AI VIDEO PLATFORM
A production pipeline from photo upload to final video render.
A platform coordinating photo intake, custom-model fine-tuning, cloud GPU generation, storage, multi-clip assembly and final delivery.
Discuss a similar systemThe production challenge
Generation crossed product UI, GPU work, storage and rendering.
The product needed to turn a technically involved, multi-stage generation process into a clear customer journey from photo upload through to final video delivery.
The outcome
A customer-facing production path from source photos to final rendered video.
Customers and operators can see work progress through model processing, GPU generation, stored clips, assembly and final delivery instead of waiting on an opaque long-running process.
Orchestrating long-running model work
Each stage needed visible state, recovery and a useful next action.
- 01
Project creation and photo intake designed around the inputs needed for a personalized video workflow.
- 02
Background orchestration for custom-model fine-tuning, GPU work, generation status, retries and stored assets.
- 03
Video selection, multi-clip assembly, final render delivery and a library for revisiting completed work.
The production path
From source photos to final render.
The sequence shows the production lifecycle while keeping provider-specific and private implementation detail out of the case study.
- 01Photo intake
- 02Model workflow
- 03GPU generation
- 04Stored assets
- 05Clip assembly
- 06Final render
Failure and recovery
Long-running work could not behave like a single request.
- GPU-driven tasks take time and can fail independently of the customer-facing flow.
- Each generation stage needs a clear status, recoverable state and useful next action.
- The product must preserve the relationship between uploaded source material, generated clips and final rendered output.
Making generation state visible
Interfaces that explain what is happening and what comes next.
Technical notes
- Next.js product experience with persistent project state.
- Cloud GPU orchestration, queues, retries and storage.
- Multi-step generation, clip assembly and final video rendering.
Stakxl's role
Stakxl owned the end-to-end platform engineering, including the product interface, workflow orchestration, generation lifecycle and final delivery path.
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