Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the "pages" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold "Origin Date." 2. Middle: A vertical "Ingredient Blueprint" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed "Origin Map" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm "internal" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>
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："Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the "pages" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold "Origin Date." 2. Middle: A vertical "Ingredient Blueprint" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed "Origin Map" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm "internal" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the "pages" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold "Origin Date." 2. Middle: A vertical "Ingredient Blueprint" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed "Origin Map" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm "internal" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the "pages" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold "Origin Date." 2. Middle: A vertical "Ingredient Blueprint" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed "Origin Map" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm "internal" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the "pages" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold "Origin Date." 2. Middle: A vertical "Ingredient Blueprint" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed "Origin Map" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm "internal" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
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": "Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the \"pages\" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold \"Origin Date.\" 2. Middle: A vertical \"Ingredient Blueprint\" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed \"Origin Map\" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm \"internal\" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
}
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": "Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the \"pages\" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold \"Origin Date.\" 2. Middle: A vertical \"Ingredient Blueprint\" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed \"Origin Map\" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm \"internal\" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
});
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: "Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the \"pages\" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold \"Origin Date.\" 2. Middle: A vertical \"Ingredient Blueprint\" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed \"Origin Map\" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm \"internal\" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"Do this for Pineapple Pizza: <instruction> Input A: user uploads an image or shares name of dish Logic Identify the historical inventor (e.g., Raffaele Esposito or Henri Charpentier) and the exact year of origin. Task: A hyper-realistic 4:5 macro photograph of an oversized, open antique culinary codex resting on a dark velvet museum plinth. Left Page (The Living Diorama): The left side of the book is hollowed out like a secret compartment. Inside is a breathtaking 3D miniature scene. A highly detailed figurine of the dish’s inventor is captured mid-motion in a period-accurate kitchen. Around them are microscopic versions of the 10-15 key ingredients, each in its own tiny hand-blown glass vial or micro-wooden crate. Include miniature brass cooking tools specific to the era. The scene is lit from within the \\\"pages\\\" by a warm, magical amber glow. Right Page (The Technical Recipe): The right page is flat, aged parchment featuring elegant, faded Spencerian calligraphy and hand-painted watercolor illustrations. 1. Top: The dish name in both English and its native language, with the bold \\\"Origin Date.\\\" 2. Middle: A vertical \\\"Ingredient Blueprint\\\" with hyper-detailed sketches of each raw component. 3. Bottom: A small, detailed \\\"Origin Map\\\" showing the specific city of birth, styled like a 19th-century cartographic inset. 4. Text: Visible, legible recipe steps written in ink that looks slightly raised on the paper. Style: Museum specimen photography. 85mm macro lens. The lighting should be a mix of cool gallery spotlights and the warm \\\"internal\\\" glow of the book's diorama. Extreme texture on the weathered leather binding and the tooth of the paper. Output: ONE image, 4:5 aspect ratio. </instruction>\"}")
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