AI in Film

Q: How do I submit a project to One Movie Project?

Submissions for the 2025/26 edition close on March 31, 2026. Send a treatment, sample script pages, director's statement and AI tooling notes. Selected projects receive mentorship, production support and access to AMA AI Film resources.

// Definition

What is AI filmmaking?

AI filmmaking is the practice of producing films using generative artificial intelligence as a first-class production tool — alongside the camera, editing room and post-production pipeline. It is not a special effect; it is a distinct cinematic language emerging right now.

Unlike classical CGI or VFX, AI filmmaking relies on diffusion and autoregressive models that generate image, sound and motion from text prompts, reference images or live-action footage. This shifts not only the toolkit but also the director's role, the crew workflow and the production budget.

Polish AI filmmaking has been growing since 2023 — first short films, AI-focused festivals, education programs and debut competitions. AMA Film Center is developing one of the first ecosystems in Poland that connects classical filmmaking, AI production, generative video, VFX/AI, education and the One Movie Project debut program.

// HYBRID PRODUCTION

In practice, most Polish AI productions today are hybrid productions — combining the strengths of both worlds. The director keeps creative control, the actor keeps their presence, and AI adds scale, generative environments, speed and access to new visual forms.

// Production stack

AI tools we use at AMA

Our pipeline combines next-generation generative models with proven post-production software. The current toolkit:

TEXT-TO-VIDEO

Sora 2

OpenAI's flagship video model. Strong physics, character consistency and cinematic camera language. Used for narrative shots and previz at AMA AI Film.

TEXT-TO-VIDEO

Veo 3.1

Google DeepMind's video model with native audio generation. Best-in-class for synchronized dialogue and ambient sound. Excellent for music-driven sequences.

VIDEO & CONTROL

Runway Gen-4

Industry-standard creative tool with strong character consistency and image-to-video workflows. Used widely in commercials and short-form content.

VIDEO

Kling 2.6

Strong on motion realism and human characters. Often used for action and dynamic camera moves. Cost-effective alternative to Sora and Veo.

CREATIVE SUITE

Freepik AI Suite

Multi-model creative platform. AMA Film Center is a strategic Freepik partner — we use it daily for concept art, mood boards and generative video iterations.

WORKFLOW

ComfyUI

Open-source node-based interface for diffusion models. We build custom workflows for character consistency (LoRA), upscaling and shot-to-shot continuity.

UPSCALING

Topaz Video AI

Industry-standard for upscaling generative footage from 720p / 1080p to 4K, frame interpolation and denoising. Mandatory step in our finishing pipeline.

VOICE & AUDIO

ElevenLabs

Voice cloning, dubbing and synthetic dialogue. Used for previz, multilingual versions and ADR replacement. Integrated with our post-production workflow.

// Glossary

AI filmmaking glossary — 15 essential terms

A working vocabulary for anyone entering AI filmmaking. These terms recur across our productions, courses and industry conversations.

Generative video

Video produced entirely by AI models (text-to-video or image-to-video) without traditional cameras. Includes Sora, Veo, Runway, Kling and others.

Diffusion model

A class of generative AI that creates images and video by progressively denoising random patterns guided by a prompt. Powers Stable Diffusion, Midjourney, ComfyUI and most image generators.

Prompt engineering

The craft of writing instructions for AI models. In film context: structuring prompts to control style, camera movement, lighting, character consistency and continuity between shots.

LoRA (Low-Rank Adaptation)

A lightweight fine-tuning method that teaches a base model a specific character, style or aesthetic. Used in production to maintain character consistency across multiple AI-generated shots.

Image-to-video (i2v)

Generating motion from a starting frame. Standard workflow: design a perfect still in Midjourney or Freepik, then animate it in Kling, Runway or Sora.

Text-to-video (t2v)

Generating video directly from a text prompt, with no source image. Higher creative freedom but harder to control composition and continuity.

Inpainting

Filling in or replacing a region of an image or frame using AI, while preserving the rest. Used for cleanup, object removal, set extensions and selective re-rendering.

Upscaling

AI-driven resolution increase. Generative video typically outputs at 720p or 1080p; tools like Topaz Video AI take it to 4K with added detail. A finishing-pipeline standard.

Virtual production

Live-action shooting against LED walls displaying real-time generated environments, often combining Unreal Engine with AI-generated backgrounds. A bridge between physical and AI cinema.

Voice cloning

Generating speech in the voice of a specific actor from a short reference. Standard tools: ElevenLabs, Descript. Used for ADR, multilingual versions and previz dialogue.

Synthetic media

Any media (image, video, audio) entirely generated by AI. Distinct from classical CGI — synthetic media is generated by neural networks, not modeled by an artist.

Hybrid production

A film combining live-action footage with AI-generated elements (backgrounds, VFX, characters). The dominant model for most "AI films" produced today, including AMA AI Film projects.

Previz (AI previsualization)

Quick AI-generated previews of shots and sequences for the director, DP and crew. Replaces traditional storyboarding — cuts pre-production planning time by 60–80%.

VFX/AI

A post-production pipeline combining classical VFX tools (Nuke, Resolve Fusion) with diffusion models for inpainting, rotoscoping, set extensions and neural rendering.

Character consistency

The challenge of keeping the same character recognizable across multiple AI-generated shots. Solved through LoRA fine-tunes, reference images, and consistent prompt structures.

// FAQ

AI filmmaking — frequently asked questions

How is AI filmmaking different from traditional film production?

Traditional production relies on a camera, a crew of 30–100 people, locations and physical sets. AI filmmaking generates images directly from prompts and reference material, using diffusion and autoregressive models. Smaller crews (3–15 people), faster iteration, lower per-shot cost — but new challenges around character consistency, ethics and rights.

Will AI replace film directors and cinematographers?

No. AI changes the toolkit, not the craft. The director's eye for story, performance and rhythm remains essential. AI extends what's possible — but creative vision, taste and dramaturgy stay human. New roles emerge (AI Film Director, Generative Video Artist) alongside classical ones.

What does an AI film cost?

For Polish productions in 2026: AI shorts (1–3 min) run €3–15k, hybrid shorts (5–15 min) €18–60k, AI features (70+ min) €110k–700k. That's typically 5–10× cheaper than equivalent classical productions, though more budget shifts to GPU compute, model licensing and pipeline talent.

Who owns AI-generated content?

Rights remain a developing area. Under the EU AI Act and Polish copyright law, fully AI-generated content typically isn't copyrightable, but human-directed works incorporating AI usually are. We follow EU AI Act compliance, document the human creative contribution, and license commercial-use models. Each production gets its own legal review.

Can I learn AI filmmaking at AMA?

Yes. AMA Film Academy offers VFX & AI Production (full-time, Krakow), AMA Future Filmmaking Lab (weekend program, Krakow), and dedicated AI modules in classical directing, cinematography and post-production tracks. Programs run in Krakow and Warsaw.

Which AI video model should I start with?

It depends on the shot. For cinematic narrative work — Sora 2 or Veo 3.1. For commercial fast-turnaround — Runway Gen-4. For motion-heavy action — Kling 2.6. For maximum control and custom workflows — ComfyUI with Stable Diffusion. Most productions use 2–3 in parallel.

Does AMA accept international applicants?

Yes. AMA Film Academy welcomes international students. Most classical programs run in Polish, but several specialized AI tracks accommodate English-speaking participants. One Movie Project also accepts international submissions in English. Contact us at info@amafilmcenter.pl for details.

How do I submit a project to One Movie Project?

Submissions for the 2025/26 edition close on March 31, 2026. Send a treatment, sample script pages, director's statement and (if applicable) AI tooling notes. Selected projects receive mentorship, production support and access to AMA AI Film resources.

// See also