Seedream v4 Sequential
Open and Advanced Large-Scale Image Generative Models.
What it does
Seedream v4 Sequential, in practice.
Seedream 4 is a powerful, efficient, and high-performance multimodal image generation system that unifies text-to-image (T2I) synthesis, image editing, and multi-image composition within a single, integrated framework. Engineered for scalability and efficiency, the model introduces a novel diffusion transformer (DiT) architecture combined with a powerful Variational Autoencoder (VAE). This design enables the fast generation of native high-resolution images up to 4K, while significantly reducing computational requirements compared to its predecessors. The primary goal of Seedream 4 is to extend traditional T2I systems into a more interactive and multidimensional creative tool. It is designed
- Unified Multimodal Architecture: It integrates T2I generation, image editing, and multi-image composition into a single model, allowing for seamless transitions between different creative workflows.
- Efficient and Scalable Design: The model features a highly efficient DiT backbone and a high-compression VAE, achieving over 10x inference acceleration compared to Seedream 3.0 while delivering superior performance. This architecture is hardware-friendly and easily scalable.
- Ultra-Fast, High-Resolution Output: Seedream 4 can generate native high-resolution images (from 1K to 4K) in as little as 1.4 to 1.8 seconds for a 2K image, greatly enhancing user interaction and production efficiency.
- Advanced Multimodal Capabilities: The model excels at complex tasks such as precise, instruction-based image editing, in-context reasoning, and generating new images by blending elements from multiple reference images.
- Professional and Knowledge-Based Content Generation: Beyond artistic imagery, Seedream 4 can generate structured and knowledge-based content, including charts, mathematical formulas, and professional design materials, bridging the gap between creative expression and practical application.
- Advanced Training and Acceleration: The model is pre-trained on billions of text-image pairs and utilizes a multi-stage post-training process (CT, SFT, RLHF) to enhance its capabilities. Inference is accelerated through a combination of adversarial distillation, quantization, and speculative decoding.
Run Seedream v4 Sequential
from $0.041/imageParameters
What you can set.
| Parameter | What it does | Options |
|---|---|---|
max_images | The number of images to generate. max 14 | default 1 |
prompt | The prompt to generate an image from. | |
size | The size of the generated media in pixels (width*height). | default 2048*2048 |
Sample prompt
The prompt behind the sample.
Generate a set of 4 consecutive illustrations, detailing the life cycle of a butterfly, from a tiny egg on a leaf, to a caterpillar, then to a chrysalis, and finally to a beautiful butterfly.
size: 2048*2048max_images: 4enable_sync_mode: enable_base64_output: FAQ
Short answers.
How much does Seedream v4 Sequential cost?
Pricing starts at $0.041 per image at the base resolution; higher resolutions and longer durations cost more. Usage is billed per request from your balance — no subscription.
Does Seedream v4 Sequential run uncensored here?
No. ByteDance applies its own content policy to this model regardless of where it is called from. For a route without an extra platform filter use Uncensored MiniMax H3; this page lists Seedream v4 Sequential for everything else it does well.
What does Seedream v4 Sequential take as input?
It is a text-to-image model. Open and Advanced Large-Scale Image Generative Models.
How do I use it?
Enter an invite code to open Chat with the model loaded, or join the waitlist. We open seats in batches and track which models are requested most.
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