HiDream-E1 Full is an image editing model built on HiDream-I1 that delivers high-quality, content-aware edits and refinements. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.024per run·~41 / $1

for a light gray sweater and gold thin-rimmed glasses.

Remove the bird next to it

Add the text "WavespeedAI" to the man's clothing

Remove the bird from the image

Remove the astronaut, keep the rest unchanged

Transform into comic style

Add sunglasses to the boy's face

Color the sculpture.

Put sunglasses on the boy.

Pin a star brooch on a girl's dress.
HiDream E1 Full is a prompt-based image editing model for high-quality, identity-preserving edits from a single input image. Upload an image, describe the change you want (e.g., wardrobe, accessories, color tweaks, minor scene adjustments), and the model applies the edit while keeping the subject and overall composition stable. It’s ideal for practical photo edits and fast creative variations without rebuilding the entire image.
| Output | Price |
|---|---|
| Per image edit | $0.024 |
For clean results, specify both the change and the constraints:
Template: Keep the same person, pose, and background. Change [target edit]. Keep lighting natural and consistent.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-e1-full 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 E1 Full below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hidream-e1-full" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"seed": -1,
"output_format": "jpeg",
"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-e1-full", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"seed": -1,
"output_format": "jpeg",
"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-e1-full",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"seed": -1,
"output_format": "jpeg",
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputHidream E1 Full is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. HiDream-E1 Full is an image editing model built on HiDream-I1 that delivers high-quality, content-aware edits and refinements. 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-e1-full.
Hidream E1 Full starts at $0.024 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`, `image`, `seed`, `enable_base64_output`, `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-e1-full.
Average end-to-end generation time on WaveSpeedAI is around 13 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.