an open-source alternative to Photoshop, to generate individual elements. Different tools were needed for different tasks. However, as Runway's models improved and incorporated strong third-party models, more of that process gradually shifted into Runway itself. At this point, the collective does most of the generation work directly within Runway. Steps to Building Consistent AI-Generated Worlds - Start with Traditional Sketching: Begin with pencil drawings and visual notes to establish the core concept and character designs before introducing AI generation tools. - Generate Variations Early: Use AI to create large numbers of visual possibilities in the early stages rather than carefully designing every variation beforehand, allowing for faster exploration of unexpected directions. - Train Custom Models for Consistency: Develop and train custom models within Runway to maintain visual coherence across multiple characters and architectural elements that must function as a unified composition. - Use Hybrid Workflows: Combine AI generation with traditional techniques like 3D modeling and manual refinement, treating AI as an acceleration tool rather than a replacement for artistic judgment. - Implement Hand-Selection and Curation: Since AI generation produces many variations, develop a systematic approach to hand-picking and organizing material to create meaningful compositions that serve your narrative. Why This Matters Beyond Art Studios The implications extend far beyond fine art. SMACK's experience shows that AI video generation tools are maturing from novelty applications into production-grade software for professional creators. The key differentiator is not raw visual fidelity alone, but the ability to maintain control, consistency, and artistic intent across complex projects. The speed improvements are particularly significant. When rendering that previously took weeks can now be completed in minutes, it fundamentally changes what's possible within a production timeline. This allows artists to test many variations and discover unexpected directions before committing to final designs. However, this abundance of options also creates new challenges: curating and organizing generated material has become a more prominent part of the creative workflow. SMACK's "Towers" project itself explores how contemporary systems of power and belief can be visualized through architecture. Each tower represents a different force, such as wealth, technology, or individual freedom, translated into animated form. The Gilded Baron explores wealth and control; The Fire Thief reflects how technology shapes society; and a third tower examines how the concept of freedom has shifted from a shared ideal to a fragmented, individual pursuit. These are complex narratives that require visual sophistication and consistency across hundreds of characters and symbolic elements. The artist collective's work has been recognized internationally, with their monumental digital triptych "SPECULUM," developed with Coleccion SOLO, now part of the permanent collection of the National Gallery of Victoria. This institutional validation suggests that AI-assisted creative work is moving beyond experimental territory into established art historical contexts. As AI video generation tools continue to improve, the pattern emerging from studios like SMACK suggests that the future belongs to platforms that balance creative freedom with technical control. The artists who will thrive are those who understand how to use these tools as extensions of their vision rather than replacements for artistic decision-making. For Runway and similar platforms, the challenge is continuing to improve consistency, control, and speed while maintaining the unpredictability that sometimes leads to the most interesting creative discoveries.
