AI video generation for prompts, references, and review.
Video Lab helps creators plan source clips, reference images, V2V edits, R2V outputs, and content insertion in a guided generation workflow before provider-backed rendering starts.
Workflow
Prompt and reference video generation
Editing modes
V2V · R2V · references · content insertion
Setup avoided
Online generation workflow with no local GPU setup
Video Lab is an independent AI video workflow service with content safety screening and clear billing boundaries.
Collect the prompt, reference images, source clip, and target placeholder before a video generation run.
Convert the request into an online edit plan: what changes, what stays fixed, and which reference matters.
Prepare a renderer-ready generation case for queueing, review, and download.
source video
video plan
edited video
Online video workflows
A guided generation layer for prompts, references, and content safety.
Video Lab turns model demand into a practical video generation workspace: structured inputs, transparent limits, editor-focused use cases, safety screening, and routes into provider-backed generation.
AI video generation briefs
Turn a rough idea into a structured generation case with prompt, source video, reference media, task type, and output expectations.
V2V and reference-guided video generation
Package prompt video editing, local object changes, content insertion, restyling, and V2V editing into a reviewable online workflow.
Reference-guided video generation
Use reference images for products, characters, clothes, style, or weather so the video generation workflow has clear visual guidance.
Online alternative to local setup
Explain when an online workflow is faster than managing local GPU queues, model weights, and handoff files.
How it works
From prompt to online video workflow.
The Video Lab path should feel concrete before inference starts: choose the editing mode, add references, review the plan, then route the job to generation, manual review, or a provider queue.
Choose the video workflow
Start with text-to-video, video-to-video, reference-to-video, or content insertion so the AI video generation flow matches the job.
Add prompts and references
Upload the source clip and reference images, then write a prompt that names the edit and the areas that must stay unchanged.
Generate, review, and reuse
Each online result becomes a reusable prompt case for future video generator runs, editor jobs, and tutorial content.
AI video pricing
Nine paid credit plans for AI video generation.
Choose one-time packs, monthly plans, or annual plans across three tiers. Credits are paid-only so every AI video job is covered by the right provider cost.
Starter Pack
For a small prompt test batch before scaling production.
- 60 AI video credits, valid for 90 days
- Credit cost shown before every generation
- Text-to-video and image-to-video workflows
Creator Pack
One-time credits for testing references and first paid video workflows.
- 180 AI video credits, valid for 90 days
- Task history, R2 storage, and video downloads
- Tracked provider model updates
- Private project workspace
Studio Pack
A larger one-time pack for production experiments and client drafts.
- 600 AI video credits, valid for 180 days
- Priority review queue
- Priority support
- API access when the public API opens
Generation usage and refund contact
Every plan includes paid generation credits for AI video jobs. The estimated cost is shown before generation, and prompts must pass the content safety check before a job is submitted.
Prompts are screened before generation. Blocked or flagged requests do not enter the model and do not consume credits.
If the provider fails, cancels, or returns no usable result, the credit return path is triggered. For payment refunds or billing questions, email support.
Search questions
AI Video Workflow FAQ
Clear answers about AI video generation, credits, provider workflow, content safety, and account boundaries.
Start with a safer AI video generation workflow.
Plan the prompt, pick the editing mode, add references, pass content safety screening, and move from model curiosity to a repeatable video generation process.