Flexible parameters
Configure 3 documented parameters, including include_split_images, prompt, source_image_url.
Prompt-guided editing from one source image
curl -X POST https://runapi.ai/api/v1/midjourney/edit_image \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "midjourney-edit-image",
"source_image_url": "https://cdn.runapi.ai/public/samples/image.jpg",
"prompt": "Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit."
}'
import { MidjourneyClient } from "@runapi.ai/midjourney";
const client = new MidjourneyClient();
const result = await client.editImage.run({
model: "midjourney-edit-image",
source_image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
prompt: "Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit.",
});
import os
import requests
response = requests.post(
"https://runapi.ai/api/v1/midjourney/edit_image",
headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
json={"model":"midjourney-edit-image","source_image_url":"https://cdn.runapi.ai/public/samples/image.jpg","prompt":"Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit."}
)
response.raise_for_status()
<?php
$client = curl_init("https://runapi.ai/api/v1/midjourney/edit_image");
curl_setopt_array($client, [
CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
CURLOPT_POSTFIELDS => json_encode([
'model' => 'midjourney-edit-image',
'source_image_url' => 'https://cdn.runapi.ai/public/samples/image.jpg',
'prompt' => 'Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit.',
])
]);
$response = curl_exec($client);
RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.editImage().run({"model":"midjourney-edit-image","source_image_url":"https://cdn.runapi.ai/public/samples/image.jpg","prompt":"Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit."});
task.waitForResult();
require "runapi/midjourney"
client = RunApi::Midjourney::Client.new
result = client.edit_image.run(
model: "midjourney-edit-image",
source_image_url: "https://cdn.runapi.ai/public/samples/image.jpg",
prompt: "Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit."
)
client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.editImage.Run({"model":"midjourney-edit-image","source_image_url":"https://cdn.runapi.ai/public/samples/image.jpg","prompt":"Create a cinematic product image of a cobalt ceramic vase on white marble, then animate it with a slow camera orbit."})
if err != nil { log.Fatal(err) }
task.Wait()
$ runapi generate \
--model midjourney-edit-image \
--endpoint edit_image \
--wait
3 versions available
Pick any model and generate in seconds.
| Provider | Midjourney |
| Model ID | midjourney-edit-image |
| Modality | Image |
| Task types | Asynchronous |
| API endpoint | /api/v1/midjourney/edit_image |
| Billing unit | call |
| Input parameters | include_split_images, prompt, source_image_url |
| Catalog status | Operational |
Sign up for free and create an API key for midjourney-edit-image from the dashboard.
POST to /api/v1/midjourney/edit_image with the midjourney-edit-image model slug and your parameters.
Poll the task or follow the callback to retrieve the completed midjourney-edit-image result.
Configure 3 documented parameters, including include_split_images, prompt, source_image_url.
Exposes 1 public endpoint(s): edit_image.
Metered by call with no subscription requirement.
promptNo description available.
source_image_urlNo description available.
include_split_imagesNo description available.
Auto-generate lifestyle product photos for e-commerce catalogs that lack studio photography.
Rapidly concept environments and characters before committing to final art.
Generate unique cover art and illustrations for blog posts and articles at scale.
Pass the model ID shown in the quickstart.
Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades.
Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape.
Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery.
Open an issue on the public GitHub repo or email support at [email protected]. Include the task ID and model ID so the team can investigate the specific generation.
No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider.
We're here to help with enterprise setup, integrations, and technical questions.
Contact Us