Getting Started with Lynx AI by ByteDance

Prerequisites

Prepare a clear reference image of the subject and a short prompt. If you plan to integrate Lynx into a workflow, ensure your environment can run diffusion transformer inference and basic preprocessing.

System Recommendations

  • • CUDA‑capable GPU recommended
  • • 8GB+ RAM
  • • Storage for model checkpoints
  • • Optional face crop utility for centering

Important

Lynx generates short clips from a single image. Use a sharp portrait and concise prompts for best results.

Basic Workflow

Follow these steps to prepare inputs and run a first generation.

Step 1: Prepare the Reference Image

Use a sharp, well‑lit portrait with minimal occlusions and a centered face.

Step 2: Write a Concise Prompt

Use 20–30 words with concrete descriptors about apparel, lighting, motion, and framing.

Example: “Soft afternoon light, gentle walking pace, shoulder‑level framing, neutral expression, blue jacket, matte texture.”

Step 3: Run Generation

  • • Keep duration short for stability
  • • Use default guidance first
  • • Review identity consistency across frames

Usage Options

Use Lynx AI by ByteDance for local experiments or production workflows.

Local Experiments

Run short tests to check identity stability and prompt following.

Setup Steps:

  1. 1. Prepare reference image and prompt
  2. 2. Use default generation settings
  3. 3. Inspect identity across frames
  4. 4. Adjust prompt specifics if needed

Benefits:

  • • Quick iteration
  • • Full control of inputs
  • • Reproducible tests
  • • Minimal setup

Production Integration

Integrate Lynx generation in pipelines where identity stability matters.

Setup Steps:

  1. 1. Standardize image preprocessing
  2. 2. Fix prompt templates per product
  3. 3. Monitor identity metrics over time
  4. 4. Add human review for sensitive use

Benefits:

  • • Predictable identity fidelity
  • • Clear prompts and outputs
  • • Measurable quality
  • • Reviewable results

Prompt Guidelines

For best results, keep prompts concrete and concise.

Structure

  • • Apparel and color descriptors
  • • Lighting and framing details
  • • Movement and pace cues
  • • Keep length around 20–30 words

Examples

Identity-focused:

“Neutral expression, even indoor light, shoulder framing, small head turn, navy shirt, matte fabric, calm step.”

Environment cue:

“Golden hour tone, slow walk, light background blur, centered subject, tidy hair, soft shadows.”

Troubleshooting

Common Issues

Issue: Identity drift
Solution: Use a sharper reference, simplify the prompt, shorten duration
Issue: Inconsistent lighting
Solution: Add explicit lighting descriptors and keep them consistent
Issue: Prompt not followed
Solution: Use concrete terms and reduce competing goals

Performance Tips

  • • Keep clips short
  • • Ensure a sharp, well‑lit face in the reference image
  • • Use GPU acceleration when available
  • • Monitor memory and adjust settings accordingly

Ready to Generate?

With your first prompt and image prepared, generate a short clip and review identity stability.

HomeLearn More