Wan 2.2 Text-to-Video
Text-to-video with Wan 2.2 — generate a short clip directly from a prompt, no source image.
Workflow id: wan22_t2v · Text → Video
Calling it
POST /api/video/generate
{
"workflow": "wan22_t2v",
"prompt": "..."
}Params
Every input this workflow takes. Your install is the source of truth:GET /api/workflows/wan22_t2v returns these as they are on your machine.
prompt· str · required
Text prompt: subject, setting, and action. Describe big physical action with strong verbs (walks, jumps, turns). Words like subtle, slowly, or gently produce a near-still clip.negative_prompt· str · defaultbright colors, overexposed, static, blurred detailswidth· int · default640height· int · default640length· int · default81
Frame countfps· int · default16seed· int · optional
Optional. Leave it out and every run is a new random take. Send a seed only to remake an image exactly: the seed a job used is in its record.steps_high· int · default2steps_low· int · default2total_steps· int · default4
steps_high + steps_low; passed to KSamplerAdvanced.stepscfg_high· float · default1cfg_low· float · default1shift· float · default5sampler· str · defaulteulerscheduler· str · defaultsimplehigh_model· str · defaultwan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
High-noise UNet modellow_model· str · defaultwan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
Low-noise UNet modelvae· str · defaultWan2.1_VAE.safetensorsclip· str · defaultumt5_xxl_fp8_e4m3fn_scaled.safetensorslightx2v_high_lora· str · defaultwan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensorslightx2v_low_lora· str · defaultwan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensorslightx2v_high_strength· float · default1lightx2v_low_strength· float · default1