XGen - Video Generation Platform
2025•Case Study
Scalable text-to-video and image-to-video pipeline optimized for realism and reproducibility.
The Challenge
- Existing pipelines struggle with realism and temporal consistency
- Scaling content production requires reproducible workflows
The Solution
ComfyUI-based DAG workflows running on GPU providers
Open-source models with LoRAs, VAEs, ControlNet conditioning
Storage and delivery optimized for scale
Impact
Demonstrated commercial viability of AI video generation at scale
Technical
Implementation Details
Wan 2.1 models, ComfyUI DAG export for reproducibility, GPU providers (Modal, Runpod), Backblaze B2 storage, Bunny CDN delivery, observability for inference time and errors.