Minimax H3 Image Edit API Documentation

Minimax H3 Image Edit API Documentation

Playground

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MiniMax H3 Open Weights Image Edit re-renders a subject from up to 9 reference images into a new scene, outfit or style from a text instruction, preserving identity at 1K or 2K resolution. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

Run the open-weights edition of MiniMax H3 as a reference-guided image editor on WaveSpeedAI’s own GPU infrastructure. Provide 1 to 9 reference images and an instruction; the model re-renders the subject into a new scene, outfit, pose or art style while preserving identity, at 1k or 2k resolution.


Why Choose This?

  • Strong identity preservation
    Faces, hairstyles, accessories and clothing details carry over from the references.

  • Scene, outfit and style changes
    Move a person to a new location, change what they wear, or restyle the image as a painting or animation.

  • Multi-image references
    Combine up to 9 references, addressed in the prompt as <Picture 1>, <Picture 2>, and so on.

  • Aspect ratio follows your input
    By default the output keeps the aspect ratio of the first reference image; override it with aspect_ratio.


Parameters

ParameterRequiredDescription
promptYesThe edit instruction. Refer to references as <Picture 1> .. <Picture N>.
imagesYes1 to 9 reference image URLs.
aspect_ratioNoOutput aspect ratio. Options: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, or 21:9. Defaults to the first reference image’s aspect ratio.
resolutionNoOutput resolution: 1k (default) or 2k.
output_formatNojpeg (default), png or webp.
seedNoRandom seed. -1 picks a random seed.

How to Use

  1. Upload references — One clear image of the subject is enough; add more for outfits, props or additional people.
  2. Describe the new image — State the new scene, outfit, pose and style explicitly, e.g. The same woman from <Picture 1>, now wearing a red leather jacket, standing in a neon-lit Tokyo alley at night. Photorealistic still.
  3. Choose resolution1k for iteration, 2k for final assets.
  4. Submit — Receive the edited image URL.

Pricing

Pricing is based on the selected resolution.

ResolutionCost per image
1k$0.03
2k$0.09

Best Use Cases

  • Virtual try-on and outfit swaps — Keep the person, change the clothes.
  • Scene relocation — Put a subject into a new environment with matching light.
  • Style transfer — Oil painting, anime or illustration versions of a photo.
  • Character sheets — Consistent renders of one character across settings.

Pro Tips

  • Describe the new scene fully instead of only naming the reference; short prompts that just say “the person from <Picture 1>” tend to reproduce the reference.
  • For style transfer, say so explicitly, e.g. This is a painting, not a photograph.
  • Keep the subject’s key features in the prompt (hair, glasses, beard) when they matter.
  • Fix the seed to iterate on wording without changing the composition.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minimax-h3/image-edit" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The edit instruction. Refer to the reference images as <Picture 1>, <Picture 2>, ... in order. Describe the new scene, outfit or style you want; the subject's identity is taken from the references.
imagesarray<string>Yes-1 ~ 9 itemsReference images to edit from (1 to 9 URLs). The first image also sets the output aspect ratio unless aspect_ratio is given.
aspect_ratiostringNo-1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, 21:9The aspect ratio of the generated image. Defaults to the aspect ratio of the first reference image.
resolutionstringNo1k1k, 2kTotal output resolution tier: 1k (~1 megapixel) or 2k (~4 megapixels).
output_formatstringNojpegjpeg, png, webpThe format of the output image.
seedintegerNo--The random seed to use for the generation. -1 means a random seed will be used.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.statusstringTask status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses.
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.statusstringStatus: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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