Hidream O1 Image Dev Edit

Hidream O1 Image Dev Edit

Playground

HiDream-O1-Image Dev (Edit) is the distilled, fast-inference variant of HiDream-O1-Image in edit mode — accepts a source image plus an instruction (and optional extra references for subject-driven personalization) at up to 2K resolution, at half the price of the full model. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

HiDream-O1-Image Dev (Edit)

HiDream-O1-Image Dev is the distilled variant of HiDream-O1-Image. The same single native model handles text-to-image, prompt-driven editing, and subject-driven personalization at up to 2K (≈2048×2048) — but tuned for fast, low-step inference so you pay less and wait less per edit. Provide one or more reference images plus an instruction; the model edits while keeping identity, composition, and lighting stable.

Why Choose This?

• Distilled for speed — Fewer denoising steps than the full HiDream-O1-Image, lower latency per edit.
• Lower cost — Half the price of the full model, ideal for batch editing, e-commerce variations, and rapid iteration.
• Identity-preserving edits — Keeps the subject, pose, and overall composition stable while applying the requested change.
• Multi-reference support — Accepts one image for plain editing, or multiple reference images for subject-driven personalization (consistent characters, products, IPs).
• High-resolution output — 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).
• Multiple output formats — JPEG, PNG, or WEBP.
• Reproducibility — Use a fixed seed to recreate exact results.

Parameters

How to Use

1. Upload your reference image(s) — drag and drop or paste publicly accessible URLs. One image for editing, multiple for subject-driven personalization.
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 — half the price of the full HiDream-O1-Image (Edit).

Best Use Cases

• Batch e-commerce variations — Multiple colorways or styling options from a hero shot, at scale.
• Subject-driven personalization — Pass several reference images to keep a character / product / IP consistent across new scenes.
• Wardrobe & accessory edits — Swap clothing color/style, add/remove glasses, hats, jewelry.
• 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 many creative variants per source image at low cost.

Dev vs. Full — Which to Pick?

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.”

For subject-driven personalization, pass several reference images of the same subject (different angles / outfits / lighting) and describe the new scene; the model uses them jointly to keep identity consistent.

Pro Tips

• Always state what should stay the same — it dramatically improves identity preservation.
• For multi-reference personalization, give 3–5 varied shots of the subject for best identity locking.
• 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 URLs for the source images, ensure they are 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 Dev · Text-to-Image — Same distilled model, in text-to-image mode.
• HiDream-O1-Image · Edit — The full (non-distilled) edit model for highest fidelity.
• HiDream-O1-Image · Text-to-Image — Full model in text-to-image mode.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image-dev/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}"