Bitdance 14b Text To Image
Playground
Try it on WaveSpeedAI!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
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired image |
| size | No | Aspect ratio preset: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Custom width in pixels (range: 256–1536) |
| height | No | Custom height in pixels (range: 256–1536) |
| seed | No | Random seed for reproducibility (-1 for random) |
How to Use
- Write your prompt — describe the image in detail, including style, lighting, and composition.
- Choose size — select a preset aspect ratio or customize width/height.
- Use Prompt Enhancer (optional) — click to automatically refine your description.
- Set seed (optional) — for reproducible results.
- Run — submit and download your generated image.
Pricing
| Output | Cost |
|---|---|
| Per image | $0.01 |
Best Use Cases
- Creative Exploration — Generate many variations at minimal cost.
- Concept Art — Visualize artistic styles like steampunk, oil painting, and fantasy.
- High-Volume Generation — Ideal for batch generation and rapid prototyping.
- Social Media Content — Create eye-catching visuals affordably.
- Personal Projects — Bring creative visions to life without breaking the bank.
Pro Tips
- Use detailed, descriptive prompts for best results — include style, medium, and mood (e.g., “oil painting style, intricate details”).
- Specify artistic aesthetics like “steampunk,” “cyberpunk,” or “watercolor” for distinctive looks.
- Match aspect ratio to your target use: 1:1 for social media, 16:9 for banners, 9:16 for stories.
- Try the Prompt Enhancer to automatically improve your descriptions.
- Use the same seed to reproduce or iterate on specific results.
Notes
- Prompt is the only required field.
- Resolution range: 256–1536 pixels for both width and height.
- Default size is 1024×1024 (1:1).
- Ensure your prompts comply with content guidelines.
Related Models
- Seedream V5.0 Lite — lightweight text-to-image model.
- Recraft V4 Text-to-Image — Design-focused image generation.
- FLUX.1 Dev — High-quality image generation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text description of the image you want to generate | |
| size | string | No | 1024*1024 | - | Image resolution in width*height format (e.g., '1024*1024', '512*512') |
| seed | integer | No | -1 | - | Random seed for reproducible generation |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |