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bytedance / seedream-v4

Seedream 4.0 is a next-generation image creation model that unifies generation and editing in a single architecture, enabling advanced multimodal reasoning and reference consistency while delivering stunning 4K images with significantly faster inference.

Official
0.03

Model Input

Input

Text prompt for image generation

  • https://media.modelrunner.ai/3Dd4AUBEpOyCFzOs

Input image(s) for image-to-image generation. List of 1-10 images for single or multi-reference generation.

Additional Settings

Customize your input with more control.

Image resolution: 1K (1024px), 2K (2048px), 4K (4096px), or 'custom' for specific dimensions.

Min: 1024 - Max: 4096

Custom image width (only used when size='custom'). Range: 1024-4096 pixels.

Min: 1024 - Max: 4096

Custom image height (only used when size='custom'). Range: 1024-4096 pixels.

Image aspect ratio. Only used when size is not 'custom'. Use 'match_input_image' to automatically match the input image's aspect ratio.

Group image generation mode. 'disabled' generates a single image. 'auto' lets the model decide whether to generate multiple related images (e.g., story scenes, character variations).

Min: 1 - Max: 15

If set to a number greater than one, enables multi-image generation. The model will potentially return up to max_images images every generation.

Min: -1 - Max: 2147483647

Random seed for the model. If set to -1, a random seed will be used.

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Model Output

Output

preview
Generated in 24.141 seconds
Logs (1 lines)

Model Example Requests

Examples

tvDwqqHeg32rc4p1An7QJcmyb9uWv9kAn3sSRduhk4

Model Details

Model Details

# Seedream 4.0 User Guide

Seedream 4.0 is a next-generation image creation model that integrates **text-to-image generation, image editing, reference-based generation, and multi-image creation** into a single unified architecture. Compared with its predecessor, Seedream 3.0, Seedream 4.0 delivers **significantly faster inference speeds**, sharper rendering, and the ability to produce **high-definition images up to 4K resolution**.

This makes it a versatile tool for both creative professionals and technical users, capable of handling tasks that require **knowledge-based reasoning, reference consistency, and stylistic precision**.

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## General Guidelines

For best results when using Seedream 4.0, follow these practices:

1. **Describe scenes naturally** Use subject + action + environment, plus style keywords if needed. - ✅ *“A girl in a lavish dress walking under a parasol along a tree-lined path, in the style of a Monet oil painting.”* - ⚠️ *“Girl, umbrella, tree-lined street, oil painting texture.”*

2. **Clarify your purpose** State the application scenario (logo, poster, storyboard, etc.). - ✅ *“Design a logo for a gaming company. The logo features a dog playing with a game controller. The company name `PITBULL` is written on it.”*

3. **Use precise style cues** Apply keywords or reference images for stylistic consistency.

4. **Render text with accuracy** Place important text inside **quotation marks**. - ✅ *“Generate a poster with the title `Seedream 4.0`.”*

5. **Give clear editing instructions** Specify the element to change and what should stay the same. - ✅ *“Dress the tallest panda in pink Peking Opera costume, keeping its pose unchanged.”*

> 💡 **Tip:** Compared with Seedream 3.0, the new version understands prompts better. Use **concise and precise prompts** instead of stacking excessive adjectives.

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## Key Capabilities

### 1. Text-to-Image - Generate scenes, artworks, or technical visuals from natural language. - Strong in **knowledge-based illustrations** (formulas, diagrams, education). - Use cases: **artworks, posters, product design, educational visuals, marketing assets.**

### 2. Image-to-Image & Editing - Perform **addition, deletion, replacement, or modification** with prompts. - Supports **arrows, bounding boxes, and doodles** to mark editing regions. - Use cases: **product photography edits, ad revisions, character redesigns.**

### 3. Reference-Based Generation - Extract **style, identity, or product features** from a reference image. - Works for **character continuity, brand design, and style transfer.** - Can transform sketches or floor plans into **photorealistic results or UI mockups.**

### 4. Multi-Image Input & Output - Combine images for **subject replacement, style transfer, or composite editing.** - Generate **series of images with consistent characters and style.** - Use cases: **storyboarding, emoji packs, comic creation, IP product sets.**

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## Example Use Cases

- 🎨 **Creative Design** – Generate multiple logo variations for brand identity. - 📘 **Education** – Convert formulas or scientific concepts into clear diagrams. - 🎬 **Entertainment** – Create a storyboard with consistent characters across panels. - 🏡 **Interior Design** – Turn sketches or floor plans into photorealistic rooms. - 📢 **Marketing** – Design posters, ads, and banners with accurate text rendering. - 🎮 **Gaming & Animation** – Keep character design consistent across poses and scenes.

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## Tips for Better Results

- Start with a **short, clear prompt** → refine step by step. - Avoid vague pronouns like *“this”* or *“that one”*. - Use **reference images** when continuity or style consistency is important. - For text, always use **double quotes**. - When editing, explicitly state what must stay unchanged.