PrunaAI

P-Image Edit AI Image Editing Model

Name: P-Image Edit
Brand: PrunaAI
Price: 0.01 USD
Availability: InStock

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

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Input / Output

Text Image → Image

Active

Details

Model ID

p-image-edit

Creator

PrunaAI

Max Input Images

Ready to integrate?

Access p-image-edit via our unified API.

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Providers & Pricing (1)

P-Image Edit is available exclusively through Replicate, starting at $0.01/image.

Replicate

replicate/p-image-edit

Provider Model ID: prunaai/p-image-edit

Output

Image

$0.010 per image

Pricing Notes (2)

• Sub-second multi-image editing model
• Supports up to 5 reference images

View official pricing • As of Dec 30, 2025

Provider Performance

Fastest generation through replicate at 1,980ms median latency with 57.9% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

replicate

p95: 3,827ms

Success Rate

replicate

57.9%

11 / 19 requests

Time to First Byte

replicate

1,980ms

p95: 4,769ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	replicate	1,980ms	3,827ms	57.9%	1,980ms

Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

P-Image Edit API OpenAI-compatible

Use P-Image Edit via Lumenfall’s OpenAI-compatible API to perform sub-1-second image generation and multi-reference image editing.

Base URL

https://api.lumenfall.ai/openai/v1

Model

p-image-edit

Text to Image Generate

Create images from text descriptions

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": "..." }] }

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);

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 Edit

Transform existing images with text instructions

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=p-image-edit" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

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

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);

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)

Full API Reference Authentication, endpoints, and more

Gallery

View all 2 images

P-Image Edit FAQ

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.

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.

Try P-Image Edit in Playground

Generate images with custom prompts — no API key needed.

Open Playground