SeedDream 4.5

Seedream 4.5 generates images natively at up to 4096×4096 pixels (4K). This is a true native output resolution, not an upscaled result, meaning full detail is present without the softening or artifact risk that comes from post-hoc upscaling. That makes it suitable for full-bleed print, large-format banners, and high-density display advertising without any additional processing step.

The most significant differences are in visual refinement and editing depth. Seedream 4.5 produces noticeably more nuanced lighting, shadow, and texture rendering, particularly for complex surfaces like fabric, skin, and glass. Its typography is more reliable at large sizes. And it adds inpainting, outpainting, and object replacement directly in the unified model, whereas Seedream 4.0 handled editing more broadly. For production teams, this translates to fewer revision cycles and less post-processing.

Seedream 4.5 accepts up to 10 reference images to lock visual identity across a batch (faces, product shapes, brand colors, spatial relationships) with a combined cap of 15 images (inputs plus outputs) per request. In practice it lets you run a full campaign series, including a hero shot, lifestyle scene, closeup detail, and social variants, with consistent identity throughout, without manual reconciliation between frames.

Yes. Seedream 4.5 supports accurate text rendering in both English and Chinese (Simplified), and the typography holds character shapes reliably at larger poster sizes. It respects prompt-weight hierarchies so headlines stay visually dominant relative to supporting copy. For campaigns with bilingual audiences or packaging that requires both scripts, this is a practical advantage over models that handle only Latin characters well.

The unified model handles text-to-image generation, image-to-image translation, inpainting (fixing or replacing areas within an image), outpainting (extending the canvas), background replacement, object removal, and virtual try-on (placing garments on a model from reference clothing images). All of these run in the same model, so you are not switching between generation and editing services, which reduces handoff friction in production workflows.

Yes. Seedream 4.5 can place reference garments onto a model with convincing spatial and lighting integration, making it practical for fashion lookbook production and e-commerce apparel imagery. Combined with the multi-reference identity lock, you can run a consistent model identity across a full product range (different garments, same face and proportions) which is a workflow typically requiring expensive on-set photography or complex compositing.

Seedream 4.5 has a strong multi-reference consistency system (up to 10 reference images) and native bilingual text rendering. Nano Banana models typically excel at speed and stylistic flexibility, while Flux-family models are known for prompt adherence. Seedream 4.5's comparative strength is production-pipeline integration (generation, editing, virtual try-on, and inpainting all in one model) plus its native 4K ceiling without upscaling.

On paid Masonry plans, output from Seedream 4.5 can be used for commercial purposes including advertising, marketing collateral, e-commerce, and brand assets. ByteDance's terms apply to the underlying model. As with any AI-generated asset used in commercial work, conducting appropriate legal review for your specific use case, particularly for outputs depicting identifiable people or trademarked materials, is advisable before publication.

Seedream 4.5 produces raster image outputs (PNG and JPEG). It does not natively produce vector formats like SVG. For vector output, Recraft V3 on Masonry is the appropriate model. For business workflows that need print-ready files, the 4K native resolution means PNG exports are large enough for most print applications without intermediate format conversion.

Yes, and batch throughput is one of its core strengths in commercial workflows. The model can generate multiple coordinated outputs in a single pass while holding visual consistency through reference locks, making it well suited to campaigns that need a hero image, three social variants, a banner, and a product-detail shot all reading as one cohesive creative, rather than generating each individually and reconciling them afterward.

Inpainting lets you define a masked region within an existing image (a background element to remove, a product label to replace, a person to swap out) and the model regenerates only that region, blending seamlessly with the surrounding context. In practice this replaces several rounds of Photoshop retouching for common production corrections, particularly useful when fixing AI artifacts in a high-quality output rather than re-generating from scratch and losing everything else that worked.

SeedDream 4.5 is an AI image generation model from ByteDance, available inside Masonry, the AI creative agent teams use to produce marketing, product, and brand images.

Open a Masonry canvas, pick SeedDream 4.5 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 4.5 with other models in one workspace.

Yes, you can start generating images with SeedDream 4.5 on Masonry's free tier, then scale up with higher limits and priority processing as your team grows.

SeedDream 4.5 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.

Yes, the prompt gallery on this page shows real images teams have generated with SeedDream 4.5 in Masonry, each paired with the exact prompt you can copy and adapt for your own brand.