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："Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. codex plugin install runapi-mcp@agents
2. 重启 Codex
3. 粘贴这个 prompt：生成一张图像："Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. npx @runapi.ai/mcp init cursor
2. 重启 Cursor
3. 粘贴这个 prompt：生成一张图像："Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. npx @runapi.ai/mcp init windsurf
2. 重启 Windsurf
3. 粘贴这个 prompt：生成一张图像："Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-2-pro-text-to-image",
"prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
}
JSON
import { Flux2Client } from "@runapi.ai/flux-2";
const client = new Flux2Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "flux-2-pro-text-to-image",
"prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
});
console.log(result.id);
require "runapi/flux_2"
client = RunApi::Flux2::Client.new
result = client.text_to_image.run(
model: "flux-2-pro-text-to-image",
prompt: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"flux-2-pro-text-to-image\",\"prompt\":\"Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/flux_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)
}
flux-2-pro-text-to-image/api/v1/flux_2/text_to_image获取 API Key
Minimalist landscape photograph of a perfectly still mountain lake at dawn. A single row of dark pine trees reflected symmetrically in the water creates a natural Rorschach pattern. Dense morning mist obscures the mountain peaks, leaving only their lower slopes visible as soft gray shapes. The color palette is restricted to muted teal water, dark green trees, and silver-gray fog. High key exposure with crushed blacks. Wide aspect ratio emphasizing horizontal calm. Fine art photography style reminiscent of Michael Kenna.
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "flux-2-pro-text-to-image",
"prompt": "Minimalist landscape photograph of a perfectly still mountain lake at dawn. A single row of dark pine trees reflected symmetrically in the water creates a natural Rorschach pattern. Dense morning mist obscures the mountain peaks, leaving only their lower slopes visible as soft gray shapes. The color palette is restricted to muted teal water, dark green trees, and silver-gray fog. High key exposure with crushed blacks. Wide aspect ratio emphasizing horizontal calm. Fine art photography style reminiscent of Michael Kenna."
}
JSON