3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses
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："3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
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": "3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
}
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": "3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
});
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: "3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"3D Pixar-style expression sheet, cute stylized avatar with wavy dark hair and round glasses, 3x3 grid layout, peeking through torn paper circles, emotions: wink, sunglasses cool, thinking, happy smile, thumbs up, drinking boba tea, friendly wave, laughing, cute pout, different outfits: green sweater, red jacket, yellow hoodie, striped tee, orange shirt, blue top, purple vest, pink cardigan, teal pullover. Soft cinematic lighting, clean white background, vibrant colors, high detail, adorable cartoon character, playful expressions, consistent character design across all poses\"}")
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