Flux Schnell LoRA

Flux Schnell LoRA

Playground

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FLUX.1 [schnell] is a 12B-parameter rectified flow transformer that generates images from text prompts and supports LoRA adapters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

wavespeed-ai/flux-schnell-lora is a fast, high-throughput text-to-image model with LoRA support for style and identity control. Use it when you want Schnell-level speed, but also need consistent aesthetics across batches (brand looks, character styles, “same vibe” series).

Key capabilities

  • LoRA-guided generation for consistent style, mood, or subject traits
  • Ultra-fast iterations for prompt exploration and batch workflows
  • Optional image + mask inputs for reference-based edits (when enabled)
  • Up to 3 LoRAs per run (mix styles or add a single strong look)

Inputs

  • Prompt (required): text description of the image you want

  • Image (optional): reference image input (if available in your deployment)

  • Mask image (optional): mask for local edits / inpainting (if available)

  • Strength (optional): how strongly edits follow the image/mask intent

  • LoRAs (optional): up to 3 LoRA items, each with:

  • Path: LoRA identifier (for example, a LoRA repo/name)

  • Scale: LoRA weight/strength

  • Size: output width and height

  • Num images: number of images to generate

  • Seed: random seed for reproducibility

  • Output format: jpeg, png, etc.

  • Base64 output (API only): return base64 instead of a URL

  • Sync mode (API only): wait for the result before returning

  • One-LoRA “signature look”: start with a single LoRA and moderate scale, then iterate prompts for composition and lighting.
  • Style blending: combine 2 LoRAs (e.g., lighting + texture) and keep scales conservative to avoid overcooking details.
  • Consistency runs: fix the seed, lock the LoRA set, then vary only one prompt element per iteration.

Use cases

  • Brand creative at scale: generate a whole campaign’s visuals in one consistent style
  • Character/style series: keep the same “feel” across thumbnails, posters, or profile sets
  • Product mock concepts: explore layouts quickly while preserving a chosen aesthetic
  • Rapid A/B exploration: batch variations under a stable LoRA look for easy comparison
  • Creator workflows: build a repeatable visual identity without sacrificing speed

Pricing

ModelPrice per imageLoRA limit
wavespeed-ai/flux-schnell-lora$0.005Up to 3

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",
  "strength": 0.8,
  "size": "1024*1024",
  "num_images": 1,
  "seed": -1,
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-schnell-lora" \
  -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-The positive prompt for the generation.
imagestringNo--
mask_imagestringNo-The mask image tells the model where to generate new pixels (white) and where to preserve the original image (black). It acts as a stencil or guide for targeted image editing.
strengthnumberNo0.80 ~ 1Strength indicates extent to transform the reference image.
lorasarray<object>No0 ~ 3 itemsList of LoRAs to apply (max 3).
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
num_imagesintegerNo11 ~ 4The number of images to generate.
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.

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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