A beginner's guide to the Hyper-Flux-16step model by Lucataco on Replicate

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This is a simplified guide to an AI model called Hyper-Flux-16step maintained by Lucataco. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

hyper-flux-16step is a 16-step version of the Hyper FLUX LoRA model developed by ByteDance. It is an implementation of the ByteDance/Hyper-SD FLUX.1-dev 8-step model as a Cog model by lucataco. Similar models include the Hyper FLUX 8-step LoRA, SDXL-Lightning by ByteDance, and various other FLUX.1-Dev and FLUX.1-Schnell LoRA explorers by lucataco.

Model inputs and outputs

This model takes a text prompt as input and generates an image based on that prompt. The key inputs include the prompt, aspect ratio, number of outputs, guidance scale, and number of inference steps. The output is an array of image URLs.

Inputs

Prompt: The text prompt describing the image to generate
Aspect Ratio: The aspect ratio of the generated image, with options for 1:1, 16:9, 4:3, and custom
Num Outputs: The number of images to generate (up to 4)
Guidance Scale: The guidance scale for the diffusion process (0-10)
Num Inference Steps: The number of inference steps (1-30)