Flux Redux Dev LoRA

Unlock creative image generation with Flux Redux Dev LoRA, supporting LoRA weights and image-to-image style transfer. Try it now and see the results!

Platform: Replicate

LoRA IntegrationImage Redux ModelsConditional Image GenerationStyle Transfer

215 runs

A100 (80GB)

License Check Required

🚀Function Overview

A LoRA-adapted model for generating and modifying images using text prompts or conditioning images, with extensive control over output parameters.

Key Features

Supports LoRA weights integration from multiple sources
Image conditioning for style/appearance transfer
Customizable aspect ratio, resolution, and quality
Adjustable denoising steps and guidance scale
Multiple output generation and seed control
Safety checker toggle

Use Cases

•Creative image generation from text prompts
•Image-to-image style transfer using reference images
•Generating multiple artistic variations
•Applying specialized LoRA styles/models

⚙️Input Parameters

prompt

string

Prompt for generated image

redux_image

string

Input image to condition your output on. This replaces prompt for FLUX.1 Redux models

aspect_ratio

string

Aspect ratio for the generated image

num_outputs

integer

Number of outputs to generate

num_inference_steps

integer

Number of denoising steps. Recommended range is 28-50

guidance

number

Guidance for generated image

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

output_quality

integer

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

disable_safety_checker

boolean

Disable safety checker for generated images.

megapixels

string

Approximate number of megapixels for generated image

lora_weights

string

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

lora_scale

number

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

💡Usage Examples

Example 1

Input Parameters

{
  "prompt": "art nouveau",
  "guidance": 3,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "redux_image": "https://replicate.delivery/pbxt/MpUZxGp2ETAVs8PcIx1HuycjpMUFTwLD23mCnGVta8Fite1x/00044-3696149592.png",
  "aspect_ratio": "3:4",
  "lora_weights": "civitai.com/models/782219/lora-flux-art-nouveau",
  "output_format": "png",
  "output_quality": 80,
  "num_inference_steps": 28
}

Output Results

https://replicate.delivery/yhqm/9RhgqdDqD97PHNI1bRDVJC5Pu4kGELAWV7ffpAr8iNYOkViUA/out-0.png

Quick Actions

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Technical Specifications

Hardware Type: A100 (80GB)
Run Count: 215
Commercial Use: Unknown/Restricted
Platform: Replicate

Related Keywords

LoRA IntegrationImage ReduxImage-to-Image Style TransferText-to-Image GenerationCustomizable Image OutputsMultiple Image VariationsSeed ControlSafety Checker

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