dhruvin771/Flux-AI

Scripts for high-quality image generation using FLUX.1-dev and FLUX.1-Turbo-Alpha models, optimized for text-to-image tasks with fast and efficient output.

0

stars

6

commits

Python

primary language

Oct 22, 2024

updated

README

Image Generation Using FLUX.1-dev and FLUX.1-Turbo-Alpha

Description:

This repository includes scripts for generating high-quality images on CPU or GPU using FLUX.1-dev and FLUX.1-Turbo-Alpha models. Both models excel at text-to-image tasks, with Turbo-Alpha optimized for faster generation while maintaining quality.

Key Features:

  • FLUX.1-dev: Ideal for detailed text-to-image generation, offering high fidelity with multi-head discriminators.
  • FLUX.1-Turbo-Alpha: Focuses on speed, generating high-resolution images quickly with minimal quality trade-offs.

Both models generate 1024x1024 images, enabling efficient creative workflows such as advertising and content creation.

Usage:

  • Text-to-Image Generation: Converts prompts into high-quality images within seconds.
T2I Example

Technical Details:

  • Training: 1M high-quality images, BF16 precision, 1024x1024 resolution.
  • Guidance Scale: Optimal results at guidance_scale=3.5, ensuring prompt adherence.

Contributors

dhruvin771

6 commits

dhruvin771/Flux-AI

Scripts for high-quality image generation using FLUX.1-dev and FLUX.1-Turbo-Alpha models, optimized for text-to-image tasks with fast and efficient output.

0

stars

6

commits

Python

primary language

Oct 22, 2024

updated

README

Image Generation Using FLUX.1-dev and FLUX.1-Turbo-Alpha

Description:

This repository includes scripts for generating high-quality images on CPU or GPU using FLUX.1-dev and FLUX.1-Turbo-Alpha models. Both models excel at text-to-image tasks, with Turbo-Alpha optimized for faster generation while maintaining quality.

Key Features:

  • FLUX.1-dev: Ideal for detailed text-to-image generation, offering high fidelity with multi-head discriminators.
  • FLUX.1-Turbo-Alpha: Focuses on speed, generating high-resolution images quickly with minimal quality trade-offs.

Both models generate 1024x1024 images, enabling efficient creative workflows such as advertising and content creation.

Usage:

  • Text-to-Image Generation: Converts prompts into high-quality images within seconds.
T2I Example

Technical Details:

  • Training: 1M high-quality images, BF16 precision, 1024x1024 resolution.
  • Guidance Scale: Optimal results at guidance_scale=3.5, ensuring prompt adherence.

Contributors

dhruvin771

6 commits

Languages

Python

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