Meshy V6 Lite Retexture API Documentation

Meshy V6 Lite Retexture API Documentation

Playground

Try it on WaveSpeedAI!

Meshy 6 Lite Retexture re-textures an existing 3D model from a text prompt or a reference image. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Meshy 6 Lite Retexture generates new textures for an existing 3D model using a text description or reference image. Explore different materials, colors, and surface details while keeping the original model geometry.


Why Choose This?

  • Retexture existing models — Change the materials, colors, and surface appearance of an existing 3D asset.
  • Text or image guidance — Describe the desired texture or provide a reference image.
  • PBR material support — Generate metallic, roughness, and normal maps when needed.
  • UV control — Reuse the model’s existing UV layout or generate a new one.
  • Simple workflow — Upload a model, provide texture guidance, and generate a new textured asset.

Parameters

ParameterRequiredDescription
modelYesSource 3D model in GLB, GLTF, FBX, OBJ, or STL format.
promptConditionalText description of the desired texture, materials, colors, and surface style. Provide a prompt or texture_image.
texture_imageConditionalReference image used to guide the texture style. If both prompt and texture_image are supplied, the reference image takes priority.
enable_pbrNoGenerate PBR maps including metallic, roughness, and normal maps. Default: false.
enable_original_uvNoReuse the model’s existing UV layout. Default: true. Disable it to generate a new UV layout.

How to Use

  1. Upload a model — Provide the 3D asset you want to retexture.
  2. Add texture guidance — Describe the desired appearance or provide a reference image.
  3. Configure materials optional — Enable PBR maps when needed.
  4. Choose UV handling optional — Keep the original UV layout or generate a new one.
  5. Submit — Generate and retrieve the retextured model.

Pricing

$0.40 per model.

The prompt, reference image, PBR setting, and UV setting do not add separate charges.


Best Use Cases

  • Material variations — Explore different materials and finishes on the same 3D model.
  • Product visualization — Create new colors and surface treatments for product assets.
  • Game assets — Produce texture variations without regenerating geometry.
  • Style exploration — Apply different visual directions using text or image references.
  • PBR workflows — Generate material maps for lighting-sensitive rendering.

Pro Tips

  • Describe materials, colors, finish, wear, and surface properties clearly.
  • Use a reference image with a consistent material or visual style.
  • Keep enable_original_uv=true when the model already has a suitable UV layout.
  • Disable original UV preservation when the model has missing or unsuitable UVs.
  • Enable PBR when metallic, roughness, and normal maps are needed.

Notes

  • Provide at least one of prompt or texture_image.
  • If both are supplied, texture_image takes priority.
  • enable_pbr defaults to false.
  • enable_original_uv defaults to true.
  • PBR output includes metallic, roughness, and normal maps.
  • Meshy 6 Lite does not generate an emission map.
  • A reference image with a substantially different object shape may be harder to match to the source model.
  • Reusing the original UV layout works best when the source model already has suitable UV coordinates.

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'
{
  "model": "example",
  "enable_pbr": false,
  "enable_original_uv": true
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/meshy/v6-lite/retexture" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

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

Retry temporary errors only while polling, never the submit request. Errors, retries and timeouts

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
modelstringYes--The 3D model to process (GLB, GLTF, FBX, OBJ or STL).
promptstringNo0 ~ 600 charactersDescribe the texture style. Provide a prompt or a texture_image.
texture_imagestringNo--Reference image for the texture style. Used when no prompt is given.
enable_pbrbooleanNofalse-Generate PBR maps.
enable_original_uvbooleanNotrue-Keep the model's own UVs.

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

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
© 2026 WaveSpeedAI. All rights reserved.