Getting started

How to Use FLUX 3 AI Video Generator

A practical six-step workflow for turning a clear creative direction into a coherent FLUX 3 video with motion, references, keyframes, and native audio.

01Working methodSteps you can reuse
02Source linksCheck the vendor wording
03Practical notesWhat to test for yourself
01

Choose the right starting mode

Begin with the input that carries the most important creative information. Use text-to-video for a new scene, image-to-video when appearance or composition must start from an approved frame, video-to-video when motion or identity should carry into a new context, and keyframes when specific moments need tighter control.

  • Text for an original scene
  • Image for visual identity and composition
  • Video for motion or character continuity
  • Keyframes for defined transitions
02

Build one readable shot

Write the subject and visible action first, then add the environment and the shot’s purpose. A short generation is easier to direct when it has one central event rather than several unrelated actions. Describe concrete visual evidence—materials, weather, time of day, and spatial relationships—instead of relying only on broad style words.

Example promptA translucent service robot assembles a microchip beneath blue laboratory light, macro close-up, precise mechanical movement, shallow depth of field, restrained reflections.
03

Direct the camera and timing

Specify framing, camera behavior, pace, and the ending. Keep the camera instruction compatible with the subject’s action: a slow push-in supports a reveal, a lateral track follows movement, and a locked frame emphasizes transformation inside the composition. State what must remain stable when continuity matters.

  • Framing: wide, medium, close-up, macro
  • Movement: push-in, tracking, orbit, pullback
  • Pace: restrained, real-time, rapid, time-lapse
  • Ending: define the final visual beat
04

Use references with a clear role

FLUX 3 can mix text with image and video references. Assign each reference a job: one image may define the character, another the product materials, while a clip demonstrates movement or camera rhythm. Explaining the role of every asset gives the model a clearer hierarchy than uploading several references without direction.

Example promptKeep the character identity from reference image 1, use the brushed titanium material from reference image 2, and follow the slow clockwise camera orbit shown in reference video 1.
05

Design motion with native audio

FLUX 3 generates video with native audio and supports multilingual dialogue. Describe sound as part of the same event: connect an impact to its mechanical sound, dialogue to the speaker, and ambience to the location. Use only the audio details that improve the scene’s cause, mood, or timing.

  • Name the sound source
  • Keep dialogue concise
  • Match effects to visible actions
  • Use ambience to establish place
06

Review continuity and extend

Review the complete clip rather than judging a single frame. Check subject identity, object geometry, motion speed, camera logic, typography, audio synchronization, and the final composition. Preserve the strongest decisions and change one major variable at a time. FLUX 3 also supports video-and-audio continuation and agentic chaining for longer, multi-shot sequences.

  • Check the first and final frame
  • Watch for identity and material drift
  • Confirm that sound follows the visible event
  • Carry stable references into the next shot
Sources

Primary references

Product capabilities on this page are based on first-party documentation. Creative recommendations are our editorial interpretation.

Black Forest Labs — FLUX 3 official announcement and capabilitiesBlack Forest Labs — Official FLUX prompting guide
DETAILED FRAMEWORK

A production-ready working method

Define the deliverable

State where the output will appear, its format, audience and the one idea it must communicate. A social clip, storyboard, product frame and campaign asset need different precision. Clear acceptance criteria stop the prompt becoming a list of unrelated wishes and make review more objective.

Choose the strongest input

Use text for a new scene, an image for identity or composition, keyframes for defined moments and reference video for motion or camera language. Choose the input that contains the hardest information to describe. Extra references only help when each asset has a clear purpose.

Structure the brief

Draft subject, action, environment, composition, camera, light, materials, style, sound and ending separately. Convert those fields into direct natural sentences. Put the most important requirement early. Remove decorative adjectives that do not describe visible or audible evidence.

Assign reference roles

Prepare clean source assets and explain what each should control. One image can define identity, another material, and a clip can define rhythm. State which elements must remain stable and which may change. When sources conflict, establish a priority instead of asking the model to guess.

Control composition

Describe subject position, viewpoint and how much environment is visible. For video, match camera movement to the action and define the pace and final beat. For images, use lens or layout language only when it supports the design purpose. Too many competing camera instructions reduce clarity.

Plan sound with the scene

Connect dialogue, effects and ambience to visible causes. Identify the speaker and keep lines appropriate for the duration. Review timing, pronunciation and continuity. If audio will be replaced in post-production, focus generation effort on visual decisions instead of repeatedly refining temporary sound.

Review systematically

Check prompt adherence before aesthetics. Then inspect identity, anatomy, geometry, typography, materials, motion, camera, sound and the ending. Watch video at normal speed and inspect key frames separately. Record the failure category so the next revision addresses a specific problem.

Revise one variable

Preserve successful instructions and correct one major weakness at a time. Adjust motion without replacing the location, or change lighting without rewriting identity. Controlled iteration reduces drift and reveals cause and effect. Save prompt versions, settings and references beside selected outputs.

Check continuity

For a sequence, repeat stable identity, wardrobe, product, location and lighting descriptions. Compare the end of one clip with the beginning of the next. Review screen direction, camera height, ambience and temporal logic. Continuation helps, but every join still needs human approval.

Verify final details

Confirm names, numbers, claims, logos, packaging and text outside the model. Make sure uploaded references can be used and the result follows destination-platform rules. Apply color, captions, sound and compression for delivery. Preserve the original generation and its inputs for traceable corrections.

Track real cost

Measure the number of attempts needed for an approved result, not only the advertised cost of one generation. Include discarded outputs, extensions, external editing and review time. Availability, queues and rate limits also affect production. Prices on this site are service prices, not direct vendor API prices.

Keep evidence current

Official documentation supports statements about named inputs, output limits and features. It does not guarantee identical quality for every prompt. Record the date and model version of important tests. Early-access products change, so repeat critical checks before a campaign or major purchase.

Prepare source files

Use clean, high-quality references without unrelated overlays or heavy compression. Crop assets so important identity, geometry and style information is visible. Keep originals separate from working files, use descriptive filenames and record which source was used. Careful preparation reduces ambiguity and supports repeatable tests.

Set priorities explicitly

Separate requirements into must keep, should keep and flexible. Identity, product shape or required copy may be non-negotiable, while background detail or color variation may be open to interpretation. Put priorities in the prompt and evaluation sheet. This prevents attractive secondary details from hiding failure on the main objective.

Design shorter test cases

Before generating a complex final scene, isolate difficult requirements. Test identity with simple motion, typography in a stable frame, or dialogue in a close shot. Small tests reveal whether an approach is viable without paying for repeated full compositions. Combine controls only after their individual behavior is understood.

Document failure patterns

Create categories such as identity drift, anatomy, geometry, camera, timing, text, sound and policy rejection. Record which failures repeat across attempts and which respond to prompt changes. Patterns are more informative than a vague quality score. They also help a team decide whether to revise, use another mode or switch tools.

Use human review gates

Assign explicit approval points for the brief, references, first output, revisions and final delivery. Different reviewers may own factual accuracy, brand consistency, legal risk and creative quality. A generation should not move forward merely because it looks polished. Review gates keep errors from becoming more expensive later in the workflow.

Plan accessibility

Provide meaningful alt text for published images and captions or transcripts for video where appropriate. Check contrast and readability when generated text is part of a design. Do not rely on audio alone to communicate essential information. Accessibility work belongs in the production brief rather than being added only after an asset is approved.

Protect sensitive material

Avoid uploading confidential, personal or restricted references unless the service terms and project policy allow it. Remove unnecessary metadata and obtain permission for identifiable people and protected assets. Generated content can still create privacy, likeness and intellectual-property concerns. Treat source governance as part of creative preparation.

Test delivery formats

Review the asset after the crop, resize and compression used by the destination. Fine text, faces and rapid motion can change noticeably on social platforms or small screens. Export a representative draft early. A result that works in a large preview may need different framing, pacing or typography for the final placement.

Create a reusable template

Turn successful briefs into templates with fields for goal, subject, action, references, camera, light, sound, ending, exclusions and approval criteria. Keep examples of good inputs and common failures beside the template. Reuse the structure, not the exact creative content, so new tasks benefit from previous learning without becoming repetitive.

Know when to stop iterating

Set a maximum number of attempts or a credit budget before starting. Stop when the output meets the defined criteria, when improvements become marginal, or when repeated failures indicate that another workflow is needed. Unlimited revision can cost more than external editing or a simpler production method. A stopping rule makes experimentation accountable.

Record reproducibility data

Store the complete prompt, mode, duration, resolution, aspect ratio, reference order and generation date with every shortlisted output. Note any external edits separately. Reproducibility does not mean a stochastic model will return identical pixels, but it gives the next operator the same starting conditions and makes meaningful comparison possible.

Plan team handoff

Summarize the creative goal, locked elements, flexible elements, rejected directions and remaining risks when work moves between people. Include links to approved references and the latest prompt. A concise handoff prevents a new operator from repeating failed experiments or unintentionally removing constraints that protected identity, geometry or brand consistency.

Maintain version labels

Use simple version names for prompts, references and outputs, and never overwrite the approved source file. Connect each revision to a reason such as camera correction, text correction or audio timing. Version labels make stakeholder feedback precise and allow the team to return to the last stable result when a later experiment introduces new problems.

Review after publication

Check the asset in its real destination after publishing. Confirm that platform cropping, autoplay, captions, compression and volume behave as expected. Record audience or stakeholder feedback that reveals a production issue. A short post-publication review improves the next brief and turns one generation task into durable operational knowledge.

Update the workflow

When a model, interface or pricing rule changes, revise templates and checklists instead of relying on memory. Remove instructions that no longer help and document new controls with a dated test. A maintained workflow keeps long-form guidance accurate and prevents teams from repeating advice that belonged to an older model or access tier. Review this process before every important production cycle.