lucataco / hyper-flux-16step

Hyper FLUX 16-step by ByteDance

replicate.com
Total runs: 15.0K
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Github
Model's Last Updated: Agosto 28 2024

Introduction of hyper-flux-16step

Model Details of hyper-flux-16step

Readme

About

This is a Cog implementation of the ByteDance/Hyper-SD Flux.1-Dev 16-step LoRA

This LoRA was uploaded via the unique feature of the model ostris/flux-dev-lora-trainer . To create a Replicate model from a pre-trained LoRA that’s on HuggingFace, use the skip_training_and_use_pretrained_hf_lora_url parameter at the bottom

News

Our 8-steps and 16-steps FLUX.1-dev-related LoRAs are available now! We recommend LoRA scales around 0.125 that is adaptive with training and guidance scale could be kept on 3.5. Lower step LoRAs would be coming soon.

Hyper-SD

Official Repository of the paper: Hyper-SD .

Project Page: https://hyper-sd.github.io/

Try our Hugging Face demos:

Hyper-SD Scribble demo host on 🤗 scribble

Hyper-SDXL One-step Text-to-Image demo host on 🤗 T2I

Introduction

Hyper-SD is one of the new State-of-the-Art diffusion model acceleration techniques. In this repository, we release the models distilled from FLUX.1-dev , SD3-Medium , SDXL Base 1.0 and Stable-Diffusion v1-5

Checkpoints
  • Hyper-FLUX.1-dev-Nsteps-lora.safetensors : Lora checkpoint, for FLUX.1-dev-related models.
  • Hyper-SD3-Nsteps-CFG-lora.safetensors : Lora checkpoint, for SD3-related models.
  • Hyper-SDXL-Nstep-lora.safetensors : Lora checkpoint, for SDXL-related models.
  • Hyper-SD15-Nstep-lora.safetensors : Lora checkpoint, for SD1.5-related models.
  • Hyper-SDXL-1step-unet.safetensors : Unet checkpoint distilled from SDXL-Base.
Citation
@misc{ren2024hypersd,
      title={Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis}, 
      author={Yuxi Ren and Xin Xia and Yanzuo Lu and Jiacheng Zhang and Jie Wu and Pan Xie and Xing Wang and Xuefeng Xiao},
      year={2024},
      eprint={2404.13686},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
Licensing and commercial use

If you generate images on Replicate with FLUX.1 models and their fine-tunes, then you can use the images commercially.

If you download the weights off Replicate and generate images on your own computer, you can’t use the images commercially.

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hyper-flux-16step replicate.com

hyper-flux-16step replicate.com is an AI model on replicate.com that provides hyper-flux-16step's model effect (Hyper FLUX 16-step by ByteDance), which can be used instantly with this lucataco hyper-flux-16step model. replicate.com supports a free trial of the hyper-flux-16step model, and also provides paid use of the hyper-flux-16step. Support call hyper-flux-16step model through api, including Node.js, Python, http.

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hyper-flux-16step install

hyper-flux-16step is an open source model from GitHub that offers a free installation service, and any user can find hyper-flux-16step on GitHub to install. At the same time, replicate.com provides the effect of hyper-flux-16step install, users can directly use hyper-flux-16step installed effect in replicate.com for debugging and trial. It also supports api for free installation.

hyper-flux-16step install url in replicate.com:

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hyper-flux-16step install url in github:

https://github.com/lucataco/cog-hyper-flux-8step

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