AI Undresser - AI Image Tools Tool

Overview

AI Undresser is a Replicate-hosted visual AI model (listed at https://replicate.com/ai-undresser/app38) described as an image-processing and transformation tool. Public documentation on the model page is limited; the listing indicates the model is available for inference through Replicate’s platform, which typically exposes hosted models via a simple API for submitting image inputs and retrieving processed image outputs. Because the model is hosted on Replicate, it runs in-cloud on Replicate’s infrastructure and does not require local model installation. Specific technical details (architecture, training data, and explicit performance benchmarks) are not published on the Replicate listing. Prospective users should consult the model page for usage examples, input/output formats, and any provider notes. Given the apparent functionality implied by the name, users should consider legal, ethical, and privacy implications before using the service, and follow Replicate’s terms of service and applicable laws. Where concrete pricing or SLA details are not shown on the Replicate page, assume usage is governed by Replicate’s general billing unless the model owner provides different terms on the model page.

Key Features

• Hosted on Replicate for in-cloud inference via the Replicate API and SDKs.
• Accepts image inputs and returns processed image outputs (formats depend on model page).
• No local model download required—runs on Replicate infrastructure with per-call inference.
• Model page typically includes example inputs/outputs to preview behavior before use.
• Model usage is subject to Replicate platform policies and any owner-provided notes or restrictions.

Example Usage

Example (python):

import replicate

# Replace with your Replicate API token
client = replicate.Client(api_token="<REPLICATE_API_TOKEN>")

# The model slug from the Replicate listing
model = client.models.get("ai-undresser/app38")

# Example: send an image and receive the model output. Check the model page for exact input names.
with open("input.jpg", "rb") as f:
    # Many Replicate models accept an 'image' kwarg; the exact argument name may differ.
    output = model.predict(image=f)

# 'output' structure varies by model; inspect or print it to see returned URLs or image bytes
print(output)

Key Information

• Category: Image Tools
• Type: AI Image Tools Tool