Bfl FLUX 3 Video Generation Pipeline Setup (Delivery)

Bfl FLUX 3 Video Generation Pipeline Setup (Delivery)

1. 01

   Create a Black Forest Labs account and generate API keys for FLUX 3

   Navigate to the API console, select the FLUX 3 model, and copy the API key. Store it in your agency's secret manager for secure access.

2. 02

   Review the API documentation for endpoint structure and rate limits

   Identify the text-to-video and image-to-video endpoints. Note the maximum output duration of 20 seconds per clip and the per-second pricing tiers to estimate client costs.

3. 03

   Configure the client workflow template in your project management tool

   Define a standard operating procedure for collecting text prompts, reference images, and keyframes. Include fields for desired aspect ratio and style diversity to match client brand guidelines.

4. 04

   Set up a pilot project with a single client to validate the pipeline

   Generate a test video using the API, measure output quality and turnaround time. Adjust prompt templates and parameter settings based on the results.

5. 05

   Integrate FLUX 3 API into your delivery stack using the provided SDKs

   Use the Python or Node.js client libraries to automate video generation. Implement error handling for rate limits and retry logic for failed requests.

6. 06

   Create a pricing calculator for client quotes based on per-second output

   Factor in the $0.06/second draft rate for text-to-video and $0.53/second for full-quality video-to-video. Add your agency's markup and delivery overhead to set profitable rates.

7. 07

   Document the client approval workflow for generated videos

   Establish a review process where clients can request edits using the video-to-video transformation feature. Include keyframe control for precise adjustments.

8. 08

   Train your delivery team on FLUX 3's capabilities and limitations

   Cover multilingual dialogue synthesis, action prediction, and the current early access status for video. Emphasize that image and action prediction features are planned but not yet available.