Veo 3.1 I2V for Kie
Google DeepMind’s upgraded AI video model for realistic motion generation, extended clip duration, multi-image reference control, and synchronized audio output in native 1080p.
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Pricing: Lite mode (text-to-video / image-to-video): 720P — 30 credits (≈ $0.15) per video; 1080P — 35 credits (≈ $0.175) per video; 4K — 150 credits (≈ $0.75) per video. Fast mode (text-to-video / image-to-video / reference-to-video): 720P — 60 credits (≈ $0.30) per video; 1080P — 65 credits (≈ $0.325) per video; 4K — 180 credits (≈ $0.90) per video. Quality mode (text-to-video / image-to-video): 720P — 250 credits (≈ $1.25) per video; 1080P — 255 credits (≈ $1.275) per video; 4K — 370 credits (≈ $1.85) per video.
Veo 3.1 [image-to-video]
Veo 3.1 is Google DeepMind’s next-generation AI video model specialized in transforming static images into cinematic, high-motion video sequences with realistic animation, natural camera movement, and synchronized audio generation.
Designed for advanced image-to-video workflows, Veo 3.1 preserves the visual identity, composition, lighting, and artistic style of source images while introducing fluid motion, environmental dynamics, and cinematic storytelling behavior.
The model enables creators, studios, and API-driven platforms to convert single frames, concept art, product shots, illustrations, or AI-generated imagery into immersive video content with minimal manual animation work.
Built for
- Image-to-video animation workflows
- AI cinematic scene expansion
- Character animation from still images
- Product showcase videos
- Social media reels and shorts
- Concept art visualization
- Music video sequences
- Creative storytelling pipelines
Advanced Image-to-Video Animation
Veo 3.1 intelligently analyzes source imagery to generate realistic motion, preserving subject consistency while adding depth, movement, environmental interaction, and cinematic transitions.
Instead of applying generic animation patterns, the model understands scene structure, object relationships, camera perspective, and visual context to produce more believable video sequences.
Cinematic Camera Motion
The system generates dynamic camera movements including:
- Slow cinematic push-ins
- Orbit camera shots
- Tracking movements
- Depth parallax effects
- Handheld cinematic motion
- Smooth environmental transitions
These movements help transform static visuals into immersive cinematic scenes.
Character and Style Consistency
Veo 3.1 maintains strong visual consistency across generated frames, helping preserve facial identity, clothing details, lighting conditions, textures, and artistic direction during animation.
This makes the model particularly effective for narrative content, branded media, and character-focused productions.
Environmental Motion Simulation
The model can generate realistic environmental behavior such as:
- Wind interaction
- Rain and atmospheric effects
- Water movement
- Dynamic lighting changes
- Smoke, fog, and particles
- Natural scene motion
These effects contribute to more immersive and physically believable animations.
Native Audio Integration
Veo 3.1 supports synchronized audio generation directly inside the video pipeline, including ambient sound, cinematic effects, environmental audio, and contextual sound design aligned with the generated motion.
Flexible Creative Workflows
- Single-image animation generation
- First-frame guided video creation
- Scene continuation workflows
- Vertical and cinematic aspect ratios
- Short-form content optimization
- API-ready automation pipelines
Production-Oriented Architecture
Veo 3.1 is optimized for creators and production teams that require scalable image-to-video generation with strong motion quality, cinematic realism, and minimal post-processing requirements.
Its multimodal architecture prioritizes visual coherence, semantic understanding, and realistic motion behavior, making it suitable for professional AI-assisted video production pipelines.