Minicpm V Image

Minicpm V Image

Playground

MiniCPM-V 4.5 is the latest, most capable MiniCPM-V image model for accurate AI image understanding and analysis across visual tasks. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

MiniCPM-V Image is an efficient AI-powered image understanding model that analyzes and describes images based on your prompts. Upload an image, choose a preset or write a custom prompt, and get detailed descriptions, analysis, or answers about the visual content.

Why It Stands Out

• Image understanding: Analyzes visual content and provides detailed descriptions.
• Preset prompts: Quick access to common tasks like “describe” for instant use.
• Custom prompts: Ask specific questions or request particular analysis.
• Ultra-affordable: High-quality image understanding at just $0.005 per image.
• Reproducibility: Use the seed parameter to recreate exact results.

Parameters

How to Use

1. Upload your image — drag and drop a file or paste a public URL.
2. Select a preset prompt — choose “describe” or other presets for quick analysis.
3. Or write a custom prompt — ask specific questions about the image.
4. Click Run and receive the analysis.

Example Use Cases

Using preset “describe”:

• Get a detailed description of the image content, subjects, and scene.

Using custom prompts:

• “What objects are in this image?”
• “Describe the mood and atmosphere of this photo.”
• “What text is visible in this image?”
• “Count the number of people in this photo.”
• “What is the main subject doing?”

Best Use Cases

• Image Captioning — Generate descriptions for images in your content.
• Content Analysis — Understand and categorize visual content at scale.
• Accessibility — Create alt text and descriptions for visually impaired users.
• Data Extraction — Extract information from images like text, objects, or scenes.
• Quality Control — Analyze images for specific attributes or content.

Pricing

Pro Tips for Best Quality

• Use preset prompts for common tasks like general description.
• Write specific custom prompts when you need particular information.
• For OCR-style tasks, ask directly: “What text is in this image?”
• Combine with other models for workflows like image-to-text-to-video.

Notes

• Ensure uploaded image URLs are publicly accessible.
• Processing time varies based on current queue load.
• Please ensure your content complies with usage guidelines.

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'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
  "preset_prompt": "describe",
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/minicpm-v/image" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 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) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters