HiDream-O1-Image is a unified, native image-generation model that produces high-resolution images up to 2K from a single text prompt — no external components required. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.04per run·~25 / $1

A luxury beauty portrait of an elegant young woman, flawless glowing skin, subtle natural makeup, holding a premium skincare bottle near her face, clean beige background, soft studio lighting, high-end commercial advertising style, close-up shot, refined composition, glossy skin texture, photorealistic, ultra-detailed, beauty campaign aesthetic

A warm lifestyle commercial portrait of a young woman holding a cup of coffee, relaxed natural smile, modern cafe environment, soft morning light, clean and cozy brand aesthetic, candid yet polished composition, photorealistic, highly detailed, premium lifestyle advertising style
HiDream-O1-Image is a unified, next-generation image-generation model. A single native model handles text-to-image, image editing, and subject-driven personalization — no external adapters, controllers, or pipelines required. The text-to-image endpoint produces sharp, detailed visuals at resolutions up to roughly 2K (2048×2048) straight from a text prompt.
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.
| Output | Cost |
|---|---|
| Per image | $0.04 |
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/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 Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image/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/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/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 Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. HiDream-O1-Image is a unified, native image-generation model that produces high-resolution images up to 2K from a single text prompt — no external components required. 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-text-to-image.
Hidream O1 Image Text To Image starts at $0.040 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-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.