Browse ModelsWavespeed AIBitdance 14b Text To Image

Bitdance 14b Text To Image

Bitdance 14b Text To Image

Playground

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BitDance 14B is a 14B-parameter autoregressive text-to-image model using binary tokens for high-quality photorealistic image generation up to 1024px resolution. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

BitDance 14B is a powerful 14-billion parameter text-to-image model that generates high-quality images from text descriptions. With flexible aspect ratios, custom resolution support, and exceptional value at just $0.01 per image, it’s ideal for creative exploration and high-volume generation.


Why Choose This?

  • 14B parameters Large-scale model delivering high-quality, detailed image generation.

  • Ultra-affordable Just $0.01 per image — exceptional value for creative projects.

  • Flexible aspect ratios Multiple presets including 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.

  • Custom resolution Adjustable width and height from 256 to 1536 pixels.

  • Prompt Enhancer Built-in tool to automatically improve your descriptions.


Parameters

ParameterRequiredDescription
promptYesText description of the desired image
sizeNoAspect ratio preset: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3
widthNoCustom width in pixels (range: 256–1536)
heightNoCustom height in pixels (range: 256–1536)
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Write your prompt — describe the image in detail, including style, lighting, and composition.
  2. Choose size — select a preset aspect ratio or customize width/height.
  3. Use Prompt Enhancer (optional) — click to automatically refine your description.
  4. Set seed (optional) — for reproducible results.
  5. Run — submit and download your generated image.

Pricing

OutputCost
Per image$0.01

Best Use Cases

  • Creative Exploration — Generate many variations at minimal cost.
  • Concept Art — Visualize artistic styles like steampunk, oil painting, and fantasy.
  • High-Volume Generation — Ideal for batch generation and rapid prototyping.
  • Social Media Content — Create eye-catching visuals affordably.
  • Personal Projects — Bring creative visions to life without breaking the bank.

Pro Tips

  • Use detailed, descriptive prompts for best results — include style, medium, and mood (e.g., “oil painting style, intricate details”).
  • Specify artistic aesthetics like “steampunk,” “cyberpunk,” or “watercolor” for distinctive looks.
  • Match aspect ratio to your target use: 1:1 for social media, 16:9 for banners, 9:16 for stories.
  • Try the Prompt Enhancer to automatically improve your descriptions.
  • Use the same seed to reproduce or iterate on specific results.

Notes

  • Prompt is the only required field.
  • Resolution range: 256–1536 pixels for both width and height.
  • Default size is 1024×1024 (1:1).
  • Ensure your prompts comply with content 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'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "size": "1024*1024",
  "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/bitdance-14b/text-to-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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text description of the image you want to generate
sizestringNo1024*1024-Image resolution in width*height format (e.g., '1024*1024', '512*512')
seedintegerNo-1-Random seed for reproducible generation

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.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
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.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
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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