Hidream O1 Image Dev Text To Image

Hidream O1 Image Dev Text To Image

Playground

HiDream-O1-Image Dev is a distilled, faster variant of the unified HiDream-O1-Image model — same native text-to-image / edit / personalization architecture at up to 2K, optimized for low-step inference and lower cost. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

HiDream-O1-Image Dev (Text-to-Image)

HiDream-O1-Image Dev is the distilled variant of HiDream-O1-Image. It keeps the unified, single-native-model architecture (text-to-image, image editing, and subject-driven personalization) and the same up to 2K (≈2048×2048) resolution ceiling, but is tuned for fast, low-step inference — making it the best pick when you need speed and lower cost without giving up the HiDream-O1 look.

Why Choose This?

• Distilled for speed — Fewer denoising steps than the full model, which means lower latency per image.
• Lower cost — Half the price of the full HiDream-O1-Image model, ideal for high-volume generation, drafts, and rapid iteration.
• Same unified architecture — One native model handles text-to-image, edit, and personalization. No external adapters or pipelines.
• High-resolution output — Generate detailed images up to ~2048×2048 with strong composition and lighting.
• Strong prompt adherence — Faithfully follows complex, multi-clause descriptions including style, mood, and on-image text.
• Flexible aspect ratios — Supply any custom width/height up to the supported maximum (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. Write your prompt — describe subject, style, lighting, mood, and any on-image text.
2. Choose size — pick an aspect ratio that fits your use case (e.g., 2048*2048 for square, 1536*2048 for portrait, 2048*1152 for landscape).
3. Set output_format — JPEG for compact files, PNG for lossless, WEBP for balance.
4. Set seed (optional) — pin a number to reproduce exact results.
5. Run — submit the request and download the generated image.

Pricing

Flat rate per generated image — half the price of the full HiDream-O1-Image model.

Best Use Cases

• High-volume generation — Bulk content creation where per-image cost and latency matter.
• Drafts & rapid iteration — Quickly explore prompt variations before committing to the full model.
• Concept Art & Illustration — Translate text descriptions into detailed visual concepts.
• Marketing & Social Media — Produce eye-catching visuals for posts, ads, and campaigns.
• Storyboarding — Quickly visualize scenes and characters for creative projects.
• Product Visualization — Mock up product concepts and lifestyle imagery.

Dev vs. Full — Which to Pick?

Use Dev when you’re iterating, batching, or cost-sensitive. Switch to the full model for the very best fidelity on hero shots.

Pro Tips

• Be specific about subject, style, lighting, and composition — HiDream-O1 follows detailed prompts well.
• For posters or banners, describe layout and any on-image text explicitly.
• Pin a seed while iterating so you can A/B test prompt tweaks against a fixed baseline.
• Match size to your final use case (square for thumbnails, 16:9 for banners, 9:16 for mobile).
• Use png when you need lossless quality; use jpeg or webp to keep file sizes small.

Notes

• Only prompt is required — every other field is optional.
• Higher resolutions may slightly increase processing time.
• Ensure prompts comply with content guidelines.

Related Models

• HiDream-O1-Image Dev · Edit — Same distilled model, in image-editing mode.
• HiDream-O1-Image · Text-to-Image — The full (non-distilled) model for highest fidelity.
• HiDream-O1-Image · Edit — Full model in edit mode.

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