Seedream 4.5
ByteDance's unified AI model that seamlessly combines high-fidelity image generation and intelligent image editing in a single architecture, with standout text rendering and multi-image composition capabilities.
ByteDance 
WaveSpeed Unified image generation and editing by ByteDance
Seedream 4.5 is an image generation and editing model developed by ByteDance, built on a unified architecture that handles both creating images from text prompts and modifying existing images within a single system. It accepts up to 10 reference images in one request, enabling multi-source compositing workflows such as product swaps and element transfers between images while preserving depth, perspective, and lighting consistency. The model supports output resolutions up to 2048×2048 pixels across multiple aspect ratios including 1:1, 16:9, and 9:16.
One of Seedream 4.5's most documented characteristics is its text rendering accuracy — it can produce correctly spelled, legible text in various font styles and non-Latin scripts integrated naturally into scenes like signs, packaging, and posters. The model ranks 10th globally on the LM Arena leaderboard with a score of 1147 and was trained through December 2025. It is well suited for designers, marketers, and e-commerce teams who need production-ready visuals driven by natural language prompts, without requiring manual selection tools or layer-based editing workflows.
What Seedream 4.5 supports
Text-to-Image Generation
Generates images from natural language prompts with a context window of up to 10,000 tokens for detailed descriptions. Supports output up to 2048×2048 pixels (4 megapixels).
Image Editing
Modifies existing images using natural language instructions without requiring layer masks or manual selection tools. Editing and generation share a single unified architecture.
Multi-Image Composition
Accepts up to 10 source images in a single request via imageUrlArray input, enabling product swaps, element copying, and multi-source compositing while maintaining lighting and perspective consistency.
Text Rendering in Images
Renders legible, correctly spelled text within generated images, including non-Latin scripts and varied font styles integrated into scenes like signs, posters, and packaging.
Aspect Ratio Control
Supports configurable aspect ratios including 1:1, 4:3, 3:4, 2:3, 3:2, 9:16, and 16:9, controlled via numeric parameters in the request.
High-Resolution Output
Produces images at resolutions up to 2048×2048 pixels, delivering 4-megapixel output suitable for print and production use cases.
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Get Started FreeCommon questions about Seedream 4.5
What is the context window for Seedream 4.5?
Seedream 4.5 supports a context window of 10,000 tokens, allowing for detailed and descriptive natural language prompts when generating or editing images.
What is the training data cutoff for Seedream 4.5?
Seedream 4.5 has a training date of December 2025, meaning its knowledge and visual training data extends through that period.
How many images can I reference in a single editing request?
You can reference up to 10 images in a single request using the imageUrlArray input, enabling complex multi-source compositing workflows.
What output resolutions and aspect ratios does Seedream 4.5 support?
The model supports output up to 2048×2048 pixels (4 megapixels) with configurable aspect ratios including 1:1, 4:3, 3:4, 2:3, 3:2, 9:16, and 16:9.
Who publishes Seedream 4.5 and where does it rank on benchmarks?
Seedream 4.5 is published by ByteDance. It ranks 10th globally on the LM Arena leaderboard with a score of 1147 as of its release.
What people think about Seedream 4.5
Community discussions around Seedream 4.5 show notable interest in its performance benchmarks, with a dedicated benchmark thread receiving 94 upvotes and 28 comments on r/singularity. Users have also run direct prompt comparisons between Seedream 4.5 and competing models, reflecting active interest in evaluating its output quality.
Some threads reference competing models reaching higher leaderboard positions after Seedream 4.5's release, suggesting the competitive landscape shifted quickly following its December 2025 launch. Discussions tend to focus on image quality comparisons and generation speed rather than editing or text rendering use cases.
bytedance dropped seedream 4.5, ran it against nano banana pro on same prompt
Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) takes #1 in Text to Image in the Artificial Analysis Image Arena at half the price of Nano Banana Pro!
Performance Benchmark Seedream 4.5
Qwen released Qwen-Image-2512 on Hugging face. Qwen-Image-2512 is currently the strongest open-source model.
Parameters & options
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