How to Make AI Films: Create Short Films with AI Video Generators

AI filmmaking has crossed from novelty to legitimate creative discipline. What started as grainy, inconsistent clips stitched together with hope and patience has matured into a production pipeline capable of producing cinematic short films, brand commercials, and narrative content that holds its own alongside traditionally produced work. The technology has not just improved -- it has fundamentally changed who can make films and how fast they can make them.

In 2025 and 2026, AI-generated films have screened at festivals, earned millions of views online, and attracted the attention of studios, agencies, and brands. The barrier to entry for filmmaking -- once defined by six-figure budgets, crew logistics, and months of post-production -- has collapsed. A single creator with a laptop, the right AI video tools, and a strong creative vision can now produce a short film in days that would have taken a traditional crew weeks.

This guide covers the entire AI filmmaking process: understanding the AI video models available today, building a production workflow from script to final cut, mastering prompting techniques for cinematic output, maintaining visual consistency across scenes, designing sound and music, and applying AI filmmaking to brand commercials. Whether you are an independent filmmaker exploring the medium or a brand creative team looking to produce cinematic ad content, this is your complete playbook.

What Is AI Filmmaking?

AI filmmaking is the process of using artificial intelligence video generation models to create motion picture content -- short films, commercials, music videos, trailers, and narrative sequences. Instead of capturing footage with a physical camera, AI filmmakers generate video clips from text prompts, reference images, or a combination of both.

The filmmaker's role shifts from operating physical production equipment to directing the AI: writing precise prompts that describe shots, specifying camera movements and angles, controlling lighting and color palette, and editing generated clips into a coherent narrative. The creative decisions remain entirely human. The execution is handled by AI.

AI filmmaking is not about replacing traditional filmmaking. It is about expanding what is possible -- enabling stories that would be impossible or prohibitively expensive to shoot physically, accelerating the production of commercial content, and giving creators without production budgets the ability to realize their creative vision.

AI Video Models for Filmmaking

The quality of your AI film depends heavily on which generation models you use. Each model has distinct strengths, and experienced AI filmmakers often use multiple models within a single project, selecting the right tool for each shot.

Veo 3.1 (Google DeepMind)

Veo 3.1 is Google's flagship video generation model and currently produces some of the most photorealistic output available. It excels at naturalistic footage with accurate physics, realistic lighting, and coherent human motion.

Best for: Dialogue scenes, realistic environments, natural lighting setups, documentary-style footage, landscape and establishing shots

Strengths:

• Exceptional photorealism and lighting accuracy
• Strong coherence in human faces and expressions
• Natural camera movements that feel like real cinematography
• Good consistency across longer generation durations

Filmmaking applications: Veo 3.1 is the go-to model for any scene that needs to feel grounded and realistic. Use it for character close-ups, dialogue exchanges, outdoor establishing shots, and any scene where the audience should forget they are watching AI-generated content.

Sora 2 (OpenAI)

Sora 2 brought dramatic improvements in temporal coherence and creative flexibility. It handles complex scene compositions and maintains consistency across subjects and environments better than most alternatives.

Best for: Complex multi-subject scenes, creative and surreal concepts, stylized narratives, scenes requiring strong temporal consistency

Strengths:

• Strong handling of complex scene compositions
• Creative interpretation of abstract prompts
• Good temporal consistency across longer clips
• Effective with stylized and non-photorealistic aesthetics

Filmmaking applications: Sora 2 shines in creative and conceptual filmmaking -- dream sequences, fantasy environments, abstract narratives, and any scene where creative interpretation adds value rather than detracting from realism.

Kling 2.6

Kling 2.6 has earned a strong reputation for motion quality and action sequences. It generates fluid, dynamic movement that makes it ideal for scenes involving physical action, dance, or complex body motion.

Best for: Action sequences, dance and movement, dynamic camera work, high-energy commercial content

Strengths:

• Excellent motion fluidity and body dynamics
• Strong performance with fast camera movements
• Good at generating crowds and group scenes
• Reliable with action-oriented prompts

Filmmaking applications: Any scene that requires impressive physical movement -- chase sequences, dance numbers, sports action, or dynamic product reveals. Kling 2.6 handles motion in a way that feels cinematic rather than synthetic.

Runway Gen-4

Runway Gen-4 is the most filmmaker-friendly model in terms of control and integration. Its ecosystem includes tools specifically designed for film production workflows, including camera path control, style references, and multi-shot consistency features.

Best for: Controlled shot design, consistent visual style, production pipeline integration, iterative refinement

Strengths:

• Granular control over camera movement and framing
• Strong style transfer and reference image adherence
• Purpose-built for creative production workflows
• Good integration with editing and post-production tools

Filmmaking applications: Runway Gen-4 is ideal when you need precise control over the visual output. Use it for shots where specific framing, camera paths, or visual style adherence is critical.

Wan 2.5

Wan 2.5 delivers strong results for stylized and animated content, with particular effectiveness in generating visually distinctive aesthetics that work well for music videos, experimental films, and brand content that benefits from a non-photorealistic look.

Best for: Stylized and artistic content, animation-adjacent aesthetics, music video production, experimental visual storytelling

Strengths:

• Excellent with stylized and artistic visual directions
• Strong color palette control
• Good at maintaining aesthetic consistency
• Effective with painterly and illustrative styles

Filmmaking applications: When your film calls for a distinctive visual style -- watercolor aesthetics, comic book looks, painterly cinematography, or any approach that deliberately moves away from photorealism.

Using Multiple Models in One Film

Professional AI filmmakers rarely use a single model for an entire project. A typical workflow might look like:

• Establishing shots and landscapes: Veo 3.1 for photorealism
• Character close-ups and dialogue: Veo 3.1 or Sora 2
• Action sequences: Kling 2.6 for motion quality
• Dream sequences or stylized moments: Sora 2 or Wan 2.5
• Precisely controlled camera movements: Runway Gen-4

AdCreate gives you access to all five of these models -- Veo 3.1, Sora 2, Wan 2.5, Kling 2.6, and Runway Gen-4 -- within a single platform. Instead of maintaining separate subscriptions and juggling different interfaces, you can select the optimal model for each shot and generate everything from one workspace.

Step-by-Step AI Filmmaking Workflow

Making an AI film follows a structured production pipeline. Skipping steps leads to inconsistent results, wasted generation credits, and films that feel like a collection of disconnected clips rather than a cohesive story.

Step 1: Write the Script

Every great film starts with a script, and AI films are no exception. Your script serves double duty: it is both your creative blueprint and the foundation for the prompts you will write.

Script structure for short films (2-5 minutes):

1. Logline: One sentence describing the core story (who, what, why)
2. Scene breakdown: 8-15 scenes, each 10-30 seconds
3. Shot descriptions: For each scene, 2-5 shots with visual descriptions
4. Dialogue/narration: If applicable, write the exact words
5. Emotional arc: Map the emotional journey -- opening tension, escalation, resolution

Tips for AI-optimized scripts:

• Write visually. Describe what the camera sees, not abstract emotions
• Keep scenes focused on one visual idea -- AI handles simplicity better than complexity
• Plan for 3-5 second clips per shot -- this is where AI generation is most reliable
• Include specific visual anchors (colors, objects, textures) that help maintain consistency

Step 2: Create a Storyboard

Storyboarding is more important for AI filmmaking than for traditional filmmaking. Your storyboard becomes the reference material that guides your prompts and ensures visual consistency.

Storyboarding options:

• AI image generation: Use image generation to create storyboard frames. These frames then serve as reference images for video generation
• Simple sketches: Even rough hand-drawn sketches help clarify shot composition before spending generation credits
• Photo references: Collect reference photos that capture the mood, lighting, composition, and color palette you want for each scene
• Mood boards: Create mood boards for each scene or act that establish the visual tone

The storyboard is your most important pre-production document. Time spent here saves exponentially more time during generation.

Step 3: Write Your Prompts

Prompt writing is the core skill of AI filmmaking. Your prompts are your camera, your lights, your set design, and your direction to actors -- all expressed in language.

Anatomy of a filmmaking prompt:

[Shot type] [Camera movement] of [Subject] [Action] in [Setting]. [Lighting description]. [Style/mood]. [Technical details].

Example prompt:
"Medium close-up, slow dolly forward, of a woman in a dark blue coat walking through a rain-soaked Tokyo street at night. Neon signs reflect in puddles on the asphalt. Warm sodium streetlights contrast with cool blue neon. Cinematic, film noir atmosphere. Shot on 35mm, shallow depth of field, slight film grain."

Prompt elements for filmmaking:

Element	Purpose	Examples
Shot type	Frame composition	Wide shot, medium shot, close-up, extreme close-up, over-the-shoulder
Camera movement	Visual dynamics	Dolly forward, tracking left, crane up, handheld, steadicam, static
Subject	Who/what we see	A young man, an elderly woman, a weathered fishing boat
Action	What happens	Walking slowly, turning to face camera, reaching for a door handle
Setting	Where it happens	Industrial warehouse, sunlit meadow, crowded subway car
Lighting	Mood and visibility	Golden hour backlighting, harsh fluorescent, candlelit, overcast diffused
Style	Visual aesthetic	Cinematic, documentary, film noir, Wes Anderson symmetry
Technical	Camera/film reference	35mm film, anamorphic lens, shallow DOF, 24fps

Step 4: Generate and Select Clips

With prompts written, begin generating video clips. This is an iterative process -- not every generation will be usable.

Generation workflow:

1. Generate 3-5 variations for each shot using your prompt
2. Review all variations for quality, consistency, and narrative fit
3. Select the best version of each shot
4. If no version meets your standard, refine the prompt and regenerate
5. Save selected clips organized by scene number and shot number

Quality checklist for each clip:

• Does the subject look consistent with other clips of the same character?
• Is the lighting consistent with the scene's established mood?
• Does the camera movement feel intentional and cinematic?
• Are there artifacts, flickering, or unnatural distortions?
• Does the clip serve the narrative at this point in the story?

Step 5: Edit and Assemble

Editing is where individual clips become a film. This step uses traditional video editing software (DaVinci Resolve, Premiere Pro, Final Cut Pro, or CapCut for simpler projects).

Editing principles for AI films:

• Pacing: AI clips often need trimming. Cut to the strongest 2-3 seconds of each clip
• Transitions: Use cuts almost exclusively. Dissolves and fades work for scene transitions. Avoid flashy transitions -- they highlight the artificial nature of the content
• Color grading: Apply a unified color grade across all clips to create visual cohesion. This is critical when using multiple AI models
• Sound design: Add ambient sound, foley, music, and dialogue in post. Sound is what makes AI films feel real (covered in detail below)

Step 6: Sound Design and Music

Sound design is arguably more important in AI filmmaking than in traditional filmmaking. Well-designed audio makes the audience feel the environment, believe the reality, and emotionally engage with the story. Without sound, even the best AI-generated visuals feel like a slideshow.

Shot Types and Camera Movements for AI Films

Mastering shot types is essential for creating AI films that feel cinematic rather than randomly generated. Every shot choice should serve the story.

Essential Shot Types

Extreme Wide Shot (EWS): Establishes location and scale. Shows the subject tiny within a vast environment. Use for opening shots, location transitions, and moments that emphasize isolation or grandeur.

Wide Shot (WS): Shows the full subject within their environment. Establishes spatial relationships. Use for scene-setting and showing physical action.

Medium Shot (MS): Frames the subject from roughly the waist up. The workhorse of filmmaking -- used for dialogue, walking, and most character interactions.

Close-Up (CU): Frames the face or a specific detail. Creates intimacy and draws attention to emotion or important objects. Critical for character-driven storytelling.

Extreme Close-Up (ECU): Shows a very small detail -- an eye, a hand, a texture. Creates tension, reveals details, and forces the viewer to focus on a specific element.

Over-the-Shoulder (OTS): Frames one character from behind another character's shoulder. Essential for dialogue scenes to establish spatial relationship between characters.

Camera Movements

Dolly (forward/backward): Moving the camera toward or away from the subject. Forward dolly creates intensity and focus. Backward dolly reveals context or creates a sense of growing distance.

Tracking (lateral): Camera moves parallel to a moving subject. Creates energy and forward momentum. Essential for walk-and-talk scenes and chase sequences.

Crane (up/down): Vertical camera movement. Crane up for reveals and establishing shots. Crane down to focus from environment to subject.

Pan (horizontal rotation): Camera rotates on its axis to follow action or reveal a scene. Slower pans feel contemplative. Faster pans create urgency.

Tilt (vertical rotation): Camera rotates vertically. Tilt up for reveals of tall structures or characters standing. Tilt down for reveals of ground-level details.

Handheld: Intentional camera shake that creates documentary-style immediacy and tension. Excellent for emotional scenes and action sequences.

Static: No camera movement. Creates a composed, intentional frame. Use for contemplative moments, symmetrical compositions, and establishing visual rhythm.

Lighting and Style Prompts for Cinematic Quality

Lighting defines the mood of every frame. In traditional filmmaking, lighting requires physical equipment, crew, and hours of setup. In AI filmmaking, lighting is controlled entirely through your prompt language.

Key Lighting Styles

Golden hour: Warm, low-angle sunlight casting long shadows and bathing scenes in amber tones. Prompt: "Golden hour sunlight, warm amber tones, long soft shadows, backlit subject"

Blue hour: Cool, diffused light just after sunset. Creates melancholic, introspective moods. Prompt: "Blue hour twilight, cool blue tones, soft diffused light, no harsh shadows"

High-key: Bright, even lighting with minimal shadows. Clean, optimistic, commercial feel. Prompt: "High-key lighting, bright and even, minimal shadows, clean white background"

Low-key: Dramatic lighting with deep shadows and high contrast. Noir, thriller, mystery tones. Prompt: "Low-key lighting, deep shadows, single light source from the left, high contrast, noir atmosphere"

Practical lighting: Light that comes from visible sources within the scene -- lamps, candles, screens, neon signs. Creates naturalistic and immersive environments. Prompt: "Lit only by practical lights -- a desk lamp casting warm light on the subject's face, neon signs visible through the window casting blue and pink reflections"

Rembrandt lighting: Classic portrait lighting where a triangle of light appears on the shadow side of the face. Prompt: "Rembrandt lighting, single key light from 45 degrees creating a triangle of light on the cheek, dramatic portrait lighting"

Style References That Work in Prompts

AI models respond well to specific stylistic references:

• "Shot on 35mm film" -- adds organic grain and warmth
• "Anamorphic lens" -- creates horizontal lens flares and wide aspect ratio feel
• "Shot by Roger Deakins" -- naturalistic, motivated lighting
• "Wes Anderson symmetry" -- centered, pastel, meticulous composition
• "Film noir" -- high contrast, shadows, dramatic angles
• "Christopher Nolan IMAX" -- grand scale, sharp detail, practical lighting
• "A24 indie film" -- naturalistic, intimate, slightly desaturated

Sound Design with AI

Sound is the invisible half of filmmaking, and for AI films, it is the element that separates amateur experiments from professional-quality productions.

Layers of Film Sound

1. Ambient sound / room tone: The background sound of the environment. Every location has a sonic character -- a quiet room hums differently than an outdoor street. AI tools can generate ambient soundscapes from text descriptions.

2. Foley: Specific sounds created by actions in the scene -- footsteps, door handles, fabric rustling, glass clinking. Adding foley to AI video makes the world feel tangible.

3. Music: Underscore that supports the emotional tone of each scene. AI music generation tools (Suno, Udio, AIVA) can create custom soundtracks matched to your film's mood, tempo, and genre.

4. Dialogue: Spoken words by characters. For AI films, dialogue options include:

   • AI voice generation matched to characters
   • AdCreate's Persona AI talking avatars for scenes requiring visible speakers with 100+ avatar options and 40+ language support
   • Voice-over narration recorded or generated
   • Text-on-screen in place of spoken dialogue (a common stylistic choice in AI short films)

5. Sound effects: Non-foley sounds that enhance the visual experience -- thunder, explosions, musical stingers, transitions. Use these sparingly for maximum impact.

Sound Design Workflow

1. Watch the rough cut silent and note every moment that needs sound
2. Layer ambient sound first -- this establishes the sonic world
3. Add foley for key actions -- footsteps, object interactions, character movements
4. Place music -- underscore that supports the emotional arc without overwhelming it
5. Add dialogue or narration where needed
6. Mix and balance -- no single layer should dominate unless intentionally

Notable AI Films: Learning From the Best

Studying successful AI films reveals what works and what to avoid.

Landmark AI Films

"The Frost" (2024) -- One of the first AI short films to receive widespread critical attention. Demonstrated that AI could create atmospheric, emotionally resonant storytelling when paired with strong writing and sound design.

"Air Head" by Shy Kids (2024) -- Selected for Sundance Film Festival, this AI-generated short proved that AI filmmaking could meet the curatorial standards of major film institutions. Its success validated AI as a serious filmmaking tool.

"The Last Screenwriter" (2024) -- A thought-provoking narrative about AI replacing human creativity, created entirely with AI tools. Meta-commentary that demonstrated the medium's capacity for thematic depth.

Brand-side AI films (2025-2026): Major brands including Coca-Cola, Nike, and BMW have incorporated AI-generated footage into commercial campaigns. These projects demonstrated that AI filmmaking has reached commercial production quality for advertising contexts.

What Successful AI Films Have in Common

1. Strong scripts: The narrative is compelling independent of the production method
2. Intentional shot design: Every shot is chosen for a reason, not randomly generated
3. Sound design investment: Sound quality matches or exceeds visual quality
4. Visual consistency: Characters, settings, and lighting remain coherent across scenes
5. Emotional truth: The films connect with audiences on a human level despite being machine-generated
6. Post-production polish: Color grading, editing rhythm, and transitions are professionally executed

AI Filmmaking for Brand Commercials

The most immediate commercial application of AI filmmaking is brand advertising. AI-generated commercials offer dramatic advantages in cost, speed, and creative flexibility.

Why Brands Are Adopting AI Filmmaking

Cost reduction: A traditional 30-second commercial costs $10,000-$500,000+ depending on production value. AI-generated commercials can achieve comparable quality for a fraction of the cost, making cinematic advertising accessible to brands at every budget level.

Speed: Traditional commercial production takes 4-12 weeks from concept to delivery. AI filmmaking compresses this to days, enabling brands to respond to cultural moments, seasonal shifts, and competitive moves in near-real-time.

Creative iteration: AI lets brands generate 10-20 variations of a commercial concept and test them before committing to a single direction. Traditional production makes this economically impossible.

Global localization: Generate the same commercial concept across multiple cultural contexts, languages, and regional aesthetics without separate production runs.

Brand Commercial Workflow with AI

1. Creative brief: Define the brand message, target audience, tone, and key visual elements
2. Script and storyboard: Write the commercial script and create visual storyboards
3. Generate hero shots: Use text-to-video generation to create the primary visual sequences. Select the best model for each shot type
4. Add brand elements: Overlay logos, product shots (using image-to-video for product imagery), typography, and CTAs
5. Create spokesperson content: Use AdCreate's Persona AI to add presenter-driven segments with over 100 avatar options speaking in 40+ languages
6. Sound and music: Add professional audio -- voice-over, music, and sound design
7. Format for platforms: Export in formats optimized for each advertising platform

Using AdCreate's Ad Wizard for Commercials

AdCreate's Ad Wizard streamlines the commercial creation process with 50+ professionally designed templates. Instead of starting from a blank canvas, select a template that matches your commercial format -- product showcase, testimonial, before-and-after, or story-driven narrative -- and customize it with your brand assets, messaging, and generated video content. The Ad Wizard handles pacing, transitions, text placement, and CTA integration automatically.

Finding Trending Commercial Formats

AdCreate's Trend Scout feature, available through the AI Toolbox with 16+ tools, analyzes current advertising trends across platforms to identify which commercial formats, styles, and approaches are performing best in your category. Use Trend Scout to inform your AI filmmaking direction -- whether audiences are responding to documentary-style authenticity, fast-paced montages, or character-driven storytelling.

Tips for Visual Consistency Across Scenes

The biggest challenge in AI filmmaking is maintaining visual consistency. Each generation is independent, meaning characters can look different from shot to shot, lighting can shift unexpectedly, and environments can change subtly between clips.

Character Consistency Strategies

1. Detailed character descriptions: Write a master character description and include it in every prompt featuring that character. Specify hair color, style, length, skin tone, age range, build, clothing, and distinguishing features.

2. Reference images: Use image-to-video generation with a consistent reference image of your character. This anchors the AI to a specific visual appearance.

3. Wardrobe anchoring: Give characters distinctive, easily described clothing that you can reference precisely in every prompt. A "woman in a long dark red coat" is more consistently generated than a "woman in casual clothes."

4. Limited character count: Fewer characters means fewer consistency challenges. Many successful AI short films use a single protagonist for exactly this reason.

Environment Consistency Strategies

1. Establish the setting visually first: Generate a wide establishing shot that defines the environment, then use it as a reference for subsequent shots in the same location.

2. Consistent lighting descriptions: Use the exact same lighting description language across all prompts for a given scene.

3. Color palette anchoring: Specify the dominant colors in the environment consistently: "dimly lit room with warm amber tones and dark wood surfaces" rather than vague descriptions.

4. Time-of-day consistency: Specify the time of day explicitly in every prompt for outdoor scenes. Lighting shifts between morning and afternoon look inconsistent when intercut.

Color Grading as a Unifier

Even with perfect prompting, raw AI-generated clips will have subtle color and tonal differences. A unified color grade in post-production is the single most effective technique for making diverse AI clips feel like they belong to the same film.

Apply a single LUT (Look-Up Table) or grade across all footage. This creates visual continuity that ties together clips generated across different models, sessions, and prompting approaches.

Frequently Asked Questions

What equipment do I need to make an AI film?

You need a computer with a reliable internet connection, an AI video generation platform (AdCreate provides access to Veo 3.1, Sora 2, Wan 2.5, Kling 2.6, and Runway Gen-4 in one place), video editing software (DaVinci Resolve is free and professional-grade), and audio editing capability. No camera, lighting equipment, studio space, or crew is required. The total startup cost is dramatically lower than traditional filmmaking -- you can begin producing AI films for under $50/month in tool subscriptions.

How long should an AI short film be?

Most successful AI short films run between 1-5 minutes. The sweet spot for narrative AI films is 2-3 minutes -- long enough to tell a complete story with emotional arc, short enough that consistency challenges are manageable and audience attention is maintained. For brand commercials, 15-60 seconds is standard. Start shorter and increase duration as you develop your workflow and prompting skills.

Can AI films be submitted to film festivals?

Yes. AI films have already been selected for major festivals including Sundance. The festival landscape is evolving rapidly -- some festivals now have dedicated AI film categories, while others evaluate AI films alongside traditional entries. Always disclose AI generation in your submission materials. The creative community values transparency, and attempting to pass off AI work as traditionally produced footage damages credibility.

How do I maintain character consistency across an entire AI film?

Character consistency is the primary technical challenge in AI filmmaking. Use these techniques in combination: write a detailed master character description and paste it into every prompt, use reference images generated from a single source image, anchor characters with distinctive and easily described wardrobes, minimize the number of characters, and apply a unified color grade in post-production. Some filmmakers also use AI image editing to face-swap a consistent face onto AI-generated video clips for critical consistency.

What is the best AI model for filmmaking?

There is no single best model -- the best AI filmmakers use multiple models strategically. Veo 3.1 produces the most photorealistic output and is ideal for grounded, realistic scenes. Sora 2 excels at creative and complex compositions. Kling 2.6 is superior for action and dynamic movement. Runway Gen-4 offers the most precise camera control. Wan 2.5 is excellent for stylized aesthetics. AdCreate's multi-model platform lets you switch between all five models to select the optimal generator for each shot.

Can AI filmmaking be used for brand advertising?

Absolutely -- brand advertising is one of the strongest use cases for AI filmmaking right now. Brands can produce cinematic commercial content at a fraction of traditional production costs, iterate on creative concepts rapidly, generate multiple versions for A/B testing, and localize content for different markets. AdCreate's platform is specifically designed for this workflow, combining multi-model video generation, Persona AI avatars for spokesperson content, the Ad Wizard with 50+ templates, and AI Toolbox with 16+ creative tools in a single production environment.

How much does it cost to make an AI film?

Costs vary based on length and complexity, but AI filmmaking is dramatically more affordable than traditional production. A 2-3 minute short film might require 50-150 video generations, which on platforms like AdCreate can be accomplished within standard subscription plans starting at $23/month. By comparison, a traditionally produced short film of similar quality would cost $5,000-$50,000+. The primary investment in AI filmmaking is your time and creative skill, not your budget.

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AI filmmaking is no longer an experiment -- it is a production methodology that delivers cinematic results at a pace and price point that traditional production cannot match. Whether you are creating narrative short films, brand commercials, or experimental visual art, the tools are here today. Start making your first AI film with AdCreate's multi-model video generation platform -- access Veo 3.1, Sora 2, Kling 2.6, Runway Gen-4, and Wan 2.5 from a single workspace with 50 free credits to begin your filmmaking journey.