Text to Video

Generate professional AI videos from text prompts using Google Veo, OpenAI Sora, and Kling. Create high-fidelity, temporally coherent video content in minutes.

Text to Video (T2V) Generation

The Text to Video engine is the most advanced capability within ArtCreate.ai. It allows users to synthesize high-fidelity, temporally coherent video clips ranging from 5 to 60 seconds (model dependent) solely from natural language descriptions.

Supported Architectures

We provide access to a multi-model ecosystem, allowing you to choose the best engine for your specific aesthetic needs.

1. Google Veo 3.1

  • Strengths: Exceptional photorealism, complex physics simulation (fluids, cloth), and precise understanding of cinematographic terms.
  • Resolution: Up to 1080p native.
  • Duration: 5s - 10s clips.

2. OpenAI Sora 2 (Pro)

  • Strengths: Creative motion, surrealism, long-format coherence, and highly detailed textures.
  • Resolution: Up to 1080p.
  • Cons: Higher credit cost due to compute intensity.

3. Kling & Wan Video

  • Strengths: Excellent human motion, Asian aesthetic optimization, and efficient processing speeds.

Technical Specifications

ParameterSpecification
Output FormatMP4 (H.264 Codec)
Frame Rate24fps or 30fps (Model Dependent)
Aspect Ratios16:9 (Landscape), 9:16 (Vertical), 1:1 (Square), 2.35:1 (Cinematic)
Max Resolution1920x1080 (HD) / 2048x1080 (2K)
Generation Time2 - 10 Minutes (Queue dependent)

Professional Workflow

Step 1: Model Selection

Navigate to the "Provider" dropdown.

  • Use Veo for realistic product commercials or nature shots.
  • Use Sora for rapid motion scenes or creative storytelling.

Step 2: Prompt Engineering

To achieve professional results, your prompt should follow this structure: [Subject] + [Action] + [Environment] + [Lighting/Camera] + [Style]

Example Prompt:

"A close-up macro shot of a dew drop falling off a green leaf, slow motion, morning sunlight, bokeh background, photorealistic 8k, high dynamic range."

Step 3: Global Settings

  • Duration: Longer videos require more credits and have a higher chance of temporal hallucinations.
  • Resolution: 720p is efficient for preview; 1080p is recommended for final production.

Troubleshooting & Optimization

Issue: The video has "morphing" artifacts.

  • Solution: This usually happens with over-complex prompts. Simplify the action description.

Issue: Low face quality in wide shots.

  • Solution: This is a limitation of current diffusion video models. Focus on medium or close-up shots for best facial fidelity.

Issue: Rapid camera movement causes blur.

  • Solution: Add "slow smooth camera movement" or "tripod shot" to your prompt to stabilize the generation.