A beginner's guide to the Seedream-4 model by Bytedance on Replicate

#coding #ai #machinelearning #programming

This is a simplified guide to an AI model called Seedream-4 maintained by Bytedance. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

seedream-4 represents ByteDance's latest advancement in text-to-image generation, delivering unified capabilities for both creating images from scratch and making precise single-sentence edits at resolutions up to 4K. This model builds upon ByteDance's previous work, offering significant improvements over seedream-3 with enhanced resolution capabilities and more sophisticated editing features. Unlike the 4-step speed optimization of sdxl-lightning-4step, this model prioritizes quality and precision, while complementing the specialized editing capabilities found in seededit-3.0.

Model inputs and outputs

The model accepts text prompts for generation along with optional input images for image-to-image workflows. Users can specify output resolutions from 1K to 4K, choose from multiple aspect ratios, and enable sequential image generation for creating related image series. The system supports multi-reference generation using up to 10 input images and can produce up to 15 images total in sequential mode.

Inputs

prompt: Text description for image generation or editing instructions
image_input: Optional list of 1-10 input images for image-to-image generation
size: Resolution selection (1K, 2K, 4K, or custom dimensions)
aspect_ratio: Ratio options including match input image, standard ratios like 16:9, 1:1, and ultrawide 21:9
sequential_image_generation: Mode to generate single images or multiple related images automatically
max_images: Control for limiting output when using sequential generation (1-15 images)
width/height: Custom dimensions when using custom size option (1024-4096 pixels)