WaveSpeedAI APIFlux Schnell LoRA

Flux Schnell Lora

FLUX.1 [schnell] is a 12 billion parameter flow transformer that generates high-quality images from text in 1 to 4 steps, suitable for personal and commercial use.

Features

The flux-schnell-lora model is a collection of fine-tuned models , specifically designed for text-to-image generation. LoRA, which stands for Low-Rank Adaptation, is a technique used to fine-tune pre-trained models efficiently. The flux-schnell-lora model is based on the FLUX.1-dev model by Black Forest Labs.

Key Features

  • Superior Visual Output: Produces high-quality images with excellent adherence to input prompts, standing on par with many high-end closed-source alternatives.
  • Rapid Generation Process: Utilizes latent adversarial diffusion distillation techniques to generate quality images in as few as one to four steps.
  • Flexible Licensing: Released under the Apache-2.0 license, making flux-schnell-lora suitable for personal, scientific, and commercial applications.

ComfyUI

flux-schnell-lora is also available on ComfyUI, providing local inference capabilities through a node-based workflow, ensuring flexible and efficient image generation on your system.

Limitations

  • Creative Focused: flux-schnell-lora is optimized for creative image generation rather than providing reliable factual information.
  • Potential Biases: As a statistical model, it may inherit biases present in its training data.
  • Prompt Sensitivity: The performance and fidelity of outputs can vary depending on the specificity and style of the provided prompt.

Out-of-Scope Use

The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:

  • Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
  • Generating or disseminating verifiably false information with the intent to harm others.
  • Creating or distributing personal identifiable information that could be used to harm an individual.
  • Harassing, abusing, threatening, stalking, or bullying individuals or groups.
  • Producing non-consensual nudity or illegal pornographic content.
  • Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
  • Facilitating large-scale disinformation campaigns.

Accelerated Inference

Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.

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 '{
    "prompt": "A beautiful woman with a slight warming smile in a bustling cafe, 4k  [be4u7y]",
    "image": "",
    "strength": 0.8,
    "loras": [
        {
            "path": "Octree/flux-schnell-lora",
            "scale": 1
        }
    ],
    "size": "1024*1024",
    "num_inference_steps": 4,
    "guidance_scale": 3.5,
    "num_images": 1,
    "seed": -1,
    "enable_base64_output": false,
    "enable_safety_checker": true
}'

# 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
promptstringYesA beautiful woman with a slight warming smile in a bustling cafe, 4k [be4u7y]-Input prompt for image 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
lorasarrayNo[]max 5 itemsList of LoRAs to apply (max 5)
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
sizestringNo1024*1024512 ~ 1536 per dimensionOutput image size
num_inference_stepsintegerNo41 ~ 8Number of inference steps
guidance_scalenumberNo3.50.0 ~ 10.0The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
num_imagesintegerNo11 ~ 4Number of images to generate
seedintegerNo-1-1 ~ 9999999999Random seed (-1 for random)
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL.
enable_safety_checkerbooleanNotrue-Enable safety checker

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 Query Parameters

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.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
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