Flux Dev Lora Ultra Fast

Rapid, high-quality image generation with FLUX.1 [dev] and LoRA support for personalized styles and brand-specific outputs, ultra fast !

Features

The Flux-Dev-LoRA-Ultra-Fast 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-Dev-Lora-ultra-fast model is based on the FLUX.1-dev model by Black Forest Labs.This model combines the personalization capabilities of wavespeed-ai with ultra-fast image generation, delivering high-quality outputs in under 2 seconds.

Key Features

• Ultra-Fast Generation: Delivers high-quality images from text prompts in under 2 seconds.
• LoRA Fine-Tuning Support: Enables personalized styles and brand-specific outputs through LoRA fine-tuning.
• Specialized Style LoRAs: Includes various specialized LoRAs for different styles and themes, such as:
  • Total Drama Character LoRA: Generates images of cartoon geometric simplified portraits in the style of the Total Drama series.
  • Yarn Art LoRA: Generates images in a yarn art style.
• Open Weights: Provides open access to model weights, facilitating scientific research and creative development.
• Versatile Usage: Suitable for personal, scientific, and commercial applications, offering flexibility across various use cases.

ComfyUI

flux-dev-lora-ultra-fast 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 Focus: Designed primarily for creative image synthesis; not intended for generating factually accurate content.
• Inherent Biases: Outputs may reflect biases present in the training data.
• Input Sensitivity: The quality and consistency of generated images depend significantly on the quality of the input text; subtle variations may lead to output variability.​
• Prompt Dependency: The model's performance is closely tied to the clarity and structure of the prompts; careful crafting may be necessary for optimal results.

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/v2/wavespeed-ai/flux-dev-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "geometric tall character design, in the style of TTLDRMCHR. Donald Trump and a mexican skeleton, vibrant color background",
    "image": "",
    "strength": 0.8,
    "loras": [
        {
            "path": "linoyts/yarn_art_Flux_LoRA",
            "scale": 1
        }
    ],
    "size": "1024*1024",
    "num_inference_steps": 28,
    "guidance_scale": 3.5,
    "num_images": 1,
    "seed": -1,
    "enable_base64_output": true,
    "enable_safety_checker": true
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v2/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Query Parameters

Result Request Parameters

Result Response Parameters