PROMPT 详情

{ "global_settings": { "resolution": "8K", "aspect...

图像 Food & Drink gpt-image-2 
{ "global_settings": { "resolution": "8K", "aspect_ratio": "3:4", "image_quality": "ultra-high definition", "sharpness": "extreme", "lighting_quality": "studio-grade cinematic lighting", "render_style": "hyper-realistic AI-edited food photography", "noise": "none", "text_or_logos": "none", "focus": "tack-sharp foreground with controlled depth" }, "Module_1_Image_1_Style": { "subject": "two grilled tortilla wraps", "composition": { "main_action": "wraps floating above a bowl of sauce", "orientation": "one wrap stacked diagonally over another", "perspective": "slightly low-angle, centered composition" }, "food_details": { "wrap_texture": "lightly grilled tortilla with golden brown char spots", "filling_visible": [ "diced cooked chicken", "golden french fries", "green peas" ], "sauce": { "type": "thick creamy white sauce", "motion": "large splash forming curved arcs", "bowl_material": "ceramic", "bowl_color": "light beige" } }, "motion_elements": [ "suspended sauce droplets", "floating parsley leaves" ], "background": { "color": "dark warm brown gradient", "texture": "smooth, studio backdrop" }, "surface": "wooden tabletop visible at bottom", "mood": "dynamic, indulgent, dramatic food motion" }, "Module_2_Image_2_Style": { "subject": "potato chips in a bowl", "composition": { "main_action": "chips flying upward above the bowl", "distribution": "evenly spaced mid-air chips forming a vertical cascade", "camera_position": "eye-level close-up" }, "food_details": { "chips_texture": "thin, crispy, lightly curved", "chips_color": "golden yellow with seasoning speckles", "bowl": { "material": "ceramic", "color": "warm orange", "fill_state": "bowl partially filled with chips" } }, "seasoning_elements": [ "fine spice dust", "small crumbs", "rosemary sprigs floating" ], "background": { "color": "warm orange gradient", "lighting": "soft diffused with highlights on chips" }, "ground_details": [ "scattered crumbs", "spice particles", "rosemary pieces" ], "mood": "energetic, crunchy, commercial snack photography" }, "Module_3_Image_3_Style": { "subject": "beef noodle soup in a bowl", "composition": { "main_action": "bowl floating in mid-air", "camera_angle": "slightly elevated front angle", "framing": "centered with wide negative space" }, "food_details": { "bowl_color": "dark matte black", "broth": "clear brown liquid", "noodles": "white flat noodles", "protein": "thin slices of raw or lightly cooked beef", "herbs": [ "green basil leaves" ] }, "floating_elements": [ "basil leaves", "chili slices", "garlic cloves", "herb fragments" ], "steam": { "visibility": "clearly visible", "shape": "soft swirling trails", "opacity": "semi-transparent" }, "background": { "color": "soft teal gradient", "texture": "clean studio backdrop" }, "mood": "fresh, aromatic, premium culinary presentation" },
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："{ "global_settings": { "resolution": "8K", "aspect_ratio": "3:4", "image_quality": "ultra-high definition", "sharpness": "extreme", "lighting_quality": "studio-grade cinematic lighting", "render_style": "hyper-realistic AI-edited food photography", "noise": "none", "text_or_logos": "none", "focus": "tack-sharp foreground with controlled depth" }, "Module_1_Image_1_Style": { "subject": "two grilled tortilla wraps", "composition": { "main_action": "wraps floating above a bowl of sauce", "orientation": "one wrap stacked diagonally over another", "perspective": "slightly low-angle, centered composition" }, "food_details": { "wrap_texture": "lightly grilled tortilla with golden brown char spots", "filling_visible": [ "diced cooked chicken", "golden french fries", "green peas" ], "sauce": { "type": "thick creamy white sauce", "motion": "large splash forming curved arcs", "bowl_material": "ceramic", "bowl_color": "light beige" } }, "motion_elements": [ "suspended sauce droplets", "floating parsley leaves" ], "background": { "color": "dark warm brown gradient", "texture": "smooth, studio backdrop" }, "surface": "wooden tabletop visible at bottom", "mood": "dynamic, indulgent, dramatic food motion" }, "Module_2_Image_2_Style": { "subject": "potato chips in a bowl", "composition": { "main_action": "chips flying upward above the bowl", "distribution": "evenly spaced mid-air chips forming a vertical cascade", "camera_position": "eye-level close-up" }, "food_details": { "chips_texture": "thin, crispy, lightly curved", "chips_color": "golden yellow with seasoning speckles", "bowl": { "material": "ceramic", "color": "warm orange", "fill_state": "bowl partially filled with chips" } }, "seasoning_elements": [ "fine spice dust", "small crumbs", "rosemary sprigs floating" ], "background": { "color": "warm orange gradient", "lighting": "soft diffused with highlights on chips" }, "ground_details": [ "scattered crumbs", "spice particles", "rosemary pieces" ], "mood": "energetic, crunchy, commercial snack photography" }, "Module_3_Image_3_Style": { "subject": "beef noodle soup in a bowl", "composition": { "main_action": "bowl floating in mid-air", "camera_angle": "slightly elevated front angle", "framing": "centered with wide negative space" }, "food_details": { "bowl_color": "dark matte black", "broth": "clear brown liquid", "noodles": "white flat noodles", "protein": "thin slices of raw or lightly cooked beef", "herbs": [ "green basil leaves" ] }, "floating_elements": [ "basil leaves", "chili slices", "garlic cloves", "herb fragments" ], "steam": { "visibility": "clearly visible", "shape": "soft swirling trails", "opacity": "semi-transparent" }, "background": { "color": "soft teal gradient", "texture": "clean studio backdrop" }, "mood": "fresh, aromatic, premium culinary presentation" },"
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："{ "global_settings": { "resolution": "8K", "aspect_ratio": "3:4", "image_quality": "ultra-high definition", "sharpness": "extreme", "lighting_quality": "studio-grade cinematic lighting", "render_style": "hyper-realistic AI-edited food photography", "noise": "none", "text_or_logos": "none", "focus": "tack-sharp foreground with controlled depth" }, "Module_1_Image_1_Style": { "subject": "two grilled tortilla wraps", "composition": { "main_action": "wraps floating above a bowl of sauce", "orientation": "one wrap stacked diagonally over another", "perspective": "slightly low-angle, centered composition" }, "food_details": { "wrap_texture": "lightly grilled tortilla with golden brown char spots", "filling_visible": [ "diced cooked chicken", "golden french fries", "green peas" ], "sauce": { "type": "thick creamy white sauce", "motion": "large splash forming curved arcs", "bowl_material": "ceramic", "bowl_color": "light beige" } }, "motion_elements": [ "suspended sauce droplets", "floating parsley leaves" ], "background": { "color": "dark warm brown gradient", "texture": "smooth, studio backdrop" }, "surface": "wooden tabletop visible at bottom", "mood": "dynamic, indulgent, dramatic food motion" }, "Module_2_Image_2_Style": { "subject": "potato chips in a bowl", "composition": { "main_action": "chips flying upward above the bowl", "distribution": "evenly spaced mid-air chips forming a vertical cascade", "camera_position": "eye-level close-up" }, "food_details": { "chips_texture": "thin, crispy, lightly curved", "chips_color": "golden yellow with seasoning speckles", "bowl": { "material": "ceramic", "color": "warm orange", "fill_state": "bowl partially filled with chips" } }, "seasoning_elements": [ "fine spice dust", "small crumbs", "rosemary sprigs floating" ], "background": { "color": "warm orange gradient", "lighting": "soft diffused with highlights on chips" }, "ground_details": [ "scattered crumbs", "spice particles", "rosemary pieces" ], "mood": "energetic, crunchy, commercial snack photography" }, "Module_3_Image_3_Style": { "subject": "beef noodle soup in a bowl", "composition": { "main_action": "bowl floating in mid-air", "camera_angle": "slightly elevated front angle", "framing": "centered with wide negative space" }, "food_details": { "bowl_color": "dark matte black", "broth": "clear brown liquid", "noodles": "white flat noodles", "protein": "thin slices of raw or lightly cooked beef", "herbs": [ "green basil leaves" ] }, "floating_elements": [ "basil leaves", "chili slices", "garlic cloves", "herb fragments" ], "steam": { "visibility": "clearly visible", "shape": "soft swirling trails", "opacity": "semi-transparent" }, "background": { "color": "soft teal gradient", "texture": "clean studio backdrop" }, "mood": "fresh, aromatic, premium culinary presentation" },"
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："{ "global_settings": { "resolution": "8K", "aspect_ratio": "3:4", "image_quality": "ultra-high definition", "sharpness": "extreme", "lighting_quality": "studio-grade cinematic lighting", "render_style": "hyper-realistic AI-edited food photography", "noise": "none", "text_or_logos": "none", "focus": "tack-sharp foreground with controlled depth" }, "Module_1_Image_1_Style": { "subject": "two grilled tortilla wraps", "composition": { "main_action": "wraps floating above a bowl of sauce", "orientation": "one wrap stacked diagonally over another", "perspective": "slightly low-angle, centered composition" }, "food_details": { "wrap_texture": "lightly grilled tortilla with golden brown char spots", "filling_visible": [ "diced cooked chicken", "golden french fries", "green peas" ], "sauce": { "type": "thick creamy white sauce", "motion": "large splash forming curved arcs", "bowl_material": "ceramic", "bowl_color": "light beige" } }, "motion_elements": [ "suspended sauce droplets", "floating parsley leaves" ], "background": { "color": "dark warm brown gradient", "texture": "smooth, studio backdrop" }, "surface": "wooden tabletop visible at bottom", "mood": "dynamic, indulgent, dramatic food motion" }, "Module_2_Image_2_Style": { "subject": "potato chips in a bowl", "composition": { "main_action": "chips flying upward above the bowl", "distribution": "evenly spaced mid-air chips forming a vertical cascade", "camera_position": "eye-level close-up" }, "food_details": { "chips_texture": "thin, crispy, lightly curved", "chips_color": "golden yellow with seasoning speckles", "bowl": { "material": "ceramic", "color": "warm orange", "fill_state": "bowl partially filled with chips" } }, "seasoning_elements": [ "fine spice dust", "small crumbs", "rosemary sprigs floating" ], "background": { "color": "warm orange gradient", "lighting": "soft diffused with highlights on chips" }, "ground_details": [ "scattered crumbs", "spice particles", "rosemary pieces" ], "mood": "energetic, crunchy, commercial snack photography" }, "Module_3_Image_3_Style": { "subject": "beef noodle soup in a bowl", "composition": { "main_action": "bowl floating in mid-air", "camera_angle": "slightly elevated front angle", "framing": "centered with wide negative space" }, "food_details": { "bowl_color": "dark matte black", "broth": "clear brown liquid", "noodles": "white flat noodles", "protein": "thin slices of raw or lightly cooked beef", "herbs": [ "green basil leaves" ] }, "floating_elements": [ "basil leaves", "chili slices", "garlic cloves", "herb fragments" ], "steam": { "visibility": "clearly visible", "shape": "soft swirling trails", "opacity": "semi-transparent" }, "background": { "color": "soft teal gradient", "texture": "clean studio backdrop" }, "mood": "fresh, aromatic, premium culinary presentation" },"
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："{ "global_settings": { "resolution": "8K", "aspect_ratio": "3:4", "image_quality": "ultra-high definition", "sharpness": "extreme", "lighting_quality": "studio-grade cinematic lighting", "render_style": "hyper-realistic AI-edited food photography", "noise": "none", "text_or_logos": "none", "focus": "tack-sharp foreground with controlled depth" }, "Module_1_Image_1_Style": { "subject": "two grilled tortilla wraps", "composition": { "main_action": "wraps floating above a bowl of sauce", "orientation": "one wrap stacked diagonally over another", "perspective": "slightly low-angle, centered composition" }, "food_details": { "wrap_texture": "lightly grilled tortilla with golden brown char spots", "filling_visible": [ "diced cooked chicken", "golden french fries", "green peas" ], "sauce": { "type": "thick creamy white sauce", "motion": "large splash forming curved arcs", "bowl_material": "ceramic", "bowl_color": "light beige" } }, "motion_elements": [ "suspended sauce droplets", "floating parsley leaves" ], "background": { "color": "dark warm brown gradient", "texture": "smooth, studio backdrop" }, "surface": "wooden tabletop visible at bottom", "mood": "dynamic, indulgent, dramatic food motion" }, "Module_2_Image_2_Style": { "subject": "potato chips in a bowl", "composition": { "main_action": "chips flying upward above the bowl", "distribution": "evenly spaced mid-air chips forming a vertical cascade", "camera_position": "eye-level close-up" }, "food_details": { "chips_texture": "thin, crispy, lightly curved", "chips_color": "golden yellow with seasoning speckles", "bowl": { "material": "ceramic", "color": "warm orange", "fill_state": "bowl partially filled with chips" } }, "seasoning_elements": [ "fine spice dust", "small crumbs", "rosemary sprigs floating" ], "background": { "color": "warm orange gradient", "lighting": "soft diffused with highlights on chips" }, "ground_details": [ "scattered crumbs", "spice particles", "rosemary pieces" ], "mood": "energetic, crunchy, commercial snack photography" }, "Module_3_Image_3_Style": { "subject": "beef noodle soup in a bowl", "composition": { "main_action": "bowl floating in mid-air", "camera_angle": "slightly elevated front angle", "framing": "centered with wide negative space" }, "food_details": { "bowl_color": "dark matte black", "broth": "clear brown liquid", "noodles": "white flat noodles", "protein": "thin slices of raw or lightly cooked beef", "herbs": [ "green basil leaves" ] }, "floating_elements": [ "basil leaves", "chili slices", "garlic cloves", "herb fragments" ], "steam": { "visibility": "clearly visible", "shape": "soft swirling trails", "opacity": "semi-transparent" }, "background": { "color": "soft teal gradient", "texture": "clean studio backdrop" }, "mood": "fresh, aromatic, premium culinary presentation" },"
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": "{ \"global_settings\": { \"resolution\": \"8K\", \"aspect_ratio\": \"3:4\", \"image_quality\": \"ultra-high definition\", \"sharpness\": \"extreme\", \"lighting_quality\": \"studio-grade cinematic lighting\", \"render_style\": \"hyper-realistic AI-edited food photography\", \"noise\": \"none\", \"text_or_logos\": \"none\", \"focus\": \"tack-sharp foreground with controlled depth\" }, \"Module_1_Image_1_Style\": { \"subject\": \"two grilled tortilla wraps\", \"composition\": { \"main_action\": \"wraps floating above a bowl of sauce\", \"orientation\": \"one wrap stacked diagonally over another\", \"perspective\": \"slightly low-angle, centered composition\" }, \"food_details\": { \"wrap_texture\": \"lightly grilled tortilla with golden brown char spots\", \"filling_visible\": [ \"diced cooked chicken\", \"golden french fries\", \"green peas\" ], \"sauce\": { \"type\": \"thick creamy white sauce\", \"motion\": \"large splash forming curved arcs\", \"bowl_material\": \"ceramic\", \"bowl_color\": \"light beige\" } }, \"motion_elements\": [ \"suspended sauce droplets\", \"floating parsley leaves\" ], \"background\": { \"color\": \"dark warm brown gradient\", \"texture\": \"smooth, studio backdrop\" }, \"surface\": \"wooden tabletop visible at bottom\", \"mood\": \"dynamic, indulgent, dramatic food motion\" }, \"Module_2_Image_2_Style\": { \"subject\": \"potato chips in a bowl\", \"composition\": { \"main_action\": \"chips flying upward above the bowl\", \"distribution\": \"evenly spaced mid-air chips forming a vertical cascade\", \"camera_position\": \"eye-level close-up\" }, \"food_details\": { \"chips_texture\": \"thin, crispy, lightly curved\", \"chips_color\": \"golden yellow with seasoning speckles\", \"bowl\": { \"material\": \"ceramic\", \"color\": \"warm orange\", \"fill_state\": \"bowl partially filled with chips\" } }, \"seasoning_elements\": [ \"fine spice dust\", \"small crumbs\", \"rosemary sprigs floating\" ], \"background\": { \"color\": \"warm orange gradient\", \"lighting\": \"soft diffused with highlights on chips\" }, \"ground_details\": [ \"scattered crumbs\", \"spice particles\", \"rosemary pieces\" ], \"mood\": \"energetic, crunchy, commercial snack photography\" }, \"Module_3_Image_3_Style\": { \"subject\": \"beef noodle soup in a bowl\", \"composition\": { \"main_action\": \"bowl floating in mid-air\", \"camera_angle\": \"slightly elevated front angle\", \"framing\": \"centered with wide negative space\" }, \"food_details\": { \"bowl_color\": \"dark matte black\", \"broth\": \"clear brown liquid\", \"noodles\": \"white flat noodles\", \"protein\": \"thin slices of raw or lightly cooked beef\", \"herbs\": [ \"green basil leaves\" ] }, \"floating_elements\": [ \"basil leaves\", \"chili slices\", \"garlic cloves\", \"herb fragments\" ], \"steam\": { \"visibility\": \"clearly visible\", \"shape\": \"soft swirling trails\", \"opacity\": \"semi-transparent\" }, \"background\": { \"color\": \"soft teal gradient\", \"texture\": \"clean studio backdrop\" }, \"mood\": \"fresh, aromatic, premium culinary presentation\" },"
}
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": "{ \"global_settings\": { \"resolution\": \"8K\", \"aspect_ratio\": \"3:4\", \"image_quality\": \"ultra-high definition\", \"sharpness\": \"extreme\", \"lighting_quality\": \"studio-grade cinematic lighting\", \"render_style\": \"hyper-realistic AI-edited food photography\", \"noise\": \"none\", \"text_or_logos\": \"none\", \"focus\": \"tack-sharp foreground with controlled depth\" }, \"Module_1_Image_1_Style\": { \"subject\": \"two grilled tortilla wraps\", \"composition\": { \"main_action\": \"wraps floating above a bowl of sauce\", \"orientation\": \"one wrap stacked diagonally over another\", \"perspective\": \"slightly low-angle, centered composition\" }, \"food_details\": { \"wrap_texture\": \"lightly grilled tortilla with golden brown char spots\", \"filling_visible\": [ \"diced cooked chicken\", \"golden french fries\", \"green peas\" ], \"sauce\": { \"type\": \"thick creamy white sauce\", \"motion\": \"large splash forming curved arcs\", \"bowl_material\": \"ceramic\", \"bowl_color\": \"light beige\" } }, \"motion_elements\": [ \"suspended sauce droplets\", \"floating parsley leaves\" ], \"background\": { \"color\": \"dark warm brown gradient\", \"texture\": \"smooth, studio backdrop\" }, \"surface\": \"wooden tabletop visible at bottom\", \"mood\": \"dynamic, indulgent, dramatic food motion\" }, \"Module_2_Image_2_Style\": { \"subject\": \"potato chips in a bowl\", \"composition\": { \"main_action\": \"chips flying upward above the bowl\", \"distribution\": \"evenly spaced mid-air chips forming a vertical cascade\", \"camera_position\": \"eye-level close-up\" }, \"food_details\": { \"chips_texture\": \"thin, crispy, lightly curved\", \"chips_color\": \"golden yellow with seasoning speckles\", \"bowl\": { \"material\": \"ceramic\", \"color\": \"warm orange\", \"fill_state\": \"bowl partially filled with chips\" } }, \"seasoning_elements\": [ \"fine spice dust\", \"small crumbs\", \"rosemary sprigs floating\" ], \"background\": { \"color\": \"warm orange gradient\", \"lighting\": \"soft diffused with highlights on chips\" }, \"ground_details\": [ \"scattered crumbs\", \"spice particles\", \"rosemary pieces\" ], \"mood\": \"energetic, crunchy, commercial snack photography\" }, \"Module_3_Image_3_Style\": { \"subject\": \"beef noodle soup in a bowl\", \"composition\": { \"main_action\": \"bowl floating in mid-air\", \"camera_angle\": \"slightly elevated front angle\", \"framing\": \"centered with wide negative space\" }, \"food_details\": { \"bowl_color\": \"dark matte black\", \"broth\": \"clear brown liquid\", \"noodles\": \"white flat noodles\", \"protein\": \"thin slices of raw or lightly cooked beef\", \"herbs\": [ \"green basil leaves\" ] }, \"floating_elements\": [ \"basil leaves\", \"chili slices\", \"garlic cloves\", \"herb fragments\" ], \"steam\": { \"visibility\": \"clearly visible\", \"shape\": \"soft swirling trails\", \"opacity\": \"semi-transparent\" }, \"background\": { \"color\": \"soft teal gradient\", \"texture\": \"clean studio backdrop\" }, \"mood\": \"fresh, aromatic, premium culinary presentation\" },"
});
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: "{ \"global_settings\": { \"resolution\": \"8K\", \"aspect_ratio\": \"3:4\", \"image_quality\": \"ultra-high definition\", \"sharpness\": \"extreme\", \"lighting_quality\": \"studio-grade cinematic lighting\", \"render_style\": \"hyper-realistic AI-edited food photography\", \"noise\": \"none\", \"text_or_logos\": \"none\", \"focus\": \"tack-sharp foreground with controlled depth\" }, \"Module_1_Image_1_Style\": { \"subject\": \"two grilled tortilla wraps\", \"composition\": { \"main_action\": \"wraps floating above a bowl of sauce\", \"orientation\": \"one wrap stacked diagonally over another\", \"perspective\": \"slightly low-angle, centered composition\" }, \"food_details\": { \"wrap_texture\": \"lightly grilled tortilla with golden brown char spots\", \"filling_visible\": [ \"diced cooked chicken\", \"golden french fries\", \"green peas\" ], \"sauce\": { \"type\": \"thick creamy white sauce\", \"motion\": \"large splash forming curved arcs\", \"bowl_material\": \"ceramic\", \"bowl_color\": \"light beige\" } }, \"motion_elements\": [ \"suspended sauce droplets\", \"floating parsley leaves\" ], \"background\": { \"color\": \"dark warm brown gradient\", \"texture\": \"smooth, studio backdrop\" }, \"surface\": \"wooden tabletop visible at bottom\", \"mood\": \"dynamic, indulgent, dramatic food motion\" }, \"Module_2_Image_2_Style\": { \"subject\": \"potato chips in a bowl\", \"composition\": { \"main_action\": \"chips flying upward above the bowl\", \"distribution\": \"evenly spaced mid-air chips forming a vertical cascade\", \"camera_position\": \"eye-level close-up\" }, \"food_details\": { \"chips_texture\": \"thin, crispy, lightly curved\", \"chips_color\": \"golden yellow with seasoning speckles\", \"bowl\": { \"material\": \"ceramic\", \"color\": \"warm orange\", \"fill_state\": \"bowl partially filled with chips\" } }, \"seasoning_elements\": [ \"fine spice dust\", \"small crumbs\", \"rosemary sprigs floating\" ], \"background\": { \"color\": \"warm orange gradient\", \"lighting\": \"soft diffused with highlights on chips\" }, \"ground_details\": [ \"scattered crumbs\", \"spice particles\", \"rosemary pieces\" ], \"mood\": \"energetic, crunchy, commercial snack photography\" }, \"Module_3_Image_3_Style\": { \"subject\": \"beef noodle soup in a bowl\", \"composition\": { \"main_action\": \"bowl floating in mid-air\", \"camera_angle\": \"slightly elevated front angle\", \"framing\": \"centered with wide negative space\" }, \"food_details\": { \"bowl_color\": \"dark matte black\", \"broth\": \"clear brown liquid\", \"noodles\": \"white flat noodles\", \"protein\": \"thin slices of raw or lightly cooked beef\", \"herbs\": [ \"green basil leaves\" ] }, \"floating_elements\": [ \"basil leaves\", \"chili slices\", \"garlic cloves\", \"herb fragments\" ], \"steam\": { \"visibility\": \"clearly visible\", \"shape\": \"soft swirling trails\", \"opacity\": \"semi-transparent\" }, \"background\": { \"color\": \"soft teal gradient\", \"texture\": \"clean studio backdrop\" }, \"mood\": \"fresh, aromatic, premium culinary presentation\" },"
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"{ \\\"global_settings\\\": { \\\"resolution\\\": \\\"8K\\\", \\\"aspect_ratio\\\": \\\"3:4\\\", \\\"image_quality\\\": \\\"ultra-high definition\\\", \\\"sharpness\\\": \\\"extreme\\\", \\\"lighting_quality\\\": \\\"studio-grade cinematic lighting\\\", \\\"render_style\\\": \\\"hyper-realistic AI-edited food photography\\\", \\\"noise\\\": \\\"none\\\", \\\"text_or_logos\\\": \\\"none\\\", \\\"focus\\\": \\\"tack-sharp foreground with controlled depth\\\" }, \\\"Module_1_Image_1_Style\\\": { \\\"subject\\\": \\\"two grilled tortilla wraps\\\", \\\"composition\\\": { \\\"main_action\\\": \\\"wraps floating above a bowl of sauce\\\", \\\"orientation\\\": \\\"one wrap stacked diagonally over another\\\", \\\"perspective\\\": \\\"slightly low-angle, centered composition\\\" }, \\\"food_details\\\": { \\\"wrap_texture\\\": \\\"lightly grilled tortilla with golden brown char spots\\\", \\\"filling_visible\\\": [ \\\"diced cooked chicken\\\", \\\"golden french fries\\\", \\\"green peas\\\" ], \\\"sauce\\\": { \\\"type\\\": \\\"thick creamy white sauce\\\", \\\"motion\\\": \\\"large splash forming curved arcs\\\", \\\"bowl_material\\\": \\\"ceramic\\\", \\\"bowl_color\\\": \\\"light beige\\\" } }, \\\"motion_elements\\\": [ \\\"suspended sauce droplets\\\", \\\"floating parsley leaves\\\" ], \\\"background\\\": { \\\"color\\\": \\\"dark warm brown gradient\\\", \\\"texture\\\": \\\"smooth, studio backdrop\\\" }, \\\"surface\\\": \\\"wooden tabletop visible at bottom\\\", \\\"mood\\\": \\\"dynamic, indulgent, dramatic food motion\\\" }, \\\"Module_2_Image_2_Style\\\": { \\\"subject\\\": \\\"potato chips in a bowl\\\", \\\"composition\\\": { \\\"main_action\\\": \\\"chips flying upward above the bowl\\\", \\\"distribution\\\": \\\"evenly spaced mid-air chips forming a vertical cascade\\\", \\\"camera_position\\\": \\\"eye-level close-up\\\" }, \\\"food_details\\\": { \\\"chips_texture\\\": \\\"thin, crispy, lightly curved\\\", \\\"chips_color\\\": \\\"golden yellow with seasoning speckles\\\", \\\"bowl\\\": { \\\"material\\\": \\\"ceramic\\\", \\\"color\\\": \\\"warm orange\\\", \\\"fill_state\\\": \\\"bowl partially filled with chips\\\" } }, \\\"seasoning_elements\\\": [ \\\"fine spice dust\\\", \\\"small crumbs\\\", \\\"rosemary sprigs floating\\\" ], \\\"background\\\": { \\\"color\\\": \\\"warm orange gradient\\\", \\\"lighting\\\": \\\"soft diffused with highlights on chips\\\" }, \\\"ground_details\\\": [ \\\"scattered crumbs\\\", \\\"spice particles\\\", \\\"rosemary pieces\\\" ], \\\"mood\\\": \\\"energetic, crunchy, commercial snack photography\\\" }, \\\"Module_3_Image_3_Style\\\": { \\\"subject\\\": \\\"beef noodle soup in a bowl\\\", \\\"composition\\\": { \\\"main_action\\\": \\\"bowl floating in mid-air\\\", \\\"camera_angle\\\": \\\"slightly elevated front angle\\\", \\\"framing\\\": \\\"centered with wide negative space\\\" }, \\\"food_details\\\": { \\\"bowl_color\\\": \\\"dark matte black\\\", \\\"broth\\\": \\\"clear brown liquid\\\", \\\"noodles\\\": \\\"white flat noodles\\\", \\\"protein\\\": \\\"thin slices of raw or lightly cooked beef\\\", \\\"herbs\\\": [ \\\"green basil leaves\\\" ] }, \\\"floating_elements\\\": [ \\\"basil leaves\\\", \\\"chili slices\\\", \\\"garlic cloves\\\", \\\"herb fragments\\\" ], \\\"steam\\\": { \\\"visibility\\\": \\\"clearly visible\\\", \\\"shape\\\": \\\"soft swirling trails\\\", \\\"opacity\\\": \\\"semi-transparent\\\" }, \\\"background\\\": { \\\"color\\\": \\\"soft teal gradient\\\", \\\"texture\\\": \\\"clean studio backdrop\\\" }, \\\"mood\\\": \\\"fresh, aromatic, premium culinary presentation\\\" },\"}")
  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
相关 PROMPTS

更多相似 prompts

IM
图像
Product & Brand gpt-image-2

{ "master_prompt": { "global_settings": { "resol...

{ "master_prompt": { "global_settings": { "resolution": "8K ultra-high-definition", "aspect_ratio": "3:4 vertical", "style": "hyper-realistic AI-edited commercial product photography", "sharpness": "extreme clarity, micro-detail visibility", "lighting_quality": "cinematic studio lighting with controlled highlights and shadows", "motion_freeze": "high-speed capture, frozen splashes and particles", "noise": "none", "artifacts": "none" }, "module_1_image_1_style": { "subject": { "type": "plastic protein drink bottle", "color": "deep matte blue", "surface_details": "condensation droplets across entire bottle", "label_text_visible": [ "milk & yogurt", "mock up", "protein", "SEPARATED SHADOWS" ] }, "pose_and_orientation": { "position": "slightly tilted to the right", "angle": "three-quarter view", "motion_feel": "dynamic, leaning into splash" }, "liquid_and_motion": { "liquid_color": "white and light beige milk mixture", "texture": "smooth, creamy, fluid", "motion": "swirling splash rising around bottle base and sides" }, "floating_elements": { "blueberries": "whole and halved blueberries at different depths", "mint_leaves": "small green leaves with visible veins", "droplets": "milk droplets and spheres suspended mid-air" }, "background": { "color_gradient": "dark blue to warm amber", "bokeh": "soft circular light particles scattered throughout" }, "surface_and_reflection": { "base": "matte ground with light liquid pooling", "shadow_style": "soft separated shadow under bottle" } }, "module_2_image_2_style": { "subject": { "type": "metal coffee can", "color": "warm gold", "surface_details": "heavy condensation with visible droplets", "branding_text_visible": [ "NESCAFÉ", "Latte", "NEW LOOK", "ICED COFFEE WITH MILK", "SUGAR AND SWEETENER OPTIONAL" ] }, "pose_and_orientation": { "position": "upright, centered", "angle": "front-facing", "presence": "hero product stance" }, "liquid_and_motion": { "liquid_color": "coffee and milk blend", "motion": "splash erupting from base", "droplet_behavior": "fine droplets scattered outward" }, "floating_elements": { "coffee_beans": "whole roasted beans floating around can", "steam": "thick swirling steam rising upward", "embers": "tiny glowing particles in background" }, "background": { "color_palette": "deep brown, amber, gold", "atmosphere": "warm, smoky, intense" }, "surface_and_reflection": { "base": "wet surface with liquid splash crown", "reflection_quality": "subtle reflective highlights" } }

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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": "{ \"master_prompt\": { \"global_settings\": { \"resolution\": \"8K ultra-high-definition\", \"aspect_ratio\": \"3:4 vertical\", \"style\": \"hyper-realistic AI-edited commercial product photography\", \"sharpness\": \"extreme clarity, micro-detail visibility\", \"lighting_quality\": \"cinematic studio lighting with controlled highlights and shadows\", \"motion_freeze\": \"high-speed capture, frozen splashes and particles\", \"noise\": \"none\", \"artifacts\": \"none\" }, \"module_1_image_1_style\": { \"subject\": { \"type\": \"plastic protein drink bottle\", \"color\": \"deep matte blue\", \"surface_details\": \"condensation droplets across entire bottle\", \"label_text_visible\": [ \"milk & yogurt\", \"mock up\", \"protein\", \"SEPARATED SHADOWS\" ] }, \"pose_and_orientation\": { \"position\": \"slightly tilted to the right\", \"angle\": \"three-quarter view\", \"motion_feel\": \"dynamic, leaning into splash\" }, \"liquid_and_motion\": { \"liquid_color\": \"white and light beige milk mixture\", \"texture\": \"smooth, creamy, fluid\", \"motion\": \"swirling splash rising around bottle base and sides\" }, \"floating_elements\": { \"blueberries\": \"whole and halved blueberries at different depths\", \"mint_leaves\": \"small green leaves with visible veins\", \"droplets\": \"milk droplets and spheres suspended mid-air\" }, \"background\": { \"color_gradient\": \"dark blue to warm amber\", \"bokeh\": \"soft circular light particles scattered throughout\" }, \"surface_and_reflection\": { \"base\": \"matte ground with light liquid pooling\", \"shadow_style\": \"soft separated shadow under bottle\" } }, \"module_2_image_2_style\": { \"subject\": { \"type\": \"metal coffee can\", \"color\": \"warm gold\", \"surface_details\": \"heavy condensation with visible droplets\", \"branding_text_visible\": [ \"NESCAFÉ\", \"Latte\", \"NEW LOOK\", \"ICED COFFEE WITH MILK\", \"SUGAR AND SWEETENER OPTIONAL\" ] }, \"pose_and_orientation\": { \"position\": \"upright, centered\", \"angle\": \"front-facing\", \"presence\": \"hero product stance\" }, \"liquid_and_motion\": { \"liquid_color\": \"coffee and milk blend\", \"motion\": \"splash erupting from base\", \"droplet_behavior\": \"fine droplets scattered outward\" }, \"floating_elements\": { \"coffee_beans\": \"whole roasted beans floating around can\", \"steam\": \"thick swirling steam rising upward\", \"embers\": \"tiny glowing particles in background\" }, \"background\": { \"color_palette\": \"deep brown, amber, gold\", \"atmosphere\": \"warm, smoky, intense\" }, \"surface_and_reflection\": { \"base\": \"wet surface with liquid splash crown\", \"reflection_quality\": \"subtle reflective highlights\" } }"
}
JSON
IM
图像
Product & Brand gpt-image-2

Low-angle fashion campaign photograph of a confident model h...

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

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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
IM
图像
Photography gpt-image-2

Create an infographic image of [LANDMARK], combining a real...

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.

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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
IM
图像
Poster Design gpt-image-2

请根据[主题]自动生成一张[博物馆图鉴式中文拆解信息图]。 要求整张图兼具真实写实主视觉、结构拆解、中文标注、材质说明...

请根据[主题]自动生成一张[博物馆图鉴式中文拆解信息图]。 要求整张图兼具真实写实主视觉、结构拆解、中文标注、材质说明、纹样寓意、色彩含义和核心特征总结。你需要根据[主题]自动判断最合适的主体对象、服饰体系、器物结构、时代风格、关键部件、材质工艺、颜色方案与版式结构，用户无需再提供其他信息。 整体风格应为：国家博物馆展板、历史服饰图鉴、文博专题信息图，而不是普通海报、古风写真、电商详情页或动漫插画。背景采用米白、绢纸白、浅茶色等纸张质感，整体高级、克制、专业、可收藏。 版式固定为： - 顶部：中文主标题 + 副标题 + 导语 - 左侧：结构拆解区，中文引线标注关键部件，并配局部特写 - 右上：材质 / 工艺 / 质感区，展示真实纹理小样并附说明 - 右中：纹样 / 色彩 / 寓意区，展示主色板、纹样样本和文化解释 - 底部：穿着顺序 / 构成流程图 + 核心特征总结 若主题适合人物展示，则以真实人物全身站姿为中央主体；若更适合器物或单体结构，则改为中心主体拆解图，但整体仍保持完整中文信息图形式。所有文字必须为简体中文，清晰、规整、可读，不要乱码、错字、英文或拼音。重点突出真实结构、材质差异、文化说明与图鉴气质。 避免：海报感、影楼感、电商感、动漫感、cosplay感、乱标注、错结构、糊字、假材质、过度装饰。

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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": "请根据[主题]自动生成一张[博物馆图鉴式中文拆解信息图]。 要求整张图兼具真实写实主视觉、结构拆解、中文标注、材质说明、纹样寓意、色彩含义和核心特征总结。你需要根据[主题]自动判断最合适的主体对象、服饰体系、器物结构、时代风格、关键部件、材质工艺、颜色方案与版式结构，用户无需再提供其他信息。 整体风格应为：国家博物馆展板、历史服饰图鉴、文博专题信息图，而不是普通海报、古风写真、电商详情页或动漫插画。背景采用米白、绢纸白、浅茶色等纸张质感，整体高级、克制、专业、可收藏。 版式固定为： - 顶部：中文主标题 + 副标题 + 导语 - 左侧：结构拆解区，中文引线标注关键部件，并配局部特写 - 右上：材质 / 工艺 / 质感区，展示真实纹理小样并附说明 - 右中：纹样 / 色彩 / 寓意区，展示主色板、纹样样本和文化解释 - 底部：穿着顺序 / 构成流程图 + 核心特征总结 若主题适合人物展示，则以真实人物全身站姿为中央主体；若更适合器物或单体结构，则改为中心主体拆解图，但整体仍保持完整中文信息图形式。所有文字必须为简体中文，清晰、规整、可读，不要乱码、错字、英文或拼音。重点突出真实结构、材质差异、文化说明与图鉴气质。 避免：海报感、影楼感、电商感、动漫感、cosplay感、乱标注、错结构、糊字、假材质、过度装饰。"
}
JSON
IM
图像
Poster Design gpt-image-2

生成一张[餐饮品牌触点矩阵]系列视觉图，用于展示一个完整的餐饮品牌视觉系统与包装应用方案。 这是一个面向餐饮行业的品牌...

生成一张[餐饮品牌触点矩阵]系列视觉图，用于展示一个完整的餐饮品牌视觉系统与包装应用方案。 这是一个面向餐饮行业的品牌VI样机展示板 / 包装系统陈列图 / 品牌提案页。画面不是单张宣传海报，而是将品牌主视觉、主打产品、包装物料、菜单信息、促销内容与小型延展物料整合成一张系统化品牌展示图。 【用户输入信息】 - 品牌名：[品牌名] - 经营类目：[经营类目] 【可选补充信息】 - 主打产品：[主打产品] - 品牌口号：[品牌口号] - 风格方向：[风格方向] - 主色调：[主色调] - 辅助色：[辅助色] - 客群定位：[客群定位] - 价格定位：[价格定位] - 地域风格：[地域风格] - 画幅比例：[画幅比例] 【自动补全规则】 如果用户没有提供完整品牌信息，请根据【品牌名】与【经营类目】自动推导并完成最优组合，包括： 1. 判断品牌调性（年轻、亲和、国潮、复古、清新、治愈、精致、快餐感等） 2. 匹配适合该类目的视觉风格 3. 自动设定合理的主色、辅助色与点缀色 4. 自动补全主打产品与辅助产品 5. 自动生成适合餐饮传播的品牌口号、卖点文案、价格信息与推荐标签 6. 自动匹配合适的餐饮物料类型与展示内容 【画面内容要求】 画面中应围绕【品牌名】构建一整套餐饮品牌物料系统，包含但不限于以下内容： - 核心包装：手提袋、外卖袋、包装盒、打包盒、纸袋、塑料袋 - 饮品 / 食品容器：纸杯、杯套、碗、餐盒、封口贴、标签 - 信息传播物料：菜单、促销海报、价格牌、桌牌、立牌、小卡片 - 小型品牌延展：贴纸、徽章、纸巾、餐具、包装封条、吊牌 - 产品表现：主打餐品照片、单品主视觉、食物特写、切面图、推荐组合图 【构图与版式要求】 采用竖版【画幅比例】构图，整体为白色、米白色或浅灰色背景，以品牌提案板 / 样机矩阵板的方式组织画面。 通过大中小物料混排形成视觉层级： - 大型包装和主视觉物料作为视觉锚点 - 中型菜单、海报和价格模块负责信息传达 - 小型贴纸、餐具、标签与周边物料增强系统完整度 整体构图应具有明确秩序感，接近品牌方案展示页、作品集陈列页、包装提案页的视觉效果。元素要排列整齐但不呆板，丰富但不杂乱，具有模块化与可阅读性。 【风格与质感要求】 整体风格应符合【经营类目】与【品牌名】气质，具有明显的餐饮品牌感、商业传播感、样机展示感与系统设计感。 可融合以下风格倾向：现代简洁、国潮趣味、轻复古、生活方式感、快消感、温暖治愈感、年轻化传播感。 材质真实，包含纸张、塑料、布袋、包装盒、杯体、贴纸、餐具等真实物料质感；光影柔和统一，像在干净摄影棚环境中拍摄的品牌物料合集。 【文字与图形要求】 所有物料上应统一出现品牌名、Logo、品牌符号、主色块、口号或卖点文案。 文案可为中文或中英混排，但要符合餐饮传播表达，简洁直接，具备商品售卖感。 图形系统可以根据品牌调性选择简洁插画、几何图形、卡通吉祥物、符号化图标或辅助纹样，用于增强品牌记忆点。 【输出目标】 最终生成一张完整的【品牌名】餐饮品牌视觉系统展示图，像设计团队为该餐饮品牌制作的整套品牌提案样机板。 要求画面统一、精致、具备商业落地感与作品集展示质量，并能清楚体现品牌风格、主打类目与多触点包装延展能力。 Make the aspect ratio 9:16

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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": "生成一张[餐饮品牌触点矩阵]系列视觉图，用于展示一个完整的餐饮品牌视觉系统与包装应用方案。 这是一个面向餐饮行业的品牌VI样机展示板 / 包装系统陈列图 / 品牌提案页。画面不是单张宣传海报，而是将品牌主视觉、主打产品、包装物料、菜单信息、促销内容与小型延展物料整合成一张系统化品牌展示图。 【用户输入信息】 - 品牌名：[品牌名] - 经营类目：[经营类目] 【可选补充信息】 - 主打产品：[主打产品] - 品牌口号：[品牌口号] - 风格方向：[风格方向] - 主色调：[主色调] - 辅助色：[辅助色] - 客群定位：[客群定位] - 价格定位：[价格定位] - 地域风格：[地域风格] - 画幅比例：[画幅比例] 【自动补全规则】 如果用户没有提供完整品牌信息，请根据【品牌名】与【经营类目】自动推导并完成最优组合，包括： 1. 判断品牌调性（年轻、亲和、国潮、复古、清新、治愈、精致、快餐感等） 2. 匹配适合该类目的视觉风格 3. 自动设定合理的主色、辅助色与点缀色 4. 自动补全主打产品与辅助产品 5. 自动生成适合餐饮传播的品牌口号、卖点文案、价格信息与推荐标签 6. 自动匹配合适的餐饮物料类型与展示内容 【画面内容要求】 画面中应围绕【品牌名】构建一整套餐饮品牌物料系统，包含但不限于以下内容： - 核心包装：手提袋、外卖袋、包装盒、打包盒、纸袋、塑料袋 - 饮品 / 食品容器：纸杯、杯套、碗、餐盒、封口贴、标签 - 信息传播物料：菜单、促销海报、价格牌、桌牌、立牌、小卡片 - 小型品牌延展：贴纸、徽章、纸巾、餐具、包装封条、吊牌 - 产品表现：主打餐品照片、单品主视觉、食物特写、切面图、推荐组合图 【构图与版式要求】 采用竖版【画幅比例】构图，整体为白色、米白色或浅灰色背景，以品牌提案板 / 样机矩阵板的方式组织画面。 通过大中小物料混排形成视觉层级： - 大型包装和主视觉物料作为视觉锚点 - 中型菜单、海报和价格模块负责信息传达 - 小型贴纸、餐具、标签与周边物料增强系统完整度 整体构图应具有明确秩序感，接近品牌方案展示页、作品集陈列页、包装提案页的视觉效果。元素要排列整齐但不呆板，丰富但不杂乱，具有模块化与可阅读性。 【风格与质感要求】 整体风格应符合【经营类目】与【品牌名】气质，具有明显的餐饮品牌感、商业传播感、样机展示感与系统设计感。 可融合以下风格倾向：现代简洁、国潮趣味、轻复古、生活方式感、快消感、温暖治愈感、年轻化传播感。 材质真实，包含纸张、塑料、布袋、包装盒、杯体、贴纸、餐具等真实物料质感；光影柔和统一，像在干净摄影棚环境中拍摄的品牌物料合集。 【文字与图形要求】 所有物料上应统一出现品牌名、Logo、品牌符号、主色块、口号或卖点文案。 文案可为中文或中英混排，但要符合餐饮传播表达，简洁直接，具备商品售卖感。 图形系统可以根据品牌调性选择简洁插画、几何图形、卡通吉祥物、符号化图标或辅助纹样，用于增强品牌记忆点。 【输出目标】 最终生成一张完整的【品牌名】餐饮品牌视觉系统展示图，像设计团队为该餐饮品牌制作的整套品牌提案样机板。 要求画面统一、精致、具备商业落地感与作品集展示质量，并能清楚体现品牌风格、主打类目与多触点包装延展能力。 Make the aspect ratio 9:16"
}
JSON
IM
图像
Food & Drink gpt-image-2

{ "global_settings": { "resolution": "8K ultra high de...

{ "global_settings": { "resolution": "8K ultra high definition", "aspect_ratio": "3:4", "camera_style": "studio food photography with cinematic lighting", "depth_of_field": "shallow depth of field, sharp subject, soft background", "lighting": "soft directional key light, subtle rim light, controlled highlights", "style": "hyper-realistic food illustration with editorial infographic overlays", "composition_rules": [ "no zoom", "no crop", "center-weighted vertical composition", "floating elements frozen in motion" ], "text_design": { "ingredient_name_color": "metallic gold", "ingredient_description_color": "pure white", "font_style": "elegant serif for titles, clean sans-serif for descriptions", "indicator_lines": "long, thin, smooth golden lines with rounded corners" } }, "module_1_image_1_style": { "scene_description": "A vertical stack of assorted cake slices floating above a white ceramic plate against a soft pink gradient background.", "background": { "color": "soft pastel pink", "texture": "smooth gradient", "lighting": "even, studio-lit, no harsh shadows" }, "main_subjects": [ "multiple layered sponge cake slices", "white whipped cream layers", "raspberry cream layer", "chocolate cream topping" ], "visible_ingredients": [ "vanilla sponge cake", "whipped cream", "raspberries", "blueberries", "strawberries", "macarons (vanilla and chocolate)", "chocolate bar pieces", "mint leaves", "small nut fragments" ], "motion_elements": [ "floating fruits", "floating macarons", "crumbs suspended in air" ], "text_labels": [ "Vanilla Cake – soft, fluffy sponge cake layered with white cream filling", "Macaron – creamy filling between almond meringue shells", "Raspberries – juicy, fresh raspberries", "Chocolate Bar – chunks of smooth milk chocolate", "Raspberry Cream – soft sponge cake layered with creamy, fruity raspberry cream" ] }, "module_2_image_2_style": { "scene_description": "Rolled Syrian dessert presented vertically with syrup pouring from above, placed in a warm, rustic kitchen environment.", "background": { "environment": "traditional kitchen", "elements": [ "warm lantern light", "wooden surfaces", "brass and copper utensils" ], "lighting": "warm ambient lighting with soft highlights" }, "main_subjects": [ "rolled white dessert dough", "cream filling spilling out", "golden syrup stream" ], "visible_ingredients": [ "white cheese dough", "cream filling", "pistachios", "sugar syrup" ], "motion_elements": [ "syrup dripping vertically", "pistachio crumbs falling" ], "text_labels": [ "White Cheese Dough – soft outer layer made from cheese and semolina", "Cream Filling – creamy filling inside the roll", "Pistachios – crushed pistachios sprinkled over and inside the rolls" ] }

/api/v1/gpt_image_2/text_to_image
查看 API 代码 
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": "{ \"global_settings\": { \"resolution\": \"8K ultra high definition\", \"aspect_ratio\": \"3:4\", \"camera_style\": \"studio food photography with cinematic lighting\", \"depth_of_field\": \"shallow depth of field, sharp subject, soft background\", \"lighting\": \"soft directional key light, subtle rim light, controlled highlights\", \"style\": \"hyper-realistic food illustration with editorial infographic overlays\", \"composition_rules\": [ \"no zoom\", \"no crop\", \"center-weighted vertical composition\", \"floating elements frozen in motion\" ], \"text_design\": { \"ingredient_name_color\": \"metallic gold\", \"ingredient_description_color\": \"pure white\", \"font_style\": \"elegant serif for titles, clean sans-serif for descriptions\", \"indicator_lines\": \"long, thin, smooth golden lines with rounded corners\" } }, \"module_1_image_1_style\": { \"scene_description\": \"A vertical stack of assorted cake slices floating above a white ceramic plate against a soft pink gradient background.\", \"background\": { \"color\": \"soft pastel pink\", \"texture\": \"smooth gradient\", \"lighting\": \"even, studio-lit, no harsh shadows\" }, \"main_subjects\": [ \"multiple layered sponge cake slices\", \"white whipped cream layers\", \"raspberry cream layer\", \"chocolate cream topping\" ], \"visible_ingredients\": [ \"vanilla sponge cake\", \"whipped cream\", \"raspberries\", \"blueberries\", \"strawberries\", \"macarons (vanilla and chocolate)\", \"chocolate bar pieces\", \"mint leaves\", \"small nut fragments\" ], \"motion_elements\": [ \"floating fruits\", \"floating macarons\", \"crumbs suspended in air\" ], \"text_labels\": [ \"Vanilla Cake – soft, fluffy sponge cake layered with white cream filling\", \"Macaron – creamy filling between almond meringue shells\", \"Raspberries – juicy, fresh raspberries\", \"Chocolate Bar – chunks of smooth milk chocolate\", \"Raspberry Cream – soft sponge cake layered with creamy, fruity raspberry cream\" ] }, \"module_2_image_2_style\": { \"scene_description\": \"Rolled Syrian dessert presented vertically with syrup pouring from above, placed in a warm, rustic kitchen environment.\", \"background\": { \"environment\": \"traditional kitchen\", \"elements\": [ \"warm lantern light\", \"wooden surfaces\", \"brass and copper utensils\" ], \"lighting\": \"warm ambient lighting with soft highlights\" }, \"main_subjects\": [ \"rolled white dessert dough\", \"cream filling spilling out\", \"golden syrup stream\" ], \"visible_ingredients\": [ \"white cheese dough\", \"cream filling\", \"pistachios\", \"sugar syrup\" ], \"motion_elements\": [ \"syrup dripping vertically\", \"pistachio crumbs falling\" ], \"text_labels\": [ \"White Cheese Dough – soft outer layer made from cheese and semolina\", \"Cream Filling – creamy filling inside the roll\", \"Pistachios – crushed pistachios sprinkled over and inside the rolls\" ] }"
}
JSON
常见问题

使用这个 gpt-image-2 prompt

如何安全复制这个 prompt？

使用完整 prompt 区块旁边的复制按钮。它只复制 prompt 文本，不包含页面标签，所以可以直接粘贴到 agent 指令、JSON 请求体或你自己的 prompt 库。

为什么详情页会显示参数？

有些 prompt 采集时带有画幅、时长或声音控制等生成设置。存在参数时，页面会单独列出，方便你同时复用 prompt 文本和结构化设置。

应该调用哪个 endpoint？

使用 API 代码块里显示的 endpoint 路径。这个路径由 prompt 的 RunAPI 服务和 endpoint 名称生成，并渲染成 curl 与 SDK 示例使用的公开 API URL。

可以不用代码，直接在 agent 里用吗？

可以。在标签切换器里选择 Claude Code、Codex、Cursor 或 Windsurf，安装 RunAPI MCP Server，然后粘贴生成好的指令。指令会包含完整 prompt 文本。