Hidream O1 Image Edit

Hidream O1 Image Edit

Playground

HiDream-O1-Image (Edit) is a unified, native image-editing model that takes a source image plus a text instruction and produces high-resolution edits up to 2K — no external components required. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

HiDream-O1-Image (Edit)

HiDream-O1-Image is a unified, next-generation image model. The same native model that handles text-to-image also handles prompt-driven image editing and subject-driven personalization — no external adapters, controllers, or pipelines required. Provide an input image and an instruction, and the model edits it while preserving identity, composition, and lighting at resolutions up to roughly 2K (2048×2048).

Why Choose This?

• Unified native model — One model, multiple modes (text-to-image / edit / personalization). Consistent quality across every mode.
• Identity-preserving edits — Keeps the subject, pose, and overall composition stable while applying the requested change.
• High-resolution output — Edits delivered at up to ~2048×2048 with sharp detail and natural lighting.
• Strong instruction following — Faithfully interprets edit instructions (wardrobe, scene tweaks, object swaps, style changes, on-image text).
• Flexible aspect ratios — Custom output dimensions; the model snaps to the closest supported resolution.
• Multiple output formats — JPEG, PNG, or WEBP.
• Reproducibility — Use a fixed seed to recreate exact results.

Parameters

How to Use

1. Upload your image — drag and drop or paste a publicly accessible URL.
2. Write your edit instruction — describe both the change and what to keep (e.g., “Change the jacket to black leather. Keep the person, pose, and background unchanged.”).
3. Choose size (optional) — keep the source aspect ratio or pick a new one.
4. Set output_format — JPEG for compact files, PNG for lossless, WEBP for balance.
5. Set seed (optional) — pin a number to reproduce the same edit.
6. Run — submit the request and download the edited image.

Pricing

Flat rate per edit.

Best Use Cases

• Wardrobe & accessory edits — Swap clothing color/style, add/remove glasses, hats, jewelry.
• E-commerce variations — Generate multiple colorways or styling options from a hero shot.
• Background & scene tweaks — Replace backgrounds or swap props while keeping the subject pixel-stable.
• Object add / remove / replace — Cleanly modify specific elements without disturbing the rest of the scene.
• Style transfer — Apply a new look while preserving the subject’s identity.
• Marketing iteration — Quickly produce multiple creative variants from one source image.

Prompting Guide

For clean results, specify both the change and what to preserve:

Template:

Keep the same person, pose, and background. Change [target edit]. Keep lighting natural and consistent.

Examples:

• “Keep the same person and pose. Change the outfit to a light gray sweater and add gold thin-rimmed glasses. Keep the background and lighting unchanged.”
• “Keep identity and composition. Replace the jacket with a black leather jacket; keep realistic fabric texture and natural shadows.”
• “Keep the subject unchanged. Remove the object on the table and keep the scene lighting consistent.”
• “Keep the person and pose. Change the background to a sunlit beach at golden hour.”

Pro Tips

• Always state what should stay the same — it dramatically improves identity preservation.
• Reference elements explicitly: “the text on the shirt”, “the background”, “the person on the left”.
• Pin a seed while iterating so you can compare prompt variants against a fixed baseline.
• For multi-step edits, prefer sequential single-purpose prompts over one long compound instruction.
• Use png for lossless edits when output will be re-edited downstream.

Notes

• If using a URL for the source image, ensure it is publicly accessible.
• The enable_base64_output and enable_sync_mode options are only available through the API.
• Higher resolutions may slightly increase processing time.
• Ensure prompts comply with content guidelines.

Related Models

• HiDream-O1-Image · Text-to-Image — Same unified model, in text-to-image mode.
• HiDream-E1 Full — Previous-generation prompt-driven image editor.
• HiDream-I1 Full — Previous-generation 17B text-to-image foundation model.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "2048*2048",
    "output_format": "jpeg",
    "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}"