The first product video can be built by hand. The fifth becomes frustrating when you are copying prompts, finding the correct reference, and repeating the same export decisions. An LTX Studio Flows workflow is useful when it preserves those decisions while allowing the campaign-specific parts to change.
Download the workflow dependency map · Approve a visual reference in Image Lab
Feature information checked September 17, 2026. The desk-lamp campaign is an original workflow design, not a measured LTX execution or cost benchmark. The hero is an AI-generated editorial illustration.
What a reusable Flows graph should preserve
LTX’s official Flows introduction describes connected nodes for text, images, video, audio, and processing. Nodes can be added with the plus control or a right-click, connected through compatible ports, and run as a workflow. Prompt and image iterators support variations. The useful idea is that an output becomes a defined input to the next step.
Do not start by connecting everything available. A reusable graph should preserve a small set of choices: which product reference is approved, what the scene should communicate, when to add movement, and which output deserves further processing. A graph that generates twenty unreviewed assets faster can increase your review burden rather than reduce it.
Separate the campaign brief from the production rules
Imagine a fictional maker selling a green desk lamp. This month the campaign is about a quiet reading corner. Next month it is about a compact home office. The setting changes; the lamp’s shade, stem, base, and proportions should not. Write those two groups of information separately.
| Reusable rule | Campaign input | Approval question |
|---|---|---|
| Use the approved lamp reference | Reading corner or home office | Is this still the same product? |
| Leave clear space beside the lamp | Placement of later campaign copy | Does the crop leave usable room? |
| Use one restrained camera move | Slow push or short lateral drift | Does movement reveal invented geometry? |
| Review before final processing | Selected output and delivery dimensions | Is this asset worth finishing? |
Keep offer text outside the generative image until it is verified and typeset. That avoids rebuilding a visual every time a price or date changes. It also prevents an image-generation step from becoming the accidental source of product claims.
Build a single path that you can explain
A useful first design is reference input plus scene brief, followed by image generation, then video generation, then optional finishing. The exact node names and available models depend on the current workspace. Select compatible ports rather than assuming any output can connect directly to any input.
The still review is an editorial checkpoint in this proposed process, not a claim that every Flows graph has a built-in approval button. Run or isolate the image stage, inspect its output, and feed the accepted result into the video stage. If your setup runs all connected descendants at once, split the experiment into stages before expanding it.
Start with one reference, one prompt, and one output. Confirm that the reference reaches the intended generation step and that the next step consumes the correct image. A disconnected or stale input can produce plausible results while defeating the reason you built the workflow.
Use a brief with variables that have a reason to change
For the office version, change the setting and its supporting objects. Keep the product identity and empty-space rule. Avoid changing the setting, framing, camera move, color palette, and output ratio simultaneously: if the next asset fails, you will not know which decision broke it.
Give files descriptive names such as lamp-reading-still-approved and lamp-office-motion-review. A filename should distinguish approved material from experiments. The graph captures a process; your source record explains which result the campaign actually uses.
Calculate branch counts before adding iterators
Suppose you combine two scene briefs, three reference photographs, and two video variations for every resulting image. If each brief is paired with each reference and each image gets both variations, the plan creates 2 × 3 × 2 = 12 video outputs. That is before retries, extra image candidates, audio, or upscaling.
This multiplication describes a proposed full-combination design. An actual node may pair inputs differently; inspect its configuration and outputs. Do not infer the number of jobs from how compact the graph looks. A single iterator can conceal a large batch.
A cheaper editorial design is to generate the still candidates first, approve one per setting, and then make two video variations from each approved image. That produces four planned videos rather than twelve. It reduces choices because you removed weak inputs before the more expensive stage, not because the same work became free.
Estimate cost as the sum of planned runs at each stage multiplied by the quote shown for that stage. Keep retry and finishing allowances separate. Quotes vary by model, length, resolution, and account, so a fixed dollar promise would be misleading.
Understand the consequences of changing one node
LTX describes caching unchanged work and rerunning downstream nodes when their inputs change. Use that as a dependency model, not a blanket cost guarantee. Before rerunning, identify the changed node and every connected descendant that depends on it. A new source photograph can affect image generation, video, and final processing; a delivery-only change may have a narrower effect.
| Change | Likely affected work | Review again |
|---|---|---|
| Replace the product reference | All generation depending on that reference | Product identity and composition |
| Revise the motion instruction | Video and its downstream processing | Geometry throughout the move |
| Change a shared scene rule | Every branch using that rule | Both campaigns, not just the visible branch |
| Select a different approved image | The motion derived from that image | Input filename and final output pairing |
Save a copy of a working design before restructuring connections. Review shared inputs carefully: an innocent correction to a common prompt may alter several deliverables. Reuse is valuable precisely because changes propagate; that also makes incorrect shared instructions more consequential.
Test reuse with a second brief
A graph is not proven reusable because it ran once. Try the home-office brief using the same product rules. Check whether the lamp remains recognizable, whether the office props compete with it, and whether the empty area still works in the intended crop. Record any instruction that depended accidentally on the reading-corner example.
Remove instructions that no longer serve the second brief. “A book beside the lamp” belongs to a particular scene; “keep the base fully visible” may belong to the reusable product rule. That distinction turns a saved experiment into a practical production template.
To prepare the visual input, explore a composition in QuestStudio Image Lab and approve the product details before exporting. Build the Flows graph separately in LTX Studio. For the broader handoff between visual, motion, and audio stages, use the guide to chaining creative models.
Frequently asked questions
Should I automate every step immediately?
No. Establish one reliable path and a review point first. Add branches only when they remove repeated work without producing more material than you can inspect.
Does caching mean a rerun is free?
No. Unchanged results may be reused, but changed dependencies can trigger new work. Inspect the planned run and displayed costs in your current workspace.
Is the approval checkpoint a specific Flows feature?
Here it is an editorial procedure: approve the still before using it for motion. Implement it by separating or controlling the stages available in your setup.
What should remain fixed across campaign variants?
Preserve the product’s identifying details and the delivery requirements. Let the setting and supporting art direction change only where the brief calls for it.