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.
Idle

$0.04per run·~25 / $1

Transform the background into a rainy neon city street at night, with wet asphalt reflections, blurred neon signs, umbrellas in the distance, and cinematic blue-magenta lighting. Preserve the same man, face, pose, outfit, expression, and framing. Add realistic rain atmosphere and reflections without changing the subject identity. serious face.
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).
seed to recreate exact results.| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text instruction describing the edit you want to make. |
| images | Yes | Source images to edit (public URL or base64 data URI). PNG, JPEG, JPG, or WebP, up to 50MB, aspect ratio between 1:4 and 4:1. |
| 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 (optional) — keep the source aspect ratio or pick a new one.output_format — JPEG for compact files, PNG for lossless, WEBP for balance.seed (optional) — pin a number to reproduce the same edit.Flat rate per edit.
| Output | Cost |
|---|---|
| Per image edit | $0.04 |
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:
seed while iterating so you can compare prompt variants against a fixed baseline.png for lossless edits when output will be re-edited downstream.enable_base64_output and enable_sync_mode options are only available through the API.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image/edit 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 Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-o1-image/edit" \
-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/edit", {
"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/edit",
{
"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 Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. 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. 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-edit.
Hidream O1 Image Edit 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`, `images`, `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-edit.
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.