Sam 3d Body

Sam 3d Body

Playground

Advanced SAM 3D body generation model for creating detailed 3D human body models from images with optional mask-based segmentation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

SAM 3D Body (wavespeed-ai/sam-3d-body) generates a 3D human body asset from a single input image, with an optional mask to isolate the body region. It’s designed for practical pipelines where you want fast, repeatable 3D body reconstruction from photos and screenshots.

You provide the source image (and optionally a mask image). The API returns output URL(s) for the generated 3D result.

Key capabilities

• Single-image 3D human body generation from an input image URL.
• Optional mask-guided subject isolation via mask_image for cleaner results when the background is busy.
• Simple, minimal input surface (just image, plus optional mask_image)—easy to plug into automation.
• Asynchronous job workflow with task status (created / processing / completed / failed) and output URLs when finished.
• Production-style response payloads including timing info and NSFW flags in the result metadata.

Parameters and how to use

• image: (required) Input image URL for 3D body generation.
• mask_image: Optional mask image URL to constrain processing to a specific region (typically the body).

Prompt

This model is image-conditioned and does not accept a text prompt. Your “instruction” is primarily the image content (and optional mask_image).

Media (Images)

Input

• image must be a publicly accessible URL when calling the REST API.
• For best results, use a clear full-body subject (minimal occlusion, good lighting, sharp edges).
• Avoid heavy motion blur, extreme fisheye distortion, or large cut-offs (missing limbs / cropped torso).

Optional mask

• mask_image should match the same framing and dimensions as image.

• Use the mask when:

• the background is cluttered,

• multiple people appear,

• the body boundary is ambiguous (similar colors, low contrast).

Other parameters

mask_image

• When to use: Improve subject isolation and reduce background leakage into the reconstruction.
• What to send: A mask image URL aligned to image (commonly a binary or high-contrast foreground mask).

After you finish configuring the parameters, click Run, preview the result, and iterate if needed.

Pricing

$0.02 per run

Notes

• Best input = best 3D. A well-lit, centered, full-body image will generally outperform a busy, low-contrast scene.
• Use mask_image as a control knob. If the output includes background artifacts or misses body parts, add a mask and re-run.
• Expect iteration for hard cases. Complex poses, heavy occlusions (arms crossing torso), and multiple overlapping people often need a cleaner source image or a tighter mask.

Related Models

• SAM 3D Objects – Same SAM-style workflow, optimized for single-object reconstruction (with optional mask guidance).
• Hunyuan3D V3 Image-To-3D – Higher-end general image-to-3D model for detailed assets and textures.
• Tencent Hunyuan3D V2 Multi-View – Multi-view reconstruction when you can provide multiple angles for better geometry.
• Tencent Hunyuan3D v2.1 – General-purpose image-to-3D pipeline geared for scalable asset workflows and richer outputs.

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"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/sam-3d-body" \
  -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