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Home/Explore/ByteDance/Seedream V4/Edit

Seedream V4 Edit

bytedance /

Seedream V4 Edit is state-of-the-art image editing model that outperforms Nano Banana in fidelity and edit quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Input

Drag & drop or click to upload

preview
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Idle

Turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. Set the scene indoors if possible.

$0.027per run·~37 / $1

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ExamplesView all

Turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. Set the scene indoors if possible.

Turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. Set the scene indoors if possible.

Change the perspective from a level view to a top-down view, and adjust the foreground to a midground.

Change the perspective from a level view to a top-down view, and adjust the foreground to a midground.

Combine the woman from Figure 1 and the man from Figure 2 into a single image, referencing the pose in Figure 3.

Combine the woman from Figure 1 and the man from Figure 2 into a single image, referencing the pose in Figure 3.

Create a high quality look real face hyper-realistic 1/7 scale commercialized figure of the illustrated character, rendered in a real life . The figure is displayed on a clear crystal placed at the center of an artist’s messy modeling studio hot chic lady fashion desk. Surrounding the figure are tools of the creative hot trend style and young fresh lady dress : brushes, paint jars, crystal and flowers , and scattered sketches. On a macbook laptop screen, the ZBrush modeling process of the figure is displayed vividly, showing the digital sculpt in progress. Next to the screen stands a premium toy packaging box, printed with the original artwork stylus letters: HARRY LOUIS Lighting is fresh hot trending fashion gentlemonster glasses lady style, with a bright key light illuminating the figure, rim lights highlighting edges, and soft shadows falling across the desk clutter. The mood emphasizes craftsmanship, artistry, and the behind-the-scenes creation of lady trendy girl . Mount the figure on a dynamic transparent base with big motion small water flash light effect details flowing and blooming over the body and some on the table

Create a high quality look real face hyper-realistic 1/7 scale commercialized figure of the illustrated character, rendered in a real life . The figure is displayed on a clear crystal placed at the center of an artist’s messy modeling studio hot chic lady fashion desk. Surrounding the figure are tools of the creative hot trend style and young fresh lady dress : brushes, paint jars, crystal and flowers , and scattered sketches. On a macbook laptop screen, the ZBrush modeling process of the figure is displayed vividly, showing the digital sculpt in progress. Next to the screen stands a premium toy packaging box, printed with the original artwork stylus letters: HARRY LOUIS Lighting is fresh hot trending fashion gentlemonster glasses lady style, with a bright key light illuminating the figure, rim lights highlighting edges, and soft shadows falling across the desk clutter. The mood emphasizes craftsmanship, artistry, and the behind-the-scenes creation of lady trendy girl . Mount the figure on a dynamic transparent base with big motion small water flash light effect details flowing and blooming over the body and some on the table

Generate an image for me: Based on the puppy reference image, create an artistic portrait using a three-panel grid composition. Set the scene on a seaside beach with a sky gradient of pale purple and grey, and a calm sea surface. The pet must match the reference image. The first layer features a close-up of the pet's silhouette standing on the sand, fur ruffled by the wind, with the caption - What's beyond the sea?’ in both Chinese and English. The second layer shows an orange bouquet placed before the pet, standing sideways by the sea, with the caption ‘You don't have to tell me’. The third layer is a close-up of the pet's face, fur flowing in the wind, with the caption ‘I will go and see it myself’. The overall tone is cool and crisp, creating an artistic atmosphere imbued with self-exploration. Maintain original proportions.

Generate an image for me: Based on the puppy reference image, create an artistic portrait using a three-panel grid composition. Set the scene on a seaside beach with a sky gradient of pale purple and grey, and a calm sea surface. The pet must match the reference image. The first layer features a close-up of the pet's silhouette standing on the sand, fur ruffled by the wind, with the caption - What's beyond the sea?’ in both Chinese and English. The second layer shows an orange bouquet placed before the pet, standing sideways by the sea, with the caption ‘You don't have to tell me’. The third layer is a close-up of the pet's face, fur flowing in the wind, with the caption ‘I will go and see it myself’. The overall tone is cool and crisp, creating an artistic atmosphere imbued with self-exploration. Maintain original proportions.

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README

Seedream V4 Edit

Seedream 4.0/Edit is a specialized image-to-image model for accurate edits to existing images - swap outfits and accessories, adjust hair or makeup, recolor or re-materialize products, and replace interior finishes like floors, walls, or furniture while maintaining subject identity, lighting, and overall composition.

Highlights

  • High fidelity on people & products: Reliable skin tones, fabric/material details, logos, and fine edges.
  • Production-friendly consistency: Generate multiple variants quickly with locked camera/look and brand color grading.
  • Structured prompts that scale: Works best when the goal is clear up front (action + object + target feature + constraints).

Use cases

  • Portrait & influencer workflows: Outfit/makeup/hair changes, branded KV series, quick campaign variants.
  • E-commerce & product teams: Colorways, material/texture swaps, packaging updates.
  • Interior/archviz: Wall/floor finish replacements, upholstery changes, lighting-aware set dressing.
  • Marketing & growth: Fast A/B testing with consistent brand color and camera setup.

Price

Only $0.027 per image!!!

How to use

  1. Prepare source: Upload the base images (Up to 10 images).
  2. Set size: The maximum size of the image is 8192 * 8192.
  3. Write a clear prompt: Write clearly in the prompt about object, feature, and constraints.

Prompt patterns (copy-ready)

Use: change action + change object + target feature + constraints (keep/avoid)

Portrait (KV series)

portrait KV series, {STYLE} style, consistent color grading {BRAND_COLOR}, fixed camera look (85mm shallow depth), interchangeable persona: {PERSONA}, reserved lower-third text “{NAME} — {ROLE}”

Change Clothes / Jewellery / Makeup

Outfit swap for portrait, replace clothing with {OUTFIT_DESC}; keep pose and composition; accessories {JEWELRY_DESC}; makeup/hair {MAKEUP_HAIR}; preserve skin tone and lighting; clean edges, no artifacts

Background Replacement

Background replacement for subject, keep subject edges; new environment: {SCENE_DESC}; match light direction and color temperature; soft contact shadows; no haloing

Interior / Outdoor Replacement

Interior finish swap, update wall {WALL_MATERIAL}, floor {FLOOR_MATERIAL}, furniture upholstery {FABRIC}; layout and lighting unchanged; realistic PBR textures

Recommended Resolutions

Aspect RatioExact (W×H)Exact PixelsRounded (W×H, ÷64)Rounded Pixels
1:11448 × 14482,096,7041408 × 14081,982,464
3:21773 × 11822,095,6861728 × 11521,990,656
4:31672 × 12542,096,6881664 × 12162,023,424
16:91936 × 10892,108,3041920 × 10882,088,960
21:92212 × 9482,096,9762176 × 9602,088,960
1:11024 × 10241,048,5761024 × 10241,048,576
3:21254 × 8361,048,3441216 × 8321,011,712
4:31182 × 8871,048,4341152 × 8961,032,192
16:91365 × 7681,048,3201344 × 7681,032,192
21:91564 × 6701,047,8801536 × 640983,040
1:1323 × 323104,329320 × 320102,400
3:2397 × 264104,808384 × 25698,304
4:3374 × 280104,720448 × 320143,360
16:9432 × 243104,976448 × 256114,688
21:9495 × 212104,940576 × 256147,456
Accessibility:This website uses AI models provided by third parties.

Seedream v4 Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bytedance/seedream-v4/edit with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Seedream v4 Edit below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v4/edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("bytedance/seedream-v4/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "bytedance/seedream-v4/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Seedream v4 Edit API — Frequently asked questions

What is the Seedream v4 Edit API?

Seedream v4 Edit is a ByteDance model for image editing, exposed as a REST API on WaveSpeedAI. Seedream V4 Edit is state-of-the-art image editing model that outperforms Nano Banana in fidelity and edit quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Seedream v4 Edit API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedream-v4-edit.

How much does Seedream v4 Edit cost per run?

Seedream v4 Edit starts at $0.027 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Seedream v4 Edit accept?

Key inputs: `prompt`, `images`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bytedance/bytedance-seedream-v4-edit.

How long does Seedream v4 Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 35 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Seedream v4 Edit outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (ByteDance). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.