# P-Image Edit

> PrunaAI's sub-1-second multi-image editing model supporting up to 5 reference images with state-of-the-art quality

## Quick Reference

- Model ID: p-image-edit
- Creator: PrunaAI
- Status: active
- Base URL: https://api.lumenfall.ai/openai/v1

## Specifications

- Max Input Images: 5
- Input Modalities: text, image
- Output Modalities: image

## Model Identifiers

- Primary Slug: p-image-edit

## Dates


## Tags

image-editing, image-to-image

## Available Providers

### Replicate

- Config Key: replicate/p-image-edit
- Provider Model ID: prunaai/p-image-edit
- Pricing:
  - notes: ["Sub-second multi-image editing model", "Supports up to 5 reference images"]
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "image", "unit_price" => 0.01}]
  - source_url: https://replicate.com/prunaai/p-image-edit
  - effective_at: 2025-12-30


## Performance Metrics

Provider performance over the last 30 days.

### replicate

- Median Generation Time (p50): 1980ms
- 95th Percentile Generation Time (p95): 3827ms
- Average Generation Time: 2249ms
- Success Rate: 57.9%
- Total Requests: 19
- Time to First Byte (p50): 1980ms
- Time to First Byte (p95): 4769ms


## Image Gallery

2 images available for this model.
- Curated examples: 2
  - "Add a plane to this beautiful sunset city"
  - "Add a capybara"

## Example Prompt

The following prompt was used to generate an example image in our playground:

Add a capybara

## Code Examples

### Text to Image (Generation)

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "p-image-edit",
    "prompt": "A serene mountain landscape at sunset",
    "size": "1024x1024"
  }'

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.lumenfall.ai/openai/v1'
});

const response = await client.images.generate({
  model: 'p-image-edit',
  prompt: 'A serene mountain landscape at sunset',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.generate(
    model="p-image-edit",
    prompt="A serene mountain landscape at sunset",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)

### Image Editing

#### cURL

curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/edits \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -F "model=p-image-edit" \
  -F "image=@source.png" \
  -F "prompt=Add a starry night sky to this image" \
  -F "size=1024x1024"

# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

#### JavaScript

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.lumenfall.ai/openai/v1'
});

const response = await client.images.edit({
  model: 'p-image-edit',
  image: fs.createReadStream('source.png'),
  prompt: 'Add a starry night sky to this image',
  size: '1024x1024'
});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);

#### Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lumenfall.ai/openai/v1"
)

response = client.images.edit(
    model="p-image-edit",
    image=open("source.png", "rb"),
    prompt="Add a starry night sky to this image",
    size="1024x1024"
)

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)


## About

## Overview
P-Image Edit is a high-speed image-to-image editing model developed by PrunaAI designed for near-instantaneous visual transformations. It stands out in the generative AI landscape by offering sub-second inference times while supporting up to five separate reference images for a single edit. This multi-reference capability allows the model to synthesize stylistic and structural elements from several sources simultaneously, maintaining high visual quality without typical performance bottlenecks.

## Strengths
*   **Latency Performance:** Achieves sub-one-second processing times, making it suitable for real-time interactive applications and high-throughput production pipelines.
*   **Multi-Reference Composition:** Supports inputting up to five reference images, allowing the model to bridge visual information across multiple context sources more effectively than single-image editing models.
*   **Temporal and Structural Consistency:** Maintains state-of-the-art visual quality during the editing process, ensuring that the output respects the core attributes of the primary input while integrating text-prompted changes.
*   **Flexibility in Modality:** Operates on a text-and-image input structure, providing granular control over how specific visual elements are modified or preserved.

## Limitations
*   **Inference Constraints:** While optimized for speed, the sub-second performance may vary depending on the resolution of the input images or the complexity of the specified edits.
*   **Context Management:** Balancing five different reference images requires precise prompting; the model may prioritize certain references over others depending on the visual weights of the input data.
*   **Limited Customization:** Being a specialized editing model, it may not perform as well in "text-to-image" only scenarios compared to general-purpose diffusion models like Stable Diffusion XL.

## Technical Background
P-Image Edit is built by PrunaAI with a focus on optimization and efficient inference. While the specific architecture builds upon modern diffusion techniques, the primary technical innovation lies in its multi-reference processing layer and the underlying acceleration that enables sub-second execution. This allows the model to bypass the heavy computational overhead usually associated with high-fidelity image-to-image tasks.

## Best For
*   **Real-time Creative Tools:** Applications where users need immediate feedback while adjusting image styles or elements.
*   **Batch Media Processing:** Workflows that require applying consistent edits or branding across large sets of images quickly.
*   **Concept Blending:** Scenarios where a final image needs to combine the aesthetic of several different source inspirations into a cohesive new output.

P-Image Edit is available for integration and testing through Lumenfall’s unified API and playground, providing a streamlined way to incorporate high-speed image editing into your stack.

## Frequently Asked Questions

### How much does P-Image Edit cost?

P-Image Edit starts at $0.01 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

### How do I use P-Image Edit via API?

You can use P-Image Edit through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "p-image-edit". Code examples are available in Python, JavaScript, and cURL.

### Which providers offer P-Image Edit?

P-Image Edit is available through Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

## Links

- Model Page: https://lumenfall.ai/models/prunaai/p-image-edit
- About: https://lumenfall.ai/models/prunaai/p-image-edit/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/prunaai/p-image-edit/providers
- API Reference: https://lumenfall.ai/models/prunaai/p-image-edit/api
- Benchmarks: https://lumenfall.ai/models/prunaai/p-image-edit/benchmarks
- Use Cases: https://lumenfall.ai/models/prunaai/p-image-edit/use-cases
- Gallery: https://lumenfall.ai/models/prunaai/p-image-edit/gallery
- Playground: https://lumenfall.ai/playground?model=p-image-edit
- API Documentation: https://docs.lumenfall.ai