Flux 3 Klein Image Base Text To Image LoRA API Documentation
Playground
Try it on WaveSpeedAI!FLUX 3 Klein Base Text-to-Image LoRA generates images from text prompts with up to 3 custom LoRA weights, with 1K, 1.5K or 2K output and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
FLUX 3 Klein Base Text-to-Image LoRA runs the full, non-distilled FLUX 3 Klein checkpoint for maximum fidelity (slower and priced higher than Distilled) from Black Forest Labs (5.6B open weights). Describe the image you want and get it back in seconds. Apply up to 3 custom LoRA weights in the same request.
Why Choose This?
-
Prompt-driven generation
Full scene captions (framing, subject, background, lighting) give the best results. -
Text rendering
Clear, readable text inside generated images. -
LoRA support
Apply up to3LoRAs, each as{path, scale}. -
Layout control with bounding boxes
Append a JSON list of boxes on a0to1000grid to place elements; in edits, refer to the n-th reference as<ref_image_n>. -
1K, 1.5K, and 2K output
Choose1k(~1 megapixel),1.5k(~2.4 megapixels), or2k(~4 megapixels) at 15 aspect ratios. -
Multiple output formats
Export asjpeg,png, orwebp. -
Seed control
Use a fixed seed to reproduce a result, or-1for random.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text prompt describing the image to generate. |
| loras | No | Up to 3 LoRA objects. Each item uses {path, scale}. |
| resolution | No | Output resolution tier: 1k, 1.5k, or 2k. Default: 1k. |
| aspect_ratio | No | Output aspect ratio. Default: 1:1. |
| output_format | No | jpeg, png, or webp. Default: jpeg. |
| seed | No | Random seed. Use -1 for a random seed. |
Pricing
1k: $0.035 per image.1.5k: $0.065 per image.2k: $0.125 per image.
How to Use
- Write a prompt — Describe the subject, composition, background, lighting, and style in full sentences.
- Add LoRAs (optional) — Up to
3, each with its ownscale. - Choose resolution and aspect ratio (optional).
- Submit — Retrieve the finished image from the result.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"aspect_ratio": "1:1",
"resolution": "1k",
"output_format": "jpeg"
}
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/wavespeed-ai/flux-3-klein-image-base/text-to-image-lora" \
-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
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. A full scene caption (framing, subject, background, lighting) works best. | |
| aspect_ratio | string | No | 1:1 | 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21, 21:9 | The aspect ratio of the generated image. Defaults to 1:1. |
| resolution | string | No | 1k | 1k, 1.5k, 2k | Total output resolution tier: 1k (~1 megapixel), 1.5k (~2.4 megapixels) or 2k (~4 megapixels). |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| loras | array<object> | No | 0 ~ 3 items | List of LoRAs to apply (max 3). | |
| loras[].path | string | Yes | - | - | URL or path to the LoRA weights. |
| loras[].scale | number | No | 1 | 0 ~ 4 | - |
| seed | integer | No | - | - | The random seed. -1 means random. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
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.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| 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.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| 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 |