Text-to-Image Generation
Generates images from text prompts using a context window of up to 10,000 tokens, allowing detailed scene descriptions.
Seedream 4.0 is an image generation model developed by ByteDance, designed to produce images from text prompts and source image inputs. It supports a context window of 10,000 tokens and accepts image URL arrays alongside numerical parameters, enabling flexible control over generation behavior. The model is part of ByteDance's Seedream series and is available through MindStudio's model catalog. Seedream 4.0 is best suited for workflows that require image generation guided by reference images, making it useful for tasks like style transfer, image variation, and visually consistent content creation. Its support for source image inputs distinguishes it from purely text-to-image pipelines, allowing users to anchor outputs to existing visual references. Developers can integrate it into MindStudio applications without managing separate API keys.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for Seedream 4.0.
Seedream 4.0 is an image generation model developed by ByteDance, designed to produce images from text prompts and source image inputs. It supports a context window of 10,000 tokens and accepts image URL arrays alongside numerical parameters, enabling flexible control over generation behavior. The model is part of ByteDance's Seedream series and is available through MindStudio's model catalog.
Seedream 4.0 is best suited for workflows that require image generation guided by reference images, making it useful for tasks like style transfer, image variation, and visually consistent content creation. Its support for source image inputs distinguishes it from purely text-to-image pipelines, allowing users to anchor outputs to existing visual references. Developers can integrate it into MindStudio applications without managing separate API keys.
Generates images from text prompts using a context window of up to 10,000 tokens, allowing detailed scene descriptions.
Accepts an array of image URLs as reference inputs, enabling image-guided generation such as style transfer or visual variation.
Supports two numerical input parameters that allow developers to adjust generation settings such as steps or guidance scale.
Processes up to 10,000 tokens of input context, supporting lengthy and detailed prompt descriptions.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Places where this model is available, based on the synced detail-page metadata.
The configurable options currently documented for this model.
The size of the generated media, supporting up to 4K resolution for images. If you need to match the size of an existing image, you must explicitly specify the dimensions, as automatic resizing to match the image is not supported.
Parameters currently listed by OpenRouter or the local catalog for this model.
Official model cards, release notes, docs, and other references synced from the source page.
Seedream 4.0 discussions are most active in r/Crappy_Art_With_Audio, r/aiArt, r/Bard. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions.
The strongest match in this snapshot has 531 upvotes and 238 comments.
Compared to this, Nano Banana is doing 1024 × 1024px. That's only One Megapixels. And most other models are capped at 2K with only Image Generation and not Image Editing using Input Image as reference. Can any other AI even catch up to Seedream 4.0's resolution? They'll have to train their models on higher resolution dataset which I don't think most companies will invest their resources in. Is it possible we'll see other 4K generation models in future as well or does Seedream seems like the only option?
Need advice.
1,2 photos (SeeDream 4.5)
3 photo (SeeDream 4.0)
Currently running an Instagram page, which started on the SeeDream 4.0 model. The problem is that 4.5 model, in my opinion, is much better at the environment creation, but sometimes jumping from one face to another even when the same seed is used (Guessing maybe it is because I do use a seed from SeeDeam 4.0)
Now can't decide with which "Influencer" to stick 4.0 generated that soft, feminine and younger face, which I think is better for Instagram reach since people are perverted and with crazy fetishes, but the photos look more AI-generated than with SeeDream 4.5, which gives more natural skin tones and better enviroment
Short summary:
1st and 2nd photos (Seedeam 4.5) get more reach, engagment and can make more sales or 3rd photo with younger and more femine look (SeeDream 4.0)
I think it's a new model aince yupp charges extra for it, while all others (fal replicate, wavespeed etc.) charge the same regardless of the output resolution. but i could be wrong.
edit: come join /r/aivideomaking if you want to the latest on ai video generation
Seedream 4.0 supports a context window of 10,000 tokens.
The model accepts an array of image URLs (imageUrlArray) and two numerical parameters, in addition to text prompts.
Seedream 4.0 was developed by ByteDance.
No. Seedream 4.0 is available through MindStudio without requiring a separate API key.
The training date for Seedream 4.0 is not publicly specified in the available metadata.
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