Easel AI - AI Image Tools Tool

Overview

Easel AI is an image-manipulation model surfaced via Replicate that focuses on high-fidelity face swaps and avatar generation. According to Replicate's announcement blog, Easel aims to preserve user likeness while enabling creative edits—ranging from photorealistic identity transfers to stylized avatar creations—by conditioning on one or more portrait images and optional style prompts (source: https://replicate.com/blog/easel). The model is positioned for content creators, game and app developers, and VFX artists who need consistent, identity-preserving transformations across still images or sequences. Easel emphasizes controllable edits: creators can specify source and target images, apply masks for localized changes, and choose stylistic directions for the output. Because Easel is offered through Replicate, it is accessible via API for integration into pipelines, UIs, and batch processing workflows. Replicate's blog post and model page are the primary public sources of detail about the model and its intended uses (source: Replicate blog). Specific commercial metrics, pricing tiers, and benchmark results are not published in that announcement; pricing and performance depend on deployment and hosted inference options on Replicate's platform.

Key Features

• High-fidelity face swaps preserving identity, expression, and skin tone
• Avatar generation from one or multiple portrait images with stylistic control
• Mask-driven localized edits for precise region replacement and compositing
• API-first model available via Replicate for easy integration into pipelines
• Supports both photorealistic and stylized outputs via prompt or parameter controls

Example Usage

Example (python):

import requests
import time

# Illustrative example: submit an Easel prediction to Replicate's REST API.
# Replace REPLICATE_API_TOKEN, easel-version, and input fields with real values from Replicate.

API_TOKEN = "REPLICATE_API_TOKEN"
MODEL_VERSION = "easel-model-version"  # get the correct version string from Replicate

headers = {
    "Authorization": f"Token {API_TOKEN}",
    "Content-Type": "application/json",
}

payload = {
    "version": MODEL_VERSION,
    "input": {
        "source_image": "https://example.com/source.jpg",
        "target_image": "https://example.com/target.jpg",
        "prompt": "Photorealistic head swap, preserve expression",
        # Additional model-specific options (mask, strength, style) go here
    }
}

resp = requests.post("https://api.replicate.com/v1/predictions", json=payload, headers=headers)
resp.raise_for_status()
prediction = resp.json()

# Poll for completion (simple loop)
prediction_url = f"https://api.replicate.com/v1/predictions/{prediction['id']}"
while True:
    r = requests.get(prediction_url, headers=headers)
    r.raise_for_status()
    state = r.json()
    if state.get("status") in ("succeeded", "failed"):
        break
    time.sleep(1)

print(state)
# "state" will contain output URLs or error messages. See Replicate docs for concrete fields.

Key Information

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