Bytedance Dreamina V3.1 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/dreamina/v3.1/text-to-image",
    arguments={
        "prompt": "A 25-year-old korean woman selfie, front facing camera, lighting is soft and natural. If background is visible, it's a clean, modern apartment interior. The clothing color is clearly visible and distinct, adding a hint of color contrast"
    },
    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/dreamina/v3.1/text-to-image", {
  input: {
      prompt: "A 25-year-old korean woman selfie, front facing camera, lighting is soft and natural. If background is visible, it's a clean, modern apartment interior. The clothing color is clearly visible and distinct, adding a hint of color contrast"
    },
  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/dreamina/v3.1/text-to-image \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "A 25-year-old korean woman selfie, front facing camera, lighting is soft and natural. If background is visible, it'\''s a clean, modern apartment interior. The clothing color is clearly visible and distinct, adding a hint of color contrast"
}'