Bytedance Seedance V1 Pro Text To Video API

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/bytedance/seedance/v1/pro/text-to-video",
    arguments={
        "prompt": "A bright blue race car speeds along a snowy racetrack. [Low-angle shot] Captures several cars speeding along the racetrack through a harsh snowstorm. [Overhead shot] The camera gradually pulls upward, revealing the full race scene illuminated by storm lights"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/bytedance/seedance/v1/pro/text-to-video", {
  input: {
      prompt: "A bright blue race car speeds along a snowy racetrack. [Low-angle shot] Captures several cars speeding along the racetrack through a harsh snowstorm. [Overhead shot] The camera gradually pulls upward, revealing the full race scene illuminated by storm lights"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/bytedance/seedance/v1/pro/text-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "A bright blue race car speeds along a snowy racetrack. [Low-angle shot] Captures several cars speeding along the racetrack through a harsh snowstorm. [Overhead shot] The camera gradually pulls upward, revealing the full race scene illuminated by storm lights"
}'