Seedance API image to video: first frame, last frame and reference images

curl https://kreatorflow.ai/v1/videos \ -H "Authorization: Bearer $KREATORFLOW_API_KEY" \ -H "Content-Type: application/json" \ -H "Idempotency-Key: i2v-first-frame-0001" \ -d '{ "model": "kreator-video-seedance-2", "prompt": "The camera slowly pushes in. Waves roll against the rocks and the lighthouse beam sweeps across the sea.", "first_frame_url": "https://example.com/lighthouse.jpg", "duration": 5, "aspect_ratio": "adaptive", "resolution": "720p", "generate_audio": true }'

{ "model": "kreator-video-seedance-2", "prompt": "Time-lapse from day to night: the sky darkens, the city lights switch on one by one, the camera holds still.", "first_frame_url": "https://example.com/skyline-day.jpg", "last_frame_url": "https://example.com/skyline-night.jpg", "duration": 8, "aspect_ratio": "16:9", "resolution": "1080p" }

{ "model": "kreator-video-seedance-2", "prompt": "The sneaker from the reference images spins slowly on a wet concrete floor under a neon sign, reflections on the ground, close product shot.", "reference_image_urls": [ "https://example.com/sneaker-side.jpg", "https://example.com/sneaker-top.jpg", "https://example.com/sneaker-sole.jpg" ], "duration": 5, "aspect_ratio": "9:16", "resolution": "720p" }

import { readFile, writeFile } from "node:fs/promises"; const KEY = process.env.KREATORFLOW_API_KEY; const BASE = "https://kreatorflow.ai/v1"; const auth = { Authorization: `Bearer ${KEY}` }; const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms)); // 1. Upload a local image and get an upload_id. async function uploadImage(path, mimeType = "image/jpeg") { const bytes = await readFile(path); const start = await fetch(`${BASE}/uploads`, { method: "POST", headers: { ...auth, "Content-Type": "application/json" }, body: JSON.stringify({ file_name: path.split("/").pop(), mime_type: mimeType, file_size: bytes.length }), }).then((r) => r.json()); if (!start.success) throw new Error(`${start.code}: ${start.error}`); const { upload_id, direct_upload_url, direct_upload_headers } = start.data; const put = await fetch(direct_upload_url, { method: "PUT", headers: direct_upload_headers, body: bytes }); if (!put.ok) throw new Error(`upload failed: ${put.status}`); const done = await fetch(`${BASE}/uploads/complete`, { method: "POST", headers: { ...auth, "Content-Type": "application/json" }, body: JSON.stringify({ upload_id }), }).then((r) => r.json()); if (!done.success) throw new Error(`${done.code}: ${done.error}`); return upload_id; } // 2. Animate it: the image becomes the first frame. async function imageToVideo(path, prompt) { const uploadId = await uploadImage(path); const created = await fetch(`${BASE}/videos`, { method: "POST", headers: { ...auth, "Content-Type": "application/json", "Idempotency-Key": crypto.randomUUID() }, body: JSON.stringify({ model: "kreator-video-seedance-2", prompt, first_frame_upload_id: uploadId, duration: 5, aspect_ratio: "adaptive", resolution: "720p" }), }).then((r) => r.json()); if (!created.success) throw new Error(`${created.code}: ${created.error}`); // 3. Poll until the job is final (or use webhook_url instead). let job = created.data.job; while (!["completed", "failed", "canceled", "blocked"].includes(job.status)) { await sleep(10000); const res = await fetch(`${BASE}/jobs/${job.id}`, { headers: auth }); if (res.status === 429) { await sleep(Number(res.headers.get("Retry-After") ?? 5) * 1000); continue; } job = (await res.json()).data.job; } if (job.status !== "completed") throw new Error(job.errorCode ?? job.status); const file = await fetch(`${BASE}/jobs/${job.id}/output`, { headers: auth }); await writeFile("clip.mp4", Buffer.from(await file.arrayBuffer())); } await imageToVideo("./product.jpg", "The camera orbits the product slowly while soft light moves across it.");

import os, time, uuid, requests KEY = os.environ["KREATORFLOW_API_KEY"] BASE = "https://kreatorflow.ai/v1" H = {"Authorization": f"Bearer {KEY}"} def upload_image(path, mime_type="image/jpeg"): data = open(path, "rb").read() start = requests.post(f"{BASE}/uploads", headers=H, json={ "file_name": os.path.basename(path), "mime_type": mime_type, "file_size": len(data), }).json()["data"] requests.put(start["direct_upload_url"], headers=start["direct_upload_headers"], data=data).raise_for_status() requests.post(f"{BASE}/uploads/complete", headers=H, json={"upload_id": start["upload_id"]}).raise_for_status() return start["upload_id"] first = upload_image("day.jpg") last = upload_image("night.jpg") job = requests.post(f"{BASE}/videos", headers={**H, "Idempotency-Key": str(uuid.uuid4())}, json={ "model": "kreator-video-seedance-2", "prompt": "Day turns to night, the city lights switch on, the camera holds still.", "first_frame_upload_id": first, "last_frame_upload_id": last, "duration": 5, "aspect_ratio": "16:9", "resolution": "720p", }).json()["data"]["job"] while job["status"] not in ("completed", "failed", "canceled", "blocked"): time.sleep(10) job = requests.get(f"{BASE}/jobs/{job['id']}", headers=H).json()["data"]["job"] if job["status"] == "completed": clip = requests.get(f"{BASE}/jobs/{job['id']}/output", headers=H) open("day-to-night.mp4", "wb").write(clip.content)