- 1.8s at 2K
Generation speed
- Up to 4K
Resolution
- Up to 10
Reference images
- Up to 15
Images per request
About SeedDream 4
Seedream 4.0, released by ByteDance in September 2025, set a new benchmark for production-speed AI image generation. Its Diffusion Transformer (DiT) architecture with 12 billion parameters generates native 2K images in approximately 1.8 seconds (more than 10x faster than Seedream 3.0) while supporting 4K ultra-high-definition output for when maximum resolution is needed. That combination of speed and scale makes Seedream 4.0 the model of choice for creative teams running high-volume output: campaign batches, marketplace listings, variant sets, and rapid concept exploration where waiting 30 seconds per image breaks the creative loop. Beyond speed, Seedream 4.0 introduced a genuinely unified generation-and-editing architecture. The same model that creates images from text also handles virtual try-ons, background replacement, object removal, unwanted-text cleanup, and multi-image composition. Inputs can be text alone, images alone, or any combination, allowing for complex multi-image assembly workflows entirely within one pipeline. The visual reasoning capability adds a practical dimension for annotated diagrams, infographics, and layout-aware content: the model understands spatial relationships, text placement hierarchies, and compositional logic rather than treating every element as an independent texture. For marketing and product teams producing at volume, Seedream 4.0 compresses what used to be a multi-tool workflow into a single, fast model.
Prompts behind these SeedDream 4 images
Actual prompts from SeedDream 4 renders by the Masonry community. Copy any prompt, then remix it into your own creation.

a realistic Vogue magazine cover–style fashion portrait using the uploaded face as the original face reference (100% face identity preservation). A young elegant woman posing confidently, maintaining her original facial features and natural beauty. She is winking with her left eye and making a playful duck-face expression. Both hands are raised, forming a love/heart gesture near her face. She is surrounded by multiple DSLR cameras and smartphones held around her, as if paparazzi and photographers are capturing her from all directions. Some phones show her live image on their screens. Appearance & styling: flawless glowing skin, natural makeup with glossy pink lips, soft blush, subtle highlights. Light brown hair styled in a low, neat updo with a few loose strands. Outfit & accessories: elegant minimalist beige-white strapless evening dress, Louis Vuitton necklace, diamond ring, luxury fashion jewelry. Photography style: close-up to half-body fashion portrait, Vogue editorial aesthetic, cinematic professional studio lighting, soft HDR background, shallow depth of field, realistic skin texture, ultra-detailed, 8K quality. Camera & lens look: professional DSLR look, 85mm lens feel, f/1.8 aperture, crisp focus with smooth background bokeh. Composition: Vogue magazine layout with large bold logo at the top, editorial fashion cover framing, clean and elegant design. Mood & vibe: playful yet luxurious, high-fashion beauty editorial, realistic, not AI-looking, photographed by a professional fashion photographer.
Why teams choose SeedDream 4
Seedream 4.0 is the right model when throughput is the primary constraint. Its 1.8-second 2K generation speed means a 15-image batch completes in under half a minute, faster than most creative reviews. The 12-billion-parameter architecture maintains quality at that pace, capturing style, context, and spatial relationships with enough precision that outputs land close to production-ready rather than requiring extensive rework. The unified pipeline, with generation, editing, try-on, and composition all in one model, removes the tool-switching overhead that accumulates in high-volume creative workflows. For teams producing hundreds of assets per week, that operational consolidation compounds into meaningful time savings.
What SeedDream 4 can do
The capabilities that set SeedDream 4 apart and earn its place in a brief
1.8-Second 2K Generation
Generates native 2K images in approximately 1.8 seconds and supports 4K output for maximum detail, over 10x faster than Seedream 3.0 and fast enough for real-time creative iteration without breaking concentration or workflow rhythm.
Unified Generation and Editing
One model handles text-to-image creation, image-to-image translation, virtual try-ons, object removal, background replacement, unwanted-text cleanup, and multi-image composition, eliminating handoffs between separate generation and editing tools.
12-Billion-Parameter Visual Reasoning
The 12-billion-parameter architecture understands spatial relationships, compositional logic, and text placement hierarchies, not just pattern matching. It can follow complex layout instructions, assemble multi-element scenes accurately, and reason through visual puzzles in a way that benefits annotated and diagram-heavy creative work.
Batch Campaign Production
Generate a coordinated batch in a single pass of up to 15 images per request (reference inputs and outputs combined), the fastest route to a complete on-brand campaign asset set, from hero image through social variants, with consistent visual identity throughout.
Multi-Mode Input Flexibility
Accepts text, images, or any combination as input, enabling single-image editing, multi-image composition, and reference-driven generation, all without changing models or switching between services.
Commercial-Grade Speed for High-Volume Output
1.8-second per-image generation turns large batch jobs (50-image marketplace listings, 20-variant ad creative sets, multi-locale campaign imagery) from overnight queues into same-session tasks, supporting production schedules that traditional AI generation timelines cannot match.
Where teams reach for SeedDream 4
- High-volume e-commerce product photography across large SKU catalogs
- Virtual try-on for fashion and apparel brands
- Rapid concept iteration and creative exploration during campaign development
- Batch generation of social and display ad variants from a single brief
- Multi-image assembly for scene compositing and product-in-context imagery
- Background replacement and object removal as part of an existing asset workflow
- Annotated diagrams and infographic imagery requiring layout-aware generation
- Campaign shoots requiring consistent model identity across multiple garment SKUs
What sets SeedDream 4 apart
The strengths teams reach for, shown on real renders.

Blazing Fast Iteration
Generate 2K images in 1.8 seconds, over 10x faster than its predecessor, so creative teams can explore dozens of variants in the time it takes competitors to produce a few.

Batch Campaign Production
Generate a coordinated batch in a single request of up to 15 images total (references plus outputs), the fastest way to produce a complete set of on-brand campaign assets at scale.

Unified Generation and Editing
One model handles text-to-image creation, virtual try-ons, background replacement, object removal, and text cleanup, eliminating the need for separate tools in your production workflow.
Frequently asked questions
What teams need to know about creating with SeedDream 4 in Masonry
How fast is Seedream 4.0 compared to other AI image models?
Seedream 4.0 generates native 2K images in approximately 1.8 seconds, over 10x faster than Seedream 3.0 and substantially faster than most competing models at equivalent quality. At 4K resolution generation takes longer, but the 2K speed is what makes high-volume batch production practical in a single working session rather than an overnight queue.
What is the maximum batch size Seedream 4.0 can produce in one request?
Seedream 4.0 caps the total images per request (reference inputs plus generated outputs) at 15, and accepts up to 10 reference images as input. For a campaign team, this means supplying a brief and a handful of reference assets and receiving a full variant set (hero, lifestyle, detail, and social formats) in a single pass, rather than queuing individual generations.
How does Seedream 4.0's visual reasoning differ from standard image generation?
Most image models pattern-match from prompts to pixel distributions. Seedream 4.0's 12-billion-parameter architecture incorporates commonsense reasoning, meaning it understands spatial relationships, compositional logic, and layout hierarchies. This is practically useful for annotated diagrams, infographic-style imagery, and complex scene assembly, outputs where element placement and relative scale matter, not just overall aesthetics.
What editing operations can Seedream 4.0 perform within its unified pipeline?
Seedream 4.0 handles virtual try-on (placing reference garments on a model), background replacement, object removal, unwanted-text cleanup, image-to-image translation, and multi-image composition. All of these run in the same model as text-to-image generation, so you do not need a separate editing service or upload workflow. For production teams, this eliminates the tool-switching overhead that accumulates across a high-volume project.
How does Seedream 4.0 compare to Seedream 4.5, and which should I use?
Seedream 4.0 is optimized for speed and throughput, the right choice when you need large volumes of good-quality images fast. Seedream 4.5 is the refined quality version, with better lighting, more accurate typography at scale, and expanded editing features (including inpainting and outpainting). Both accept up to 10 reference images. If your primary constraint is time-to-asset, choose 4.0; if it's final output quality for hero creative, choose 4.5.
Can Seedream 4.0 be used for virtual try-on in fashion e-commerce?
Yes. Seedream 4.0 can place reference garments onto a model with accurate spatial and lighting integration, making it practical for apparel e-commerce where producing on-model photography for every SKU is cost-prohibitive. The multi-reference input support means you can supply both the garment image and a model reference, and the model composes them coherently. For character consistency across a full lookbook, supply the model reference as a locked input across the batch.
Does Seedream 4.0 support multi-image input for complex scene assembly?
Yes. Seedream 4.0 accepts text, images, or any combination as input. You can supply multiple product images, a background reference, and a lighting reference simultaneously, and the model assembles them into a composed scene. This is useful for product-in-context imagery, lifestyle composites, and multi-element advertising scenes where the source assets exist but need to be combined rather than generated from scratch.
How does Seedream 4.0 compare to Nano Banana models for high-volume creative production?
Seedream 4.0 and Nano Banana models occupy adjacent performance tiers. Seedream 4.0's comparative strength is its unified generation-and-editing pipeline (one model handles the full workflow) and its batch throughput of up to 15 outputs per request. Nano Banana models typically offer different stylistic flexibility trade-offs. For teams that need both generation and editing in one model without managing separate services, Seedream 4.0's pipeline integration is a meaningful operational advantage.
Is Seedream 4.0 output cleared for commercial use?
On paid Masonry plans, Seedream 4.0 outputs are available for commercial use including advertising, marketing materials, e-commerce imagery, and brand assets. ByteDance's model usage terms govern the underlying generation. As with all AI-generated commercial assets, particularly those depicting identifiable individuals, appropriate legal review for the specific use case is advisable before publication.
What resolution does Seedream 4.0 support and when does 4K make sense?
Seedream 4.0 supports native output up to 4K (4096×4096). The 2K mode at 1.8 seconds per image is suitable for digital advertising, social media, and web use cases where screen pixel density is the limiting factor. 4K mode is appropriate for print applications (packaging, large-format banners, point-of-sale materials) where physical reproduction quality demands higher native resolution. For a typical campaign workflow, generating concepts at 2K and only rendering finals at 4K is an efficient approach.
What is SeedDream 4?
SeedDream 4 is an AI image generation model from ByteDance, available inside Masonry, the AI creative agent teams use to produce marketing, product, and brand images.
How does my team use SeedDream 4 in Masonry?
Open a Masonry canvas, pick SeedDream 4 from the model selector, and describe the image you need: a product shot, an ad creative, a social post. Masonry generates it, then you refine, edit, and combine SeedDream 4 with other models in one workspace.
Is SeedDream 4 free to try?
Yes, you can start generating images with SeedDream 4 on Masonry's free tier, then scale up with higher limits and priority processing as your team grows.
How do I write good prompts for SeedDream 4?
Seedream 4 rewards specific, structured prompts. Lead with the subject, then describe lighting, camera, and background separately, and use its editing mode to refine a result instead of re-rolling from scratch. See the prompt gallery on this page for real SeedDream 4 prompts you can copy and adapt.
Who makes SeedDream 4?
SeedDream 4 is built by ByteDance. Inside Masonry it runs alongside 50+ image and video models, so your team can pick the right one for each brief without switching tools.
Can I see examples made with SeedDream 4?
Yes, the prompt gallery on this page shows real images teams have generated with SeedDream 4 in Masonry, each paired with the exact prompt you can copy and adapt for your own brand.
Start creating with SeedDream 4
Generate, edit, and compare across 50+ models in one workspace.
Guides for SeedDream 4
Prompt walkthroughs and examples from the Masonry blog
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