veo-3-1/first-last-frame-to-video
veo-3-1/first-last-frame-to-video
Introduction to Veo 3.1 Image-to-Video
Released on October 15, 2025, Veo 3.1 image-to-video is Google's latest generative AI video model from DeepMind, evolving the capabilities of Veo 3. Available through Gemini API, Google AI Studio, Vertex AI, and Flow, Veo 3.1 extends video generation with synchronized native audio, multi-scene sequencing, cinematic presets, and reference image anchoring. You can now produce 1080p clips lasting up to a full minute, supporting vertical formats like 9:16 and maintaining character and lighting consistency across scenes. It delivers stronger prompt fidelity, enhanced realism, improved narrative control, and faster creative iteration—making Veo 3.1 a powerful creative engine for modern storytellers. Veo 3.1 image-to-video lets you turn text and images into vivid, coherent scenes with natural motion, dialogue, and sound. Designed for creators, marketers, and studios, it generates polished videos that match your vision, helping you craft cinematic stories faster and more accurately.
Examples Generated with Veo 3.1








Veo 3.1 on X: Community and Updates
Veo 3.1's YouTube Videos and Reviews















Frequently Asked Questions
What is Veo 3.1 and how does its image-to-video generation function?
Veo 3.1 is a generative AI model created by Google DeepMind that converts text and images into realistic video clips. Its image-to-video capability lets users upload reference images to guide visual style or scene composition, producing high-quality, coherent clips with synchronized sound.
How does Veo 3.1 differ from earlier versions when using image-to-video generation?
Veo 3.1 introduces multi-scene sequencing, longer clip durations up to 60 seconds, stronger scene consistency, and improved adherence to visual prompts. The image-to-video process also benefits from new cinematic presets and higher 1080p output quality compared to Veo 3.
Is Veo 3.1 free to use or does it require a paid subscription?
Access to Veo 3.1 is available through platforms like Vertex AI, Google AI Studio, and Runcomfy’s playground on a credit-based system. While some free trial credits are offered to new users, extended image-to-video generation may require purchasing additional credits or using a paid plan.
Who should use Veo 3.1 for image-to-video projects?
Veo 3.1 is ideal for content creators, educators, and marketing professionals who need to quickly produce cinematic, story-driven videos. Its accurate image-to-video output makes it especially useful for brand storytelling, explainer clips, and social media productions that demand high fidelity and narrative control.
What quality should I expect from Veo 3.1 image-to-video results?
Videos generated with Veo 3.1 can reach up to full HD (1080p) resolution with synchronized audio and consistent visuals. The image-to-video model ensures strong continuity across scenes, delivering cinematic motion, lighting coherence, and professional-grade realism in each output.
Can Veo 3.1 generate videos with sound and dialogue from image-to-video prompts?
Yes. Veo 3.1 includes native audio generation, combining music, ambient sounds, and dialogue synchronization along with visual content. This makes the image-to-video process more immersive and helps deliver complete sequences ready for direct use in creative projects.
Where can I access Veo 3.1 and try its image-to-video capabilities?
Users can access Veo 3.1 via the Gemini API, Google AI Studio, Vertex AI, and Runcomfy’s AI playground at runcomfy.com. After logging in, you can generate clips using the image-to-video module and spend credits according to the selected video duration and resolution.
Are there any limitations or caveats when using Veo 3.1 for image-to-video generation?
Veo 3.1 performs best with well-structured prompts and high-quality reference images. However, extended scenes beyond 60 seconds or highly complex multi-character interactions may need separate generation passes. The image-to-video results are realistic but might still require post-editing for fine-tuning color or timing.
