Seedream v4.7 Edit Sequential
ByteDance Seedream 4.7 image editing model with batch generation support. Produce a coherent set of edited images from reference inputs.
What it does
Seedream v4.7 Edit Sequential, in practice.
Seedream 4.7 Edit Sequential combines ByteDance Seed's Seedream 4.7 reference-based editing with group generation, exposed as the API model identifier bytedance/seedream-v4.7/edit-sequential. Given reference images and a natural-language instruction, it returns a coherent *set* of edited results rather than one — the same subject across several variations, all consistent with the references and with each other. This is the variant for work where one source asset must yield a family of outputs: a model photographed in several outfits, a product staged in several environments, a character carried through several panels. Consistency is enforced in two directions at once — against the reference
- Reference-Anchored Sets: Generates multiple edited images that stay faithful to the supplied references while varying along the axis the prompt describes.
- Dual Consistency: Holds identity and structure stable against the source images, and holds style, palette, and lighting stable across the generated group.
- Multi-Reference Input: Accepts up to 10 reference images per request as URLs or Base64, reasoning across them jointly.
- Combined Request Budget: Reference images and generated images share a single ceiling of 15 per request — a request with one reference can return up to 14 images. Requests exceeding the budget silently return fewer images rather than failing, so keep the sum at or below 15.
- Progressive Delivery with Fault Isolation: Images stream back as they complete, and a single moderation rejection does not discard the rest of the set.
- Full Resolution Range: Every image in the set may be generated at 1K, 2K, or 4K, or at explicit `WIDTH*HEIGHT` dimensions.
Run Seedream v4.7 Edit Sequential
from $0.045/imageParameters
What you can set.
| Parameter | What it does | Options |
|---|---|---|
images | The reference images to edit. A maximum of 10 reference images can be uploaded. | |
num_images | The maximum number of images to generate. The number of reference images plus the number of generated images must not exceed 15 - if the total is exceeded the model silently generates fewer images than requested. This value must align with | default 1 |
prompt | The positive prompt for the generation. | |
prompt_expansion_mode | Prompt expansion mode. 'standard' favours output quality; 'fast' lowers latency with a possible small quality trade-off. | standard fast |
size | Output image size in 'WIDTH*HEIGHT' pixels. Presets cover the 1K, 2K and 4K tiers. Total pixels (width x height) must be between 921,600 and 16,777,216; aspect ratio must be between 1:16 and 16:1. | 2048*2048 2304*1728 1728*2304 2848*1600 1600*2848 2496*1664 1664*2496 3136*1344 4096*4096 4704*3520 3520*4704 5504*3040 |
Sample prompt
The prompt behind the sample.
Transform the car into a transparent glass material.
enable_base64_output: num_images: 1prompt_expansion_mode: standardsize: 1280*720FAQ
Short answers.
How much does Seedream v4.7 Edit Sequential cost?
Pricing starts at $0.045 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 v4.7 Edit 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 v4.7 Edit Sequential for everything else it does well.
What does Seedream v4.7 Edit Sequential take as input?
It is a image editing model. ByteDance Seedream 4.7 image editing model with batch generation support. Produce a coherent set of edited images from reference inputs.
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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