This is a simplified guide to an AI model called Hyper-Flux-16step maintained by Bytedance. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
hyper-flux-16step is a text-to-image generation model developed by ByteDance, the parent company of TikTok. Similar to other ByteDance AI models like SDXL-Lightning 4-step and Hyper FLUX 8-step, hyper-flux-16step is capable of generating high-quality images from text prompts. It is a 16-step variant of the Hyper FLUX model, which may offer improved performance or capabilities compared to the 8-step version.
Model inputs and outputs
hyper-flux-16step takes a variety of inputs to control the image generation process, including the text prompt, image size and aspect ratio, seed for reproducibility, and settings like guidance scale and inference steps. The model outputs one or more image files in the WebP format, which can then be used or further processed as needed.
Inputs
- Prompt: The text prompt that describes the desired image
- Seed: A random seed value for reproducible generation
- Width/Height: Dimensions of the generated image (when using custom aspect ratio)
- Aspect Ratio: Aspect ratio of the generated image (e.g. 1:1, 16:9)
- Num Outputs: Number of images to generate per prompt
- Guidance Scale: Strength of the text guidance during the diffusion process
- Num Inference Steps: Number of steps in the diffusion process
Outputs
- Image(s): One or more image files in the WebP format
Capabilities
hyper-flux-16step can generate a wid…