Generative AI for Film and VFX: From Creative Concepts to Studio-Ready Workflows

Generative AI is changing the possibilities—and the practical decisions—of film and visual effects production. Victor Perez’s Generative AI for Film and VFX connects the ideas behind these systems with workflows for screen-based media, giving readers a structured way to understand both the technology and its place in a professional pipeline.

The book balances technical foundations with creative practice. It explains key concepts from first principles, then turns to tools and production contexts, while keeping ethical and legal questions in view.

Start with the ideas behind the images

The opening chapters introduce artificial intelligence and machine learning, neural-network architectures, diffusion, and related concepts such as latent space and LoRAs. Hardware and performance considerations are also part of the discussion, helping readers understand the computational side of generative workflows alongside their creative uses.

Follow the workflow into production

ComfyUI and NUKE take a central place in the book’s applied material. Across its six chapters, Perez moves from core concepts and practical ComfyUI workflows to ComfyUI’s integration with NUKE for compositing, before surveying community tools and resources. That progression offers a useful frame for thinking about how generative systems can connect with familiar visual-effects processes.

Keep responsibility in the frame

Generative tools raise questions that cannot be settled by technique alone. The book addresses authorship, copyright, data provenance, and ethical use, encouraging a considered view of both the capabilities and the limits of these systems.

For students and working creatives

Film and VFX students, educators, researchers, and industry practitioners will find a technically grounded introduction to generative AI in screen production. Readers looking for a clearer understanding of diffusion-based tools, ComfyUI, NUKE integration, and the responsibilities surrounding their use will find those subjects brought together in one focused volume.

For a field moving quickly, Perez’s emphasis on fundamentals, workflow, and critical judgment gives readers more than a tour of tools: it provides a framework for evaluating where generative AI belongs in visual effects work.