This is a simplified guide to an AI model called Flux-Kontext-Dev maintained by Black-Forest-Labs. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model Overview
Created by black-forest-labs, flux-kontext-dev unifies image generation and editing through flow matching technology. This open-weight model builds on the research foundation of its sibling models flux-kontext-pro and flux-kontext-max, while providing enhanced character consistency during iterative edits.
Model Inputs and Outputs
The model accepts images and text prompts to perform various editing and generation tasks. It features performance optimizations including FP8 quantization and activation caching for faster inference times.
Inputs
- Input Image - Reference image in jpeg, png, gif, or webp format
- Prompt - Text description for generation or editing instructions
- Aspect Ratio - Output image dimensions with options from 1:1 to 21:9
- Guidance Scale - Controls strength of prompt adherence (0-10)
- Inference Steps - Number of denoising steps (4-50)
- Speed Mode - Optional fast inference with slight quality trade-off
Outputs
- Generated Image - Modified or generated image in webp, jpg, or png format
- Quality Control - Adjustable output quality settings (0-100)
Capabilities
The model excels at both local and glob...
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