Capabilities · Last updated July 11, 2026
Video generation
for AI agents.
Text to video.
Image to video.
AnyCap gives agents one command surface for text-to-video, image-to-video, model discovery, and generated video delivery. Instead of hard-wiring one provider API into every agent, teams can let Claude Code, Codex, Cursor, and other agents choose a video model, generate the clip, inspect the result, and publish or share it from the same workflow.
A video API exposes a model.
An agent workflow carries the result forward.
AnyCap turns model access into agent action.
Pick one model, wire one API, rebuild the workflow.
One CLI, multiple video models, agent-ready outputs.
The short answer
Use AnyCap when an agent must create, edit, review, and route video output through one CLI. Choose a mode and model from the live catalog, then keep the returned result in the same workflow.
01
Text-to-video, image-to-video, and edit-video use one command surface.
02
Live catalog modes and credit estimates stay visible before an agent chooses.
03
Featured decisions explain both best fit and the practical trade-off.
04
Returned clips stay available for review, delivery, and the next agent step.
Start from the input you actually have
text-to-video
Text brief
Start from a written scene, subject, motion, camera, and output brief.
Not appropriate when an exact source frame must be preserved.
image-to-video
Reference image
Animate a prepared still while using the prompt to direct motion and camera behavior.
Requires a supported model and a prepared source still.
edit-video
Existing footage
Refine a source clip with instructions instead of generating a new clip from scratch.
Available only when the selected live model exposes that mode.
Choose the right video model at runtime
Existing-footage editing
Gemini Omni Flash Preview
Use it when the agent starts with an existing clip and needs natural-language video edits, refinements, or review loops without leaving the AnyCap workflow.
Open model guide →Newer Seedance default
Seedance 2.0
Use it when the agent needs a modern default for product clips, social motion, and image-to-video drafts without leaving the AnyCap workflow.
Open model guide →Cinematic motion
Kling 3.0
Use it when the brief depends on camera movement, character motion, or exploratory image-to-video iteration.
Open model guide →Premium first pass
Veo 3.1
Use it when the first pass needs to feel more polished from a text brief, especially for branded teasers and concept clips.
Open model guide →Four featured model decisions
| Model | Modes | Cost | Best fit | Trade-off |
|---|---|---|---|---|
| Gemini Omni Flash Preview | edit-video | Varies by catalog pricing | Use it when the agent starts with an existing clip and needs natural-language video edits, refinements, or review loops without leaving the AnyCap workflow. | It edits existing footage only; use a generation model for a new clip. |
| Seedance 2.0 | text-to-video, image-to-video | Varies by catalog pricing | Use it when the agent needs a modern default for product clips, social motion, and image-to-video drafts without leaving the AnyCap workflow. | Choose the Fast variant when turnaround matters more than peak quality. |
| Kling 3.0 | text-to-video, image-to-video | ~9 credits / second | Use it when the brief depends on camera movement, character motion, or exploratory image-to-video iteration. | Choose a lower-cost or faster model when preview speed matters more than cinematic motion. |
| Veo 3.1 | text-to-video, image-to-video | ~20 credits / second | Use it when the first pass needs to feel more polished from a text brief, especially for branded teasers and concept clips. | Choose Veo 3.1 Fast when iteration speed matters more than maximum polish. |
Generation time varies by model, queue state, duration, and settings. The CLI waits for server-side completion and returns the result when the command finishes; no fixed latency is promised.
CLI usage
Run anycap video models for the full live inventory, then inspect the selected model schema before supplying local references. These examples show the current command shape for each input path.
Text-to-video
anycap video generate --prompt "a drone shot flying over a mountain range at sunset" --model veo-3.1 -o hero.mp4
Image-to-video
anycap video generate --prompt "animate this still into a subtle camera move" --model seedance-1.5-pro --mode image-to-video --param images=./frame.jpg -o animated.mp4
Edit existing video
anycap video generate --prompt "brighten the lighting and add a subtle slow zoom" --model gemini-omni-flash-preview --mode edit-video --param videos=./source.mp4 -o refined.mp4
Discover models
anycap video models
The useful unit is the whole agent loop: inspect live capability, choose a supported mode, generate or edit, review the returned clip, and deliver it without switching integration surfaces.
When agents need video generation
Launch and demo clips
Turn product briefs, changelog notes, or storyboard prompts into short launch clips from the agent session.
Reference frame to motion
Animate design stills, screenshots, generated images, or product frames without changing providers or auth flows.
Agent-led social content
Generate short-form clips for campaigns, creator workflows, and product announcements, then hand off the asset through Drive or Page.
Video workflow prototyping
Test model fit, prompt structure, duration, aspect ratio, and reference-image behavior before building a deeper integration.
Workflow fit signals
Best fit
Agents that need repeatable video creation or editing inside coding, research, or content workflows.
Not a fit
Teams that only need a consumer editor with a manual, timeline-first interface.
Operational check
The agent can inspect the live model schema, retain request context, and handle delivery separately from generation.
What common failures mean
The selected model does not expose the requested mode
Run anycap video models <model-id> schema --operation generate --mode <mode> and choose a mode the live model declares.
A local reference is missing or uses the wrong schema key
Inspect the live schema and use --param images=... or --param videos=... only when that parameter is declared.
The automatic download fails after generation
Generation may already have succeeded, but the CLI reports the automatic-download error before the normal result. Do not assume a URL or request ID was returned. Fix the local path or connection, retain trace_id for support, and rerun deliberately because another clip may be created.
The output does not match the brief
Review the clip, tighten motion, camera, and subject instructions, then retry without claiming deterministic frames.
Continue the agent workflow
Agent page
Video workflows for Codex
See how Codex discovers capabilities, runs AnyCap commands, and carries structured results forward.
Related capability
Video analysis
Inspect a generated or source clip before the next edit, delivery, or publishing step.
Implementation guide
Add video generation to an AI agent
Follow the schema-first flow from model discovery through generation, result handling, and retries.
FAQ
What does AnyCap video generation let agents do?
It gives agents one command surface for text-to-video, image-to-video, model discovery, generated asset handling, and downstream sharing. Teams can generate new clips, animate reference images, and keep video creation inside the same agent workflow.
Which video models are available through AnyCap today?
Run anycap video models for the full live inventory. This page highlights four useful decisions, but availability, modes, schemas, and catalog pricing remain authoritative in the CLI.
Why highlight Gemini Omni Flash Preview on a video generation page?
The current AnyCap catalog exposes Gemini Omni Flash Preview as an edit-video model. Use it after an agent has a source clip to refine, and choose a text-to-video or image-to-video model when the workflow needs a new clip.
Why does this page include image-to-video as well as text-to-video?
Agent workflows often start from a screenshot, design frame, or product still rather than a prompt alone. AnyCap treats both text-to-video and image-to-video as one video generation capability so the workflow stays consistent.
Is this page about a video generation API or a CLI workflow?
It covers both the video generation capability and the CLI workflow agents use to operate it. AnyCap provides model discovery, live schemas, generation commands, and result delivery through one CLI-first surface over multiple video models.
Why use AnyCap instead of wiring one video provider directly?
A direct provider integration can work when the agent always uses one model. AnyCap is better when the agent needs model choice, shared auth, CLI execution, video review, file handling, and a path to publish or share outputs without rebuilding every workflow per provider.
Next steps
Let your agent generate the clip.
Start with the CLI, choose a live model and supported mode at runtime, then keep generation, review, and delivery in the same agent workflow.