Text-to-Video
Generates video clips from natural language text prompts. Accepts up to 1,000 tokens of prompt input per request.
Veo 3.1 Fast is a video generation model developed by Google, part of the Veo 3.1 model family. It is optimized for speed, making it suitable for workflows that require rapid video output at scale. The model is available through both the Gemini API and Vertex AI, giving developers two integration paths for production use. The stable endpoint identifier is veo-3.1-fast-generate-001, which replaced an earlier preview endpoint. Veo 3.1 Fast accepts text prompts as well as image inputs, including single images and image arrays, allowing for both text-to-video and image-to-video generation workflows. It supports configuration options such as aspect ratio, duration, and resolution through toggle-based parameters. The model is best suited for developers and creators who need to generate video content quickly at scale and require a stable, production-grade API endpoint for integration into their pipelines.
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A fuller summary of positioning, capabilities, and source-specific details for Veo 3.1 Fast.
Veo 3.1 Fast is a video generation model developed by Google, part of the Veo 3.1 model family. It is optimized for speed, making it suitable for workflows that require rapid video output at scale. The model is available through both the Gemini API and Vertex AI, giving developers two integration paths for production use. The stable endpoint identifier is veo-3.1-fast-generate-001, which replaced an earlier preview endpoint.
Veo 3.1 Fast accepts text prompts as well as image inputs, including single images and image arrays, allowing for both text-to-video and image-to-video generation workflows. It supports configuration options such as aspect ratio, duration, and resolution through toggle-based parameters. The model is best suited for developers and creators who need to generate video content quickly at scale and require a stable, production-grade API endpoint for integration into their pipelines.
Generates video clips from natural language text prompts. Accepts up to 1,000 tokens of prompt input per request.
Animates or extends video from one or more input images. Supports single image URLs and image URL arrays as starting frames.
Optimized for speed within the Veo 3.1 model family, reducing generation time for high-throughput video workflows.
Supports multiple toggle-based settings including aspect ratio, resolution, and duration to control video output format.
Accepts a seed value as input, enabling reproducible video generation results across repeated requests.
Available via both the Gemini API and Google Vertex AI, with a stable production endpoint at veo-3.1-fast-generate-001.
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Optional URL of an input image to animate.
Optional URL of the last frame of the video.
Provide up to 10 references images of the scene, subject, objects, or anything else in the image.
Description of what to exclude from an image.
A specific value that is used to guide the 'randomness' of the generation.
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Recent daily stories tied to Veo 3.1 Fast through direct model mentions or provider-level coverage.
Hugging Face and Google are pushing more practical AI product shifts.
Google and Qwen move deeper into real workflows.
Mistral and Google move deeper into real workflows.
OpenAI and Google are raising the stakes for enterprise adoption.
Veo 3.1 Fast discussions are most active in r/VEO3, r/GeminiAI, r/GoogleFlowAPI. Top Reddit threads cluster around benchmark and model-comparison threads, coding workflow discussions.
The strongest match in this snapshot has 337 upvotes and 20 comments.
Hi everyone,
I have access to Google AI Ultra and I have a few extra account and slots available if anyone’s interested.
This is $20/month (way cheaper vs official pricing), and it’s a solo account using your own email, not shared, not sketchy logins.
What you get (basically full AI stack):
🎬 Veo 3.1 (AI Video)
– Unlimited Generation using Veo 3.1 Fast
– Super useful for TikTok, ads, content creation
🧠 Gemini 3.1 Pro
– Google’s most advanced AI model right now
– Great for coding, research, scripts, automation
🌀 Antigravity (underrated but crazy powerful)
– Advanced creative AI tools / experimental features
– Helps with next-level content generation & workflows
– If you’re into AI content or automation, this alone is 🔥
📸 Nano Banana Pro (AI Image)
– Unlimited High-quality image generation & edits
🛠 Other tools included:
– NotebookLM
– Flow
– Whisk
✔ Unlimited access
✔ Solo account (not shared)
✔ Uses your own email
✔ 30-day warranty / support
Payment Method: Binance, Paypal, Wise
DM or comment below.
Big picture, I used Nano Banana Pro for the starting frames for each shot and then ran Veo 3.1 fast for the actual videos. NBP is pretty wild and can actually compete with Midjourney when it comes to first frames for cinematic videos.
Here's a quick overview of my process:
Step 1: The Blueprint (Storyboarding) Don't skip this. I use AI to help outline the narrative arc. For the attached video, we decided on 8 distinct scenes. This meant we needed to create 8 specific starting frames to serve as the foundation for the clips.
Step 2: Image Generation (The Volume Strategy) Use AI to direct AI. I used Gemini 3 to write the prompts for my scenes.
* The Hack: I asked for 4 prompt variations for each of the 8 scenes.
* The Tools: I plugged those into Nano Banana Pro
* The Result: I generated \~32 total images, then hand-picked the single best variation for each scene.
Step 3: Animation Take those winning images and run them through an Image-to-Video editor. I’m currently using Veo3.1 Fast. I used Gemini again to generate the motion prompts to ensure the movement matched the vibe.
Step 4: Assembly Dump all your generated clips into CapCut.
Step 5: The "Beat" Edit This is where the magic happens. Pick a music track with a strong beat.
* Pro Tip: Even though Veo gives me an 8-second clip, I often only use 1 or 2 seconds of it.
* Cut on the beat. Transitioning from scene to scene in rhythm with the music gives the video a strong directional feel and keeps the viewer engaged.
The Verdict: It takes a bit of prep, but the results speak for themselves. I’m dropping a full, in-depth video guide on this workflow later this week. Stay tuned!
\----
Here is an example of some of the prompts I used for what became the starting images:
An extreme macro close-up of the Oakley goggle lens worn by the rider. The lens is a vibrant "Prizm" Gold or Orange iridium. The entire surface of the curved glass is filled with a crystal-clear reflection of the massive, apocalyptic dust storm from the previous shots. The reflection is so sharp it acts as a monitor showing the danger ahead. We see the rim of the dusty helmet and the foam of the goggles pressed against her skin.
A low-angle shot of a scorpion hunkered down on a rock. The wind from the previous shot is visibly whipping sand past it at high speed. The scorpion is bracing itself against the gale, tail curled tight. The lighting is dark and moody, emphasizing the harshness of the incoming weather. It shows the environment is becoming unlivable.
A cinematic close-up of a razor-sharp sand dune ridge in the Sahara desert. Golden hour lighting creates a harsh split between bright orange sand and deep shadowed blue sand. Fine grains of sand are being whipped off the crest by the wind, backlit by the sun. Photorealistic, 8k resolution, highly detailed texture, National Geographic style.
Not announced yet, but it's available on Google Flow (https://labs.google/flow/about).
The two available options are Veo 3.1 Fast and Veo 3.1 Quality.
Was able to generated this video with ingredients to video. So upload images from nano banana (the truck and the jungle environment) and flow adds them together. Physics is very impressive.
It’s… Okay I guess. Looks nothing like will smith though, and oversaturated.
I am getting either "This generation might violate our [policies](https://labs.google/tools/flow/faq). Please try a different prompt or send feedback" or "Audio generation failed. Please try a different prompt or send feedback. You have not been charged for this generation" for most things I try (Frame to Video).
The crazy part is I'm using the starter frame Nano Banana made for me. I have been doing these videos for over a year with similar starter frames in this style, 3D animated movie, without issue until yesterday.
It has really shut me down.
Veo 3.1 Fast has a context window of 1,000 tokens, which applies to the text prompt input for video generation requests.
The model is available through both Google's Gemini API and Vertex AI. The stable production endpoint is veo-3.1-fast-generate-001.
The model accepts text prompts, single image URLs, and image URL arrays, along with configuration toggles for aspect ratio, resolution, and duration, plus an optional seed value.
According to the available metadata, the training date for Veo 3.1 Fast is July 2025.
The veo-3.1-fast-generate-001 endpoint is the stable, production-ready release. It replaced the earlier veo-3.1-fast-generate-preview endpoint, which was deprecated in early 2026.
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