A beginner's guide to the Flux-Fast model by Prunaai on Replicate

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This is a simplified guide to an AI model called Flux-Fast maintained by Prunaai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

flux-fast is an optimized endpoint for FLUX.1 [dev] from Black Forest Labs, engineered by prunaai to deliver the fastest inference speeds available. This model generates high-quality images from text descriptions with significant speed improvements over standard implementations. If you need faster alternatives, flux-schnell offers 3x faster performance with minimal quality loss, while flux.1-juiced provides another optimized variant of the same base model.

Model inputs and outputs

flux-fast accepts text prompts and customizable generation parameters to produce images. The model supports flexible aspect ratios, variable inference steps, and adjustable quality settings. Speed optimization levels allow you to balance between consistency and generation velocity depending on your needs.

Inputs

Prompt - Text description of the image you want to generate
Aspect ratio - Image dimensions (options include 1:1, 16:9, 21:9, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 9:16, 9:21)
Image size - Base image size in pixels for the longest side (default 1024)
Number of inference steps - Steps for the generation process (default 28)
Guidance scale - Controls how closely the model follows your prompt (default 3.5)
Speed mode - Optimization level from "Lightly Juiced" for consistency to "Blink of an eye" for maximum speed
Seed - For reproducible results
Output format - Choose PNG, JPG, or WebP
Output quality - Quality setting for JPG and WebP (1-100)