by Qwen
Wanxiang 2.7 — video editing: edit videos using natural-language commands, supporting local or global edits; can use reference images to replace video elements; supports replicating video actions, special effects, camera movements, and other dynamic processes.
Wanxiang 2.7 — video editing: edit videos using natural-language commands, supporting local or global edits; can use reference images to replace video elements; supports replicating video actions, special effects, camera movements, and other dynamic processes.
On AIHubMix, wan2.7-videoedit costs $2 per million input tokens.
wan2.7-videoedit accepts text and video input.
wan2.7-videoedit is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to wan2.7-videoedit — no other code changes needed.
wan2.7-videoedit is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in…
qwen-audio-3.0-tts-flash is a high-performance speech synthesis large model optimized for…
qwen-audio-3.0-tts-plus is a high-performance speech synthesis large model designed for…
HappyHorse-1.1-I2V supports image-to-video generation, further enhancing visual texture…
HappyHorse-1.1-R2V supports reference-based video generation, further improving the…
HappyHorse-1.1-T2V supports text-to-video generation, further enhancing text semantic…
Use wan2.7-videoedit via the AIHubMix unified API — one interface for every major LLM.