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.
Idle

$0.02per run·~50 / $1

A clean isometric illustration of a computer architecture system, CPU, memory, storage, and accelerator modules connected by glowing data paths, minimal academic style, white background, precise layout, professional technical visualization

A massive near-future data center interior, rows of liquid-cooled server racks glowing with soft cyan light, robotic maintenance arms, reflective polished floor, cinematic volumetric lighting, ultra-detailed industrial design, realistic materials, wide-angle shot, high contrast, 8k, photorealistic

A calm female commander in futuristic tactical armor, standing in a holographic command room, short black hair, focused expression, subtle battle scars, cinematic lighting, realistic fabric and metal textures, highly detailed character design, medium shot
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.
seed to recreate exact results.| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| size | No | Output image size as WIDTH*HEIGHT (default: 2048*2048). The model snaps to the closest supported resolution. |
| output_format | No | Output format: jpeg, png, or webp (default: jpeg). |
| seed | No | Random seed for reproducible generation. |
| enable_sync_mode | No | API only — wait for the result and return it inline. |
| enable_base64_output | No | API only — return the image as a base64 string instead of a URL. |
size — pick an aspect ratio that fits your use case (e.g., 2048*2048 for square, 1536*2048 for portrait, 2048*1152 for landscape).output_format — JPEG for compact files, PNG for lossless, WEBP for balance.seed (optional) — pin a number to reproduce exact results.Flat rate per generated image — half the price of the full HiDream-O1-Image model.
| Output | Cost |
|---|---|
| Per image | $0.02 |
| HiDream-O1-Image Dev | HiDream-O1-Image (Full) | |
|---|---|---|
| Speed | Faster (distilled, fewer steps) | Standard |
| Cost / image | $0.02 | $0.04 |
| Quality ceiling | High | Highest |
| Best for | Drafts, batches, low-cost generation | Final, hero images |
Use Dev when you're iterating, batching, or cost-sensitive. Switch to the full model for the very best fidelity on hero shots.
seed while iterating so you can A/B test prompt tweaks against a fixed baseline.size to your final use case (square for thumbnails, 16:9 for banners, 9:16 for mobile).png when you need lossless quality; use jpeg or webp to keep file sizes small.prompt is required — every other field is optional.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image-dev/text-to-image 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 Hidream O1 Image Dev Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image-dev/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "2048*2048",
"output_format": "jpeg",
"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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/hidream-o1-image-dev/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "2048*2048",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/hidream-o1-image-dev/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "2048*2048",
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputHidream O1 Image Dev Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
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/wavespeed-ai/hidream-o1-image-dev-text-to-image.
Hidream O1 Image Dev Text To Image starts at $0.020 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.
Key inputs: `prompt`, `size`, `enable_base64_output`, `enable_sync_mode`, `output_format`. 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/wavespeed-ai/hidream-o1-image-dev-text-to-image.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.