AI Image Editor — Transform Photos with Text Prompts avatar

AI Image Editor — Transform Photos with Text Prompts

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from $0.00005 / actor start

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AI Image Editor — Transform Photos with Text Prompts

AI Image Editor — Transform Photos with Text Prompts

AI-powered image-to-image editing using text prompts. Transform photos, product images, and artwork with natural language instructions.

Pricing

from $0.00005 / actor start

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0.0

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Developer

Akash Kumar Naik

Akash Kumar Naik

Maintained by Community

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2

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1

Monthly active users

2 days ago

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AI Image Editor

AI-powered image editing using text prompts. Transform photos, product images, and artwork with natural language instructions.

What it does

This actor edits images based on a text prompt using the RunPod qwen-image-edit-2511-lora endpoint. Upload an image, describe the changes you want, and receive an edited version.

  • 🖼️ Edit any image via URL using AI-powered image-to-image transformation
  • 📝 Natural language prompts — describe what you want changed
  • ⚡ Synchronous execution — waits for the result and returns it
  • 🎨 Supports JPEG, PNG, and WebP output formats
  • 🔧 Optional LoRA adapters and advanced parameters

Input

{
"imageUrl": "https://example.com/photo.jpg",
"prompt": "A futuristic city with glowing neon lights",
"outputFormat": "jpeg",
"aspectRatio": "1024*1024",
"seed": -1
}

Input fields

FieldTypeRequiredDescription
imageUrlstringURL of the image to edit
promptstringText description of the desired edit
outputFormatstringOutput format: jpeg, png, webp (default: jpeg)
aspectRatiostringOutput dimensions: 1024*1024, 1024*1280, 1280*1024, 1280*1280, 1280*1536, 1536*1080 (default: 1024*1024)
seedintegerRandom seed for reproducibility. -1 = random (default: -1)
numInferenceStepsintegerNumber of denoising steps (1–100)
guidancenumberGuidance scale for prompt adherence (1–20)
enableBase64OutputbooleanReturn image as base64 in response (default: false)

Output

The actor produces two outputs:

📊 Dataset — Run Results

Metadata about the editing job, including a public URL to the edited image:

{
"status": "COMPLETED",
"prompt": "A futuristic city with glowing neon lights",
"originalImageUrl": "https://example.com/photo.jpg",
"outputFormat": "jpeg",
"imageSize": 245760,
"imageExtension": "jpg",
"contentType": "image/jpeg",
"publicImageUrl": "https://api.apify.com/v2/key-value-stores/xxx/records/edited-image",
"delayTime": 1500,
"executionTime": 8200,
"runpodJobId": "abc-123"
}

🖼️ Key-Value Store — Edited Image

The generated/edited image is saved as edited-image in the default key-value store. It is accessible via a public URL that is returned in the dataset results.

Use Cases

  • 👗 Fashion & e-commerce — change backgrounds, lighting, or styles on product photos
  • 🏠 Real estate — enhance property images, change time of day, add furnishings
  • 🎨 Creative workflows — iterate on concept art and illustrations
  • 📸 Photography — apply stylistic edits, lighting corrections, or scene modifications
  • 🛍️ Marketing — quickly generate variations of campaign imagery

Tips & Best Practices

  • Be specific in prompts — detailed descriptions yield better edits
  • Use seeds — set a fixed seed to reproduce the same edit style across multiple images
  • Start with defaults — the default 1024*1024 size and format work well for most cases
  • Check RunPod dashboard — if jobs fail, verify your API key and endpoint availability
  • Timeout — the actor waits up to 5 minutes for RunPod to complete the job