Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1
gpt-image-2/api/v1/gpt_image_2/text_to_image
运行信息
模型
gpt-image-2
提供方
OpenAI
服务
Gpt Image 2
Endpoint
Text To Image
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. 重启 Claude Code
3. 粘贴这个 prompt：生成一张图像："Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
}
JSON
import { GptImage2Client } from "@runapi.ai/gpt-image-2";
const client = new GptImage2Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "gpt-image-2",
"prompt": "Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
});
console.log(result.id);
require "runapi/gpt_image_2"
client = RunApi::GptImage2::Client.new
result = client.text_to_image.run(
model: "gpt-image-2",
prompt: "Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"Minimalist luxury watch campaign, oversized wristwatch positioned like modern sculpture, model leaning against the dial, giant word “TIME” in bold typography behind, deep emerald studio background, reflective polished floor, Swiss luxury advertising aesthetic, cinematic editorial styling, ultra-clean composition, 1:1\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/gpt_image_2/text_to_image", body)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
fmt.Println(resp.Status)
}
gpt-image-2/api/v1/gpt_image_2/text_to_image获取 API Key
Low-angle fashion campaign photograph of a confident model holding a large [product name] very close to the camera, exaggerated perspective with the hand and product dominating the foreground, full-body pose visible in the background, wide stance, dynamic posture, clean pure white studio background, high-key lighting, sharp focus on product, slight depth of field on the model, bold colorful outfit with strong contrast tones, modern beauty advertising aesthetic, ultra-clean composition, commercial studio photography, glossy packaging detail visible, crisp shadows
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Low-angle fashion campaign photograph of a confident model holding a large [product name] very close to the camera, exaggerated perspective with the hand and product dominating the foreground, full-body pose visible in the background, wide stance, dynamic posture, clean pure white studio background, high-key lighting, sharp focus on product, slight depth of field on the model, bold colorful outfit with strong contrast tones, modern beauty advertising aesthetic, ultra-clean composition, commercial studio photography, glossy packaging detail visible, crisp shadows"
}
JSON
Create an infographic image of [LANDMARK], combining a real photograph of the landmark with blueprint-style technical annotations and diagrams overlaid on the image. Include the title “[LANDMARK]” in a hand-drawn box in the corner. Add white chalk-style sketches showing key structural data, important measurements, material quantities, internal diagrams, load-flow arrows, cross-sections, floor plans, and notable architectural or engineering features. Style: blueprint aesthetic with white line drawings on the photograph, technical/architectural annotation style, educational infographic feel, with the real environment visible behind the annotations.
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Create an infographic image of [LANDMARK], combining a real photograph of the landmark with blueprint-style technical annotations and diagrams overlaid on the image. Include the title “[LANDMARK]” in a hand-drawn box in the corner. Add white chalk-style sketches showing key structural data, important measurements, material quantities, internal diagrams, load-flow arrows, cross-sections, floor plans, and notable architectural or engineering features. Style: blueprint aesthetic with white line drawings on the photograph, technical/architectural annotation style, educational infographic feel, with the real environment visible behind the annotations."
}
JSON