Image Background

Workflow

1. Upload your background image and get a URL.
2. Create job with bg_type=image and bg_image_url.
3. Start and poll status until completed.

Best Practices

• Match output aspect ratio with source video.
• Use high-resolution backgrounds to avoid blur.
• Add light/shadow matching in downstream composition if needed.

Quality Guardrails

• Prefer representative source clips when tuning model defaults.
• Keep input compression moderate to preserve edge details.
• Use explicit output format policy for transparent vs non-transparent workflows.
• Run A/B validation with the same clip set before changing defaults.

Implementation Checklist

1. Define payload schema validation in backend before forwarding requests.
2. Store model/output_format/background settings with each job record.
3. Add internal quality review for difficult scenes (hair, glass, motion blur).
4. Create runbook entries for model-specific failure cases.

Background Image Performance