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

FLUX.1 Schnell LoRA — wavespeed-ai/flux-schnell-lora

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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-schnell-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "strength": 0.8,
    "loras": [
        {
            "path": "strangerzonehf/Flux-Super-Realism-LoRA",
            "scale": 1
        }
    ],
    "size": "1024*1024",
    "num_images": 1,
    "seed": -1,
    "output_format": "jpeg",
    "enable_base64_output": false,
    "enable_sync_mode": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

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.
strengthnumberNo0.80.00 ~ 1.00Strength indicates extent to transform the reference image.
lorasarrayNomax 3 itemsList of LoRAs to apply (max 3).
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
num_imagesintegerNo11 ~ 4The number of images to generate.
seedintegerNo-1-1 ~ 2147483647The 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 enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

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.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
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, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (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
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