ByteDance Seedream 4 - AI Image Models Tool

Overview

Seedream 4 (by ByteDance) is a unified visual AI model for text-to-image generation and image editing, designed to produce high-resolution outputs (up to 4K) with fast inference for interactive and batch workflows. The model combines text-conditioned synthesis with image-conditioned editing: users can generate new imagery from natural-language prompts, refine existing images with localized edits (inpainting/outpainting), and combine multiple reference images for compositional results. Seedream 4 emphasizes flexible prompt-based editing (natural-language prompt editing) and style transfer capabilities so the same model can handle generation, retouching, and style adaptation. Available on Replicate, Seedream 4 targets creators and developers building high-fidelity visual tools and pipelines. Key real-world uses include producing 4K marketing assets, rapidly iterating concept art with natural-language edits, batch-generating variations for A/B testing, and applying style transfer consistent across multiple references. The Replicate model page provides example inputs, community examples, and deployment details (see model page for the exact input schema and runtime options) — pricing and commercial licensing details are not listed on the public model page.

Key Features

• High-resolution outputs up to 4K for production-quality images
• Unified text-to-image generation and image editing (inpainting/outpainting)
• Natural-language prompt editing for iterative, text-driven refinements
• Multi-reference input to compose elements from several images
• Batch workflows for bulk generation and export
• Style transfer and consistent cross-reference styling

Example Usage

Example (python):

import replicate

# NOTE: actual input parameter names and supported options vary by model version.
# Check the model page (https://replicate.com/bytedance/seedream-4) for the exact schema.

client = replicate.Client(api_token="<YOUR_REPLICATE_API_TOKEN>")

# Simple text-to-image call (template):
result_urls = client.run(
    "bytedance/seedream-4",
    input={
        "prompt": "A cinematic 4k photograph of a futuristic cityscape at sunset, volumetric lighting",
        # Optional/model-dependent params may include: resolution, guidance_scale, num_outputs, seed
    }
)
print("Outputs:", result_urls)

# Example: image editing with a reference and edit instruction (template):
edit_result = client.run(
    "bytedance/seedream-4",
    input={
        "prompt": "Make the subject wear a vintage leather jacket and change background to autumn park",
        "image_references": ["https://example.com/input_photo.jpg"],
        # If supported: include a mask URL or mask data under a key like 'mask'
    }
)
print("Edit outputs:", edit_result)

# For production use, consult the model page for exact parameter names, version tags, and rate limits.

Benchmarks

Maximum output resolution: Up to 4K (supports high-resolution outputs) (Source: https://replicate.com/bytedance/seedream-4)

Primary capabilities: Text-to-image generation, image editing (inpainting/outpainting), multi-reference composition, style transfer (Source: https://replicate.com/bytedance/seedream-4)

Batch and multi-reference support: Supports batch generation and multiple reference-image inputs for compositional editing (Source: https://replicate.com/bytedance/seedream-4)

Key Information

• Category: Image Models
• Type: AI Image Models Tool