Text-to-video or image-to-video model. Generates short video clips with configurable duration and resolution.
Key strengths
- Text + image input
- Multiple resolutions
- Duration control
- Motion coherence
Use cases
- Ads and trailers
- Concept videos
- Storyboards
- Social media content
Tencent's tencent/tencent-video-edit-1.0 is a high-fidelity video generation model. It supports text-to-video and image-to-video workflows with configurable duration, aspect ratio, and resolution, plus first-frame and last-frame control for guided scene composition.
Generates cinematic clips with consistent motion, camera control, and optional native audio. Billed per second of generated content.
tencent/tencent-video-edit-1.0 is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.
Performance
Compare different providers across TokenLX · All locations.
Effective Pricing
Pricing is shown by the model billing method, using per-call or per-second prices and resolution tiers.
Recent activity
Total usage per day on TokenLX (last 30 days).
Sample code & API
TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.
# Python — use HTTP client directly
# Endpoint: POST https://api.tokenlx.ai/v1/videos/generations
# Headers: Authorization: Bearer $TOKENLX_API_KEY
# Body: { "model": "tencent-video-edit-1.0", "prompt": "...", "duration": 5 }Replace sk-aihubrouter-… with your key from the dashboard.