1. Overview
Seedream 4 is ByteDance’s latest generation AI model for image creation and editing.
Unlike traditional models that simply generate pictures, Seedream 4 unifies text‑to‑image synthesis, reference‑based editing and batch image creation in a single system. Its mixture‑of‑experts architecture delivers high‑resolution 2K images and can upscale to 4K. The model accepts up to 10 reference images and can output up to 15 matching images simultaneously, ensuring consistent characters and styles across a series.
Seedream 4 is designed to compete with Google DeepMind’s Nano‑Banana and other state‑of‑the‑art image models. Its strengths lie in high-res generation, multi‑modal editing, natural‑language control and batch creation. This section summarises the model’s core capabilities, provides prompt‑writing best practices and shows dozens of real‑world examples to help you get the most out of Seedream 4 on Scenario
2. Key Strengths and Core Capabilities
2.1 High‑Resolution Generation
Seedream 4 leverages a mixture‑of‑experts architecture to produce images with up to 4K resolution. This speed makes iterative edits practical and reduces waiting times for creative work.
2.2 Multi‑Modal Image Generation and Natural‑Language Editing
Seedream 4 combines text‑to‑image generation, image editing and enhancement in one tool. You can describe changes in plain language—e.g., “add a helmet,” “remove the background” or “replace the outfit”—and the model performs the edits directly. It features precise instruction editing, high feature retention and deep understanding ability. Natural‑language editing allows you to replace backgrounds, adjust clothing or change styles with simple descriptions.
2.3 Multi‑Reference and Batch Generation
Seedream 4 accepts up to ten reference images to guide style, composition or character identity, and it can output up to nine coherent images in a single run. This multi‑reference capability helps maintain consistency across multiple angles or scenes. Its batch generation technology can produce several variations of a scene simultaneously while preserving overall style and theme. You can generate multiple images in sequences with the same prompt.
2.4 Character Consistency and Style Transformation
Seedream 4 is adept at preserving character identity across different artistic styles. Five major highlights include high feature retention and deep understanding ability, enabling the model to maintain characters while changing styles. The system ensures character consistency even when switching styles. Users can transform a photo into anime, LEGO or Pixar style while retaining core composition.
2.5 Environment and Perspective Control
The model can modify environments, lighting and camera perspectives without reshooting. For example, you can add dramatic elements like a towering creature to a cityscape while preserving the underlying structure, turn a sunny town into a warm golden‑hour sunset, or switch the viewpoint to a fisheye overhead or worm’s‑eye perspective while keeping subjects consistent.
2.6 Object Manipulation and Text Editing
Seedream 4 allows seamless object addition, removal and replacement. It supports natural‑language editing, style transfer and batch creation within one model, offering capabilities beyond models focused solely on local edits. Supported editing operations include object addition and deletion, attribute changes, style changes and structural adjustments (e.g., face swapping). The model also supports text editing—changing signs or adding handwritten invitations—while maintaining font, colour and style.
2.7 Restoration, Enhancement and Zoom
Seedream 4 can restore and enhance details. A user restored and colourised an old photo and zoomed it into landscape format; the AI delivered high‑quality restoration and accurate colourisation. Another example shows the model zooming in on a man fishing while keeping style and composition consistent.
2.8 Batch Processing and Multi‑Image Sequences
Beyond single images, Seedream 4 produces whole sets of related images—ideal for storyboards or product catalogues. You can trigger batch mode with words like “series” or “set”. The model generates up to nine images at once, useful for comics, marketing campaigns or mood boards, and can generate multiple images in sequences.
2.9 Prompt‑Writing Guidance and Deep Understanding
A useful prompt formula is “action + object + target feature.” The model’s deep understanding allows it to interpret abstract and imaginative descriptions—users can prompt it with creative requests and expect coherent results. A problem self‑check helps identify issues like incorrect instructions or missing details, encouraging you to refine prompts.
3. Use Cases and Applications
Seedream 4’s versatility makes it valuable across creative industries.
E‑commerce & Advertising – Brands can produce product variations, lifestyle shots and advertising visuals with consistent style. Flux notes that users can quickly generate product display and promotional images.
Storyboard & Comic Creation – Generate coherent sequences of images for narratives or shot planning. Batch generation reduces manual editing time.
Design & Concept Art – Upload sketches or photos and ask the model to refine the scene, adjust lighting or change styles. This is useful for interior design, architectural renderings and concept development.
Fan Art & Illustration – Combine multiple references and maintain character identities to create stylised portraits or anime‑style art.
Marketing Visuals & Content Creation – Flux highlights that Seedream 4 supports blogs, social media and short video content. It’s ideal for campaign posters, mood boards and quick iterations.
4. Prompt‑Writing Best Practices
To unlock Seedream 4’s full potential on Scenario, follow these prompt‑engineering guidelines:
Use “action + object + attributes”: Specify the transformation (add/remove/change), the target element and the desired characteristics. Example: “Add a golden helmet to the knight.”
Upload reference images: Provide up to ten images to anchor identity and style. When blending multiple references, mention which elements come from which image.
Trigger batch creation: Include phrases like “series,” “set,” or “generate a series of four product mockups” to instruct the model to produce multiple related images.
Include style descriptors: Seedream supports a wide range of styles. Specify art movements, lighting conditions or medium (e.g., “in ukiyo‑e style,” “cyberpunk lighting,” or “watercolor illustration”).
Iterate and refine: Generate a base image, then issue follow‑up prompts such as “reduce glare on the surface” or “adjust lighting to sunset warm”. Iterative edits often yield better results than a single complicated prompt.
Specify what must stay unchanged: To preserve identity and important elements, explicitly state constraints—e.g., “Keep the woman’s facial features and clothing unchanged while changing the background”.
Write clear, specific descriptions: Flux recommends precise descriptions when editing backgrounds, clothing or styles. Avoid ambiguity to help the model understand your intent.
Check for common issues: WaveSpeed suggests reviewing your prompt for incorrect instructions, missing details or redundant descriptions and refining accordingly.
5. Examples and Output Analysis
Seedream 4 demonstrates exceptional versatility across diverse creative applications. The following examples illustrate key capabilities:
5.1 - Multi-Reference Scene Composition
Scenario: Creating a cohesive scene from multiple reference elements Prompt: "Create a sequence of five images featuring the same exact character: in Monaco, at a lively party with others, winning at the casino, and relaxing with a drink. Keep the exact same illustrated style." Approach: Upload multiple reference images showing different scenes and characters, then use batch generation to create a consistent narrative sequence.
The model analyzes spatial relationships between reference elements and generates scenes that seamlessly integrate multiple concepts while maintaining character consistency across the sequence.
5.2 - Style Transformation and Consistency
Scenario: Converting photorealistic content to stylized artwork Prompt: "Transform this scene into anime style while preserving the character's features and composition" Result: Seedream 4 maintains core compositional elements while applying the requested artistic style, demonstrating its ability to balance transformation with preservation.
5.3 - Environmental and Temporal Modifications
Scenario: Changing scene context and atmosphere Prompt: "Change this daytime street scene to golden hour sunset with warm lighting" Capability: The model adjusts lighting, shadows, and atmospheric elements while preserving architectural details and scene structure.
5.4 - Text Integration and Editing
Scenario: Professional signage and typography work Prompt: "Change the store sign from 'OPEN' to 'CLOSED' maintaining the same font and neon effect" Strength: Seedream 4 preserves typographic styling, colors, and visual effects while making precise textual changes, enabling professional-quality design modifications.
6. Getting Started with Seedream 4 in Scenario
Seedream 4 is accessible via Scenario’s AI image generation interface (subject to availability). To generate or edit images with Seedream 4:
Open the Create » Generate Images tab in Scenario. In the model selection dropdown, choose Seedream 4.
Choose your input method:
Text‑to‑Image: Enter a detailed prompt following the best practices above.
Image Editing: Upload one or more reference images (up to ten) for single‑ or multi‑reference generation. Provide a prompt describing the edits—e.g., “Remove the background and replace it with a futuristic cityscape; keep the character’s outfit unchanged.”
Configure generation settings: Choose an aspect ratio (e.g., 16:9) or select Auto to match your input image’s aspect ratio. Pick the resolution—1K (1024 px), 2K (2048 px) or 4K (4096 px)—or set Custom to specify the width and height manually (ranges from 1,024 to 4,096 pixels). Use the Generate Multiple Outputs toggle to switch between single‑image mode (Off) and sequence mode (On [Sequence]), where the model produces a set of related images (story steps, variations or alternatives). Adjust the Max Image Count slider to control how many images are generated in a sequence (the total number of input plus generated images must not exceed 15).
Generate and iterate: Click Generate to produce images. Review the results and refine your prompt as needed. Use Scenario’s asset management tools to organise outputs and share them with collaborators.
7. Conclusion
Seedream 4 represents a significant leap in AI‑powered image creation. Its multi‑modal editing, multi‑reference handling and batch generation empower creators to iterate rapidly and maintain consistency across campaigns.
Unlike models focused solely on local edits, Seedream 4 prioritises creative flexibility, supporting drastic style transformations, complex scene modifications and storyboarding workflows. It offers consistent character preservation and deep prompt understanding, making it a promising tool for filmmakers, illustrators, marketers and designers once publicly released.
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