From 47dd4a55480e8da527a0810057abd3ffa6c4021c Mon Sep 17 00:00:00 2001 From: Malik M Alnakhaleh Date: Fri, 28 Apr 2023 17:33:03 -0400 Subject: [PATCH] Update README.md --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index b89832e..f72f97d 100644 --- a/README.md +++ b/README.md @@ -38,7 +38,7 @@ pip install git+https://github.com/openai/CLIP.git --no-deps [![Jupyter Notebook](https://img.shields.io/badge/jupyter_notebook-%23FF7A01.svg?logo=jupyter&logoColor=white)](https://huggingface.co/DeepFloyd/IF-I-XL-v1.0/blob/main/notebooks/pipes-DeepFloyd-IF-v1.0.ipynb) [![Kaggle](https://kaggle.com/static/images/open-in-kaggle.svg)](https://www.kaggle.com/code/shonenkov/deepfloyd-if-4-3b-generator-of-pictures) -The Dream, Style Transfer, Super Resolution or Inpainting modes are avaliable in a Jupyter Notebook [here](https://huggingface.co/DeepFloyd/IF-I-XL-v1.0/blob/main/notebooks/pipes-DeepFloyd-IF-v1.0.ipynb). +The Dream, Style Transfer, Super Resolution or Inpainting modes are available in a Jupyter Notebook [here](https://huggingface.co/DeepFloyd/IF-I-XL-v1.0/blob/main/notebooks/pipes-DeepFloyd-IF-v1.0.ipynb). @@ -51,7 +51,7 @@ Diffusers runs each stage individually allowing the user to customize the image ### Example Before you can use IF, you need to accept its usage conditions. To do so: -1. Make sure to have a [Hugging Face account](https://huggingface.co/join) and be loggin in +1. Make sure to have a [Hugging Face account](https://huggingface.co/join) and be logged in 2. Accept the license on the model card of [DeepFloyd/IF-I-XL-v1.0](https://huggingface.co/DeepFloyd/IF-I-XL-v1.0) 3. Make sure to login locally. Install `huggingface_hub` ```sh @@ -68,7 +68,7 @@ login() and enter your [Hugging Face Hub access token](https://huggingface.co/docs/hub/security-tokens#what-are-user-access-tokens). -Next we install `diffusers` and dependencies: +Next, we install `diffusers` and dependencies: ```sh pip install diffusers accelerate transformers safetensors @@ -216,7 +216,7 @@ if_I.show(result['II'], 1, 20) ## III. Super Resolution -For super-resolution, users can run `IF-II` and `IF-III` or 'Stable x4' on an image that was not necessarely generated by IF (two cascades): +For super-resolution, users can run `IF-II` and `IF-III` or 'Stable x4' on an image that was not necessarily generated by IF (two cascades): ```python from deepfloyd_if.pipelines import super_resolution @@ -318,7 +318,7 @@ The code in this repository is released under the bespoke license (see added [po The weights will be available soon via [the DeepFloyd organization at Hugging Face](https://huggingface.co/DeepFloyd) and have their own LICENSE. -**Disclaimer:** *The initial release of the IF model is under a restricted research-purposes-only license temporarily to gather feedback, and after that we intend to release a fully open-source model in line with other Stability AI models.* +**Disclaimer:** *The initial release of the IF model is under a restricted research-purposes-only license temporarily to gather feedback, and after that, we intend to release a fully open-source model in line with other Stability AI models.* ## Limitations and Biases @@ -342,8 +342,8 @@ The models available in this codebase have known limitations and biases. Please Special thanks to [StabilityAI](http://stability.ai) and its CEO [Emad Mostaque](https://twitter.com/emostaque) for invaluable support, providing GPU compute and infrastructure to train the models (our gratitude goes to [Richard Vencu](https://github.com/rvencu)); thanks to [LAION](https://laion.ai) and [Christoph Schuhmann](https://github.com/christophschuhmann) in particular for contribution to the project and well-prepared datasets; thanks to [Huggingface](https://huggingface.co) teams for optimizing models' speed and memory consumption during inference, creating demos and giving cool advice! ## 🚀 External Contributors 🚀 -- The Biggest Thanks [@Apolinário](https://github.com/apolinario), for ideas, consultations, help and support on all stages to make IF available in open-source; for writing a lot of documentation and instructions; for creating a friendly atmosphere in difficult moments 🦉; -- Thanks, [@patrickvonplaten](https://github.com/patrickvonplaten), for improving loading time of unet models by 80%; +- The Biggest Thanks [@Apolinário](https://github.com/apolinario), for ideas, consultations, help, and support on all stages to make IF available in open-source; for writing a lot of documentation and instructions; for creating a friendly atmosphere in difficult moments 🦉; +- Thanks, [@patrickvonplaten](https://github.com/patrickvonplaten), for improving the loading time of unet models by 80%; for integration Stable-Diffusion-x4 as native pipeline 💪; - Thanks, [@williamberman](https://github.com/williamberman) and [@patrickvonplaten](https://github.com/patrickvonplaten) for diffusers integration 🙌; - Thanks, [@hysts](https://github.com/hysts) and [@Apolinário](https://github.com/apolinario) for creating [the best gradio demo with IF](https://huggingface.co/spaces/DeepFloyd/IF) 🚀;