This is a simplified guide to an AI model called Flux-Kontext-Dev maintained by Prunaai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model Overview
flux-kontext-dev represents an optimized version of Black Forest Labs' image editing model, fine-tuned by PrunaAI for enhanced performance. It builds upon the FLUX family of models, joining similar implementations like flux.1-dev and flux-schnell. The model specializes in contextual image editing tasks with speed optimization through the Pruna framework.
Model Inputs and Outputs
The model accepts image editing requests through a combination of text prompts and input images, producing modified images that maintain contextual coherence with the original content.
Inputs
- Input Image - The source image to be edited
- Text Prompt - Description of desired edits
- Guidance Scale - Controls the strength of the edit (default 2.5)
- Inference Steps - Number of denoising steps (default 30)
- Speed Mode - Multiple optimization levels from "Base" to "Real Time"
- Aspect Ratio - Output image proportions
- Seed - For reproducible results
Outputs
- Modified Image - Single output image in PNG, JPG, or WebP format
- Quality Settings - Adjustable compression (1-100) for JPG/WebP
Capabilities
The system excels at contextual image e...
Top comments (0)