使用 Sora 生成视频

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10from openai import OpenAI

openai = OpenAI()

video = openai.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

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20package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	video, err := client.Videos.New(context.Background(), openai.VideoNewParams{
		Model:  openai.VideoModelSora2,
		Prompt: "A video of the words 'Thank you' in sparkling letters",
	})
	if err != nil {
		panic(err)
	}
	fmt.Println("Video generation started:", video)
}

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14import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.videos.VideoCreateParams;

var video =
    client
        .videos()
        .create(
            VideoCreateParams.builder()
                .model("sora-2")
                .prompt("A paper airplane flying over a forest")
                .build());

System.out.println(video.id());

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5require "openai"

client = OpenAI::Client.new
video = client.videos.create(model: "sora-2", prompt: "A paper airplane flying over a forest")
puts(video.id)

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7curl -X POST "https://api.openai.com/v1/videos" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F prompt="Wide tracking shot of a teal coupe driving through a desert highway, heat ripples visible, hard sun overhead." \
  -F model="sora-2-pro" \
  -F size="1280x720" \
  -F seconds="8" \

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20import asyncio

from openai import AsyncOpenAI

client = AsyncOpenAI()


async def main() -> None:
    video = await client.videos.create_and_poll(
        model="sora-2",
        prompt="A video of a cat on a motorcycle",
    )

    if video.status == "completed":
        print("Video successfully completed: ", video)
    else:
        print("Video creation failed. Status: ", video.status)


asyncio.run(main())

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24package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	video, err := client.Videos.NewAndPoll(context.Background(), openai.VideoNewParams{
		Model:  openai.VideoModelSora2,
		Prompt: "A video of the words 'Thank you' in sparkling letters",
	}, 2000)
	if err != nil {
		panic(err)
	}
	if video.Status == openai.VideoStatusCompleted {
		fmt.Println("Video successfully completed:", video)
		return
	}
	fmt.Println("Video creation failed. Status:", video.Status)
}

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23import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.videos.Video;
import com.openai.models.videos.VideoCreateParams;

var video =
    client
        .videos()
        .create(
            VideoCreateParams.builder()
                .model("sora-2")
                .prompt("A paper airplane flying over a forest")
                .build());

while (video.status().equals(Video.Status.QUEUED)
    || video.status().equals(Video.Status.IN_PROGRESS)) {
  Thread.sleep(1000);
  video = client.videos().retrieve(video.id());
}
if (!video.status().equals(Video.Status.COMPLETED)) {
  throw new IllegalStateException("Video generation failed: " + video.status());
}
System.out.println("Video completed: " + video.id());

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15require "openai"

client = OpenAI::Client.new
video = client.videos.create(model: "sora-2", prompt: "A paper airplane flying over a forest")

while [:queued, :in_progress].include?(video.status)
  sleep(2)
  video = client.videos.retrieve(video.id)
end

unless video.status == OpenAI::Models::Video::Status::COMPLETED
  raise "Video creation failed. Status: #{video.status}"
end

puts("Video successfully completed: #{video.id}")

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46from openai import OpenAI
import sys
import time


openai = OpenAI()

video = openai.videos.create(
    model="sora-2",
    prompt="A video of a cool cat on a motorcycle in the night",
)

print("Video generation started:", video)

progress = getattr(video, "progress", 0)
bar_length = 30

while video.status in ("in_progress", "queued"):
    # Refresh status
    video = openai.videos.retrieve(video.id)
    progress = getattr(video, "progress", 0)

    filled_length = int((progress / 100) * bar_length)
    bar = "=" * filled_length + "-" * (bar_length - filled_length)
    status_text = "Queued" if video.status == "queued" else "Processing"

    sys.stdout.write(f"\r{status_text}: [{bar}] {progress:.1f}%")
    sys.stdout.flush()
    time.sleep(2)

# Move to next line after progress loop
sys.stdout.write("\n")

if video.status == "failed":
    message = getattr(
        getattr(video, "error", None), "message", "Video generation failed"
    )
    raise RuntimeError(message)

print("Video generation completed:", video)
print("Downloading video content...")

content = openai.videos.download_content(video.id, variant="video")
content.write_to_file("video.mp4")

print("Wrote video.mp4")

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41package main

import (
	"context"
	"fmt"
	"io"
	"os"

	"github.com/openai/openai-go/v3"
)

func main() {
	client := openai.NewClient()
	video, err := client.Videos.NewAndPoll(context.Background(), openai.VideoNewParams{
		Model:  openai.VideoModelSora2,
		Prompt: "A video of the words 'Thank you' in sparkling letters",
	}, 2000)
	if err != nil {
		panic(err)
	}
	if video.Status != openai.VideoStatusCompleted {
		panic(fmt.Errorf("video generation failed with status %s", video.Status))
	}

	response, err := client.Videos.DownloadContent(context.Background(), video.ID, openai.VideoDownloadContentParams{})
	if err != nil {
		panic(err)
	}
	defer response.Body.Close()
	file, err := os.Create("video.mp4")
	if err != nil {
		panic(err)
	}
	if _, err := io.Copy(file, response.Body); err != nil {
		panic(err)
	}
	if err := file.Close(); err != nil {
		panic(err)
	}
	fmt.Println("Wrote video.mp4")
}

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29import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.videos.Video;
import com.openai.models.videos.VideoCreateParams;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.StandardCopyOption;

var video =
    client
        .videos()
        .create(
            VideoCreateParams.builder()
                .model("sora-2")
                .prompt("A video of the words 'Thank you' in sparkling letters")
                .build());

while (video.status().equals(Video.Status.QUEUED)
    || video.status().equals(Video.Status.IN_PROGRESS)) {
  Thread.sleep(1000);
  video = client.videos().retrieve(video.id());
}
if (!video.status().equals(Video.Status.COMPLETED)) {
  throw new IllegalStateException("Video generation failed: " + video.status());
}
try (var content = client.videos().downloadContent(video.id())) {
  Files.copy(content.body(), Path.of("video.mp4"), StandardCopyOption.REPLACE_EXISTING);
}
System.out.println("Wrote video.mp4");

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20require "openai"

client = OpenAI::Client.new
video = client.videos.create(
  model: "sora-2",
  prompt: "A video of the words 'Thank you' in sparkling letters"
)
pending_statuses = [
  OpenAI::Models::Video::Status::QUEUED,
  OpenAI::Models::Video::Status::IN_PROGRESS
]
while pending_statuses.include?(video.status)
  sleep(2)
  video = client.videos.retrieve(video.id)
end
raise "Video generation failed" if video.status == OpenAI::Models::Video::Status::FAILED

content = client.videos.download_content(video.id)
File.binwrite("video.mp4", content.read)
puts("Wrote video.mp4")

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3curl -L "https://api.openai.com/v1/videos/video_abc123/content" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  --output video.mp4