FLUX 3 Video

FLUX 3 Video is Black Forest Labs' multimodal foundation model for video generation with synchronized audio. It generates 5 to 20 second clips across text-to-video, image-to-video, and video-to-video modes on one architecture, with keyframe control to pin what appears on screen, subject identity carried across scenes from image or video references, chained continuations for longer arcs, multi-shot sequences with hard cuts inside one generation, and native multilingual dialogue. A draft mode returns fast low-resolution previews together with a cache that a follow-up call enhances at full quality, tightening iteration loops. Style range spans candid camcorder footage, animation, motion design, and cinematic photoreal, character consistency holds across scenes, and in-video typography renders cleanly for titles and animated designs.

Complete technical specification for integration
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: videoInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLVideo output type.
Allowed values1 value
outputFormat
stringdefault: MP4Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `MP4`: Widely supported video container (H.264), recommended for general use.
- `WEBM`: Optimized for web delivery.
- `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringuriSpecifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: asyncDetermines how the API delivers task results.
Allowed values1 value
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringuriSpecifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for video generation.
Properties2 properties
safety»checkContentcheckContent
booleanEnable or disable content safety checking. Increases total generation time.
safety»modemode
stringdefault: fastSafety checking mode for video generation.
Allowed values2 values
- Checks key frames.
- Checks all frames.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
numberResults
integermin: 1max: 4default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.inputs»referenceImagesreferenceImages
array of stringsmin items: 1max items: 10List of reference images (UUID, URL, Data URI, or Base64).
inputs»frameImagesframeImages
array of strings or objectsmin items: 1max items: 10An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target position in the video.
The
frameImagesparameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. Position can be specified usingframe(named positions or frame indices) ortimestamp(seconds), depending on model support. This is different fromreferenceImages, which provide overall visual guidance without constraining specific timeline positions.When the
frameparameter is omitted, automatic distribution rules apply:- 1 image: Used as the first frame.
- 2 images: First and last frames.
- 3+ images: First and last frames, with intermediate images evenly spaced between.
Examples4 examples
Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.
"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402" ]Object format: When you need to specify a position, use an object with
imageand eitherframeortimestamp(model-dependent).First and last frames: With two images, they automatically become the first and last frames of the video sequence. You can mix shorthand and object formats."frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" } ]Multiple frames: With three or more images, the first and last are anchored while intermediate frames are evenly distributed across the timeline."frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402", { "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe", "frame": "last" } ]"frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" }, "c00abf5f-6cdb-4642-a01d-1bfff7bc3cf7", { "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe", "frame": "last" } ]Format 1: string[]
Image input (UUID, URL, Data URI, or Base64).
Format 2: object[]2 properties
inputs»videovideo
stringVideo input (UUID or URL). Source video for extension.
inputs»referenceVideosreferenceVideos
array of stringsitems: 1List of reference videos (UUID, URL).
inputs»draftCachedraftCache
stringDraft cache bundle from a previous draft mode generation (URL or Base64). Provide this to produce full quality output from an approved draft preview.
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: bfl:flux@3-videoIdentifier of the model to use for generation.
Learn more3 resources
positivePrompt
stringrequired*Text prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts
Width of the generated media in pixels.
Learn more2 resources
Height of the generated media in pixels.
Learn more2 resources
resolution
stringdefault: 720pResolution preset for the output. When used with input media, automatically matches the aspect ratio from the input.
Allowed values2 values
duration
integer | stringdefault: autoLength of the generated video in seconds. The total number of frames produced is determined by duration multiplied by the model's frame rate (fps).
Allowed values1 value
seed
integermin: 0max: 4294967295Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»audioaudio
booleandefault: trueGenerate synchronized audio.
settings»draftdraft
booleanEnable draft mode for rapid iteration. Generates a fast preview. Use the returned draft cache with
inputs.draftCacheto produce full quality output from an approved draft.
settings»searchsearch
booleandefault: trueWhen enabled, the model performs a short research pass before generating. Ignored in draft mode.