Bria Fibo Generate 1.5 Text To Image API Documentation

Bria Fibo Generate 1.5 Text To Image API Documentation

Playground

Bria FIBO Generate 1.5 Text-to-Image creates commercially safe images from text prompts, with optional photoreal style presets and advanced structured prompting for product visuals, marketing assets, brand-safe content, and production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Bria FIBO Gen 1.5 Text-to-Image generates images from text prompts with optional reference-image guidance. It supports multiple aspect ratios, 1MP or 4MP output resolution, optional photoreal style preset, and seed control for reproducible generation.

Why Choose This?

• Text-to-image generation
  Generate images directly from natural-language prompts.

• Optional reference image guidance
  Provide one reference image to guide the generated result.

• Flexible aspect ratios
  Choose square, portrait, landscape, and vertical output formats.

• Resolution control
  Generate at 1mp for standard output or 4mp for higher-resolution results.

• Photoreal style preset
  Use the optional photoreal style preset when realistic output is preferred.

• Seed support
  Use a fixed seed for reproducible results, or -1 for a random seed.

Parameters

How to Use

1. Write your prompt — Describe the subject, scene, composition, lighting, style, and visual details.
2. Add a reference image optional — Provide one image when you want visual guidance.
3. Choose style optional — Use photoreal when realistic output is needed.
4. Select aspect ratio — Choose the layout that matches your target format.
5. Choose resolution — Use 1mp for standard generation or 4mp for higher-resolution output.
6. Set seed optional — Use a fixed seed for reproducible results, or -1 for random generation.
7. Submit — Generate the final image.

Pricing

Pricing is fixed at $0.04 per image.

Best Use Cases

• Photoreal image generation — Create realistic images from detailed prompts.
• Marketing visuals — Generate campaign assets, social posts, and promotional imagery.
• Product concepts — Create product scenes, lifestyle visuals, and presentation images.
• Creative ideation — Explore characters, environments, objects, and visual directions.
• Reference-guided generation — Use one reference image to guide composition, subject, or visual style.

Pro Tips

• Use clear prompts with subject, composition, lighting, mood, and background details.
• Use the photoreal style preset when realistic output is the main goal.
• Add a reference image when you want stronger visual guidance.
• Use 1mp for faster iteration and 4mp when higher-resolution output is needed.
• Set a fixed seed when comparing prompt or parameter changes.
• Choose 9:16 for vertical mobile content and 16:9 for widescreen layouts.

Related Models

• Bria FIBO Gen 1.5 Text-to-Image — Generate images from text prompts with optional reference-image guidance.
• Bria FIBO Edit 1.5 — Edit images with prompt-based instructions and visual context.

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",
  "style_id": "photoreal",
  "aspect_ratio": "1:1",
  "resolution": "1mp"
}
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/fibo-generate-1.5/text-to-image" \
  -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