SeedDream 4.5

Up to 4K. Choose from 10 preset sizes, from 2048 by 2048 square to a 3136 by 1344 ultra-wide banner, or set an exact size up to 4K. Check the pixel size of the downloaded file before sending it to print.

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. Both versions edit from reference images in Masonry, 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) Each request returns one image, and Masonry runs more requests when you ask for several variations. 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.

In Masonry it handles text-to-image generation and reference-based editing with up to 10 images, such as restyling, blending references, swapping a background described in the prompt, or placing a garment from a reference image. Masked inpainting and outpainting are not part of the Masonry route. 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, reference editing, and virtual try-on in one model).

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, use Recraft V4 Vector or Ideogram Vector on Masonry.

Yes. Each request returns one image, and Masonry runs a request per variation, while the same reference images hold the look across the set. That makes 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, without reconciling mismatched looks afterward.

Not on the Masonry route, which takes a prompt and up to 10 reference images but no mask. Describe the change in the prompt and supply the original as a reference, or use a model with inpainting on its Masonry route, such as Nano Banana 2 or Nano Banana Pro.

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.

New Masonry accounts get 50 free credits to try GPT Image 2.5 Flare. SeedDream 4.5 is included in every paid plan, and the editor shows the exact credit cost before you generate.

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.