Bria Text To Image 3.2 API Documentation

Bria Text To Image 3.2 API Documentation

Playground

Bria 3.2 is a commercial-ready text-to-image model with 4B parameters, delivering exceptional aesthetics and accurate text rendering. Ready-to-use REST inference API, no coldstarts, best performance, affordable pricing.

Features

Bria T2I 3.2 turns text prompts into high-quality images with reliable composition, strong detail, and style control. It supports negative prompts, a wide range of aspect ratios, deterministic seed control, and API options for sync and BASE64 output. Trained on licensed data for compliant commercial use.

✨ Highlights

• Crisp, production-ready renders with balanced lighting and clean details.
• Composition control via aspect ratios and negative prompts.
• Deterministic generation using a fixed seed, or explore variants with random seeds.
• Workflow friendly: synchronous result fetch or lightweight async polling; URL or BASE64 delivery.

🧩 Parameters (1:1 with the panel)

• prompt* (string, required) Describe subject, setting, lighting, lens/camera, materials, and style. Example: “Macro shot of a butterfly wing with dew drops, photorealistic, shallow depth of field, bokeh.”

• aspect_ratio (dropdown) Canvas proportion. Options include: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9.

• negative_prompt (string, optional) Traits to avoid (e.g., “blurry, artifact, extra fingers, watermark, text”).

• seed (integer, optional) Controls randomness. Same prompt + params + seed ⇒ same image. -1 uses a random seed (click the refresh icon in the UI to randomize).

🚀 How to Use (panel flow)

1. Write prompt (required). Keep it concise but specific: subject + lighting + style/camera.
2. Choose aspect_ratio. Pick the target output (e.g., 1:1 for square, 16:9 for landscape, 9:16 for vertical).
3. (Optional) Add a negative_prompt to block artifacts or style drift.
4. (Optional) Set a seed for reproducibility, or leave -1 to randomize.
5. Click Run to generate the image. Keep settings and change only the seed to explore safe variants.

💰 Pricing

• Per generation: $0.04

🧠 Prompting Tips

• Lead with light & lens: “soft studio key light,” “golden hour backlight,” “35mm shallow DOF,” “macro bokeh” sharpen intent.
• Style anchors: add photorealistic, cinematic, anime, watercolor, or minimalist to guide look.
• Avoid clutter: push defects into negative_prompt early (e.g., “blurry, extra limbs, watermark”).
• Consistent campaigns: fix aspect_ratio and seed to keep layout predictable while you adjust color/props.

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",
  "aspect_ratio": "1:1"
}
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/bria/text-to-image-3.2" \
  -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

Parameters

Task Submission Parameters

Request Parameters

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

Response Parameters

Result Request Parameters

Result Response Parameters