Bytedance Seedream V4.5 Edit

Bytedance Seedream V4.5 Edit

Playground

ByteDance Seedream 4.5 Edit preserves facial features, lighting, and color tone from reference images, delivering professional, high-fidelity edits up to 4K with strong prompt adherence. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

bytedance/seedream-v4.5/edit — Image-to-Image

Seedream 4.5 Edit is ByteDance’s high-end image editing model. It preserves facial structure, lighting, and colour tone from your input while applying precise, prompt-driven changes that look like they were done by a professional retoucher—not an over-filtered AI.

Model highlights

• Reference-faithful editing – Keeps identity, pose, lighting, and palette close to the original image.
• Multi-image support – Upload 1–10 images and apply the same edit prompt across the whole batch.
• High-fidelity details – Crisp textures, clean edges, and minimal artifacts even on complex edits.
• Strong prompt adherence – Understands nuanced edit instructions for clothing, background, mood, and style.
• 4K-ready output – Supports resolutions up to 4096 × 4096 when you need extra detail.

Recommended use cases

• Portrait retouching and beauty / fashion edits
• Outfit, hairstyle, and accessory changes
• Background replacement or scene upgrades
• Product visual updates and colourway exploration
• Interior / architecture visual tweaks
• Brand KV and campaign asset iterations

Pricing

Flat, simple pricing:

• $0.04 per generated image

Each successfully edited output counts as one image.

How to use

1. Upload images Add 1–10 images under images. These are the photos that will be edited.

2. Write your edit prompt Clearly describe what should change and what must stay the same, e.g. “Change jacket to red leather, keep pose and background, cinematic lighting.”

3. (Optional) Set size

   • Choose width and height (e.g. 1024×1024, 2048×2048, up to 4096×4096).
   • If you leave size empty, the model uses its default resolution.

4. Run Submit the job. All uploaded images will be edited using the same instructions.

Prompt patterns (copy & adapt)

Outfit / accessory change

Change outfit to {DESCRIPTION}, keep pose and lighting, preserve skin tone, clean edges, no distortions.

Background replacement

Replace background with {SCENE}, match original light direction, natural shadows, no haloing around subject.

Style / mood change

Apply {STYLE} colour grading, keep subject identity and composition, subtle filmic contrast, rich details.

Product recolour

Change product colour to {HEX / COLOUR NAME}, keep material and reflections, no change to logo.

Notes

• Higher input resolution generally yields better detail; for heavy crops, consider upscaling first.
• For best results, keep edit prompts specific but focused—avoid mixing too many unrelated changes at once.
• All image URLs must be publicly accessible for the model to load them.

Model comparison on WaveSpeedAI

Use Seedream 4.5 Edit together with other editing models depending on what you’re optimising for:

• bytedance/seedream-v4.5/edit-sequential – multi-image editing that keeps the same character and style across a whole batch; best when you need a series of consistent portraits, product shots or KV variations.

• wavespeed-ai/flux-2-dev/edit – lightweight FLUX.2 edit model for fast, low-cost batch updates; great for everyday asset tweaks where ultimate fidelity is less critical.

• flux-2-flex/edit – more style-rich and adventurous editing; good for creative restyling, mood shifts and art-direction heavy work rather than strict realism.

• flux-2-pro/edit – production-grade FLUX.2 editing with multi-reference and context-aware control, suited to complex commercial composites and e-commerce pipelines.

• qwen-image/edit-plus – strong semantic understanding and local control, ideal for masking-style edits, UI mockups, and precise object-level changes.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v4.5/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"