From b7a90020cc43394d2245e78bc119c738d8a04594 Mon Sep 17 00:00:00 2001
From: lunarring <78172771+lunarring@users.noreply.github.com>
Date: Fri, 2 Dec 2022 11:42:09 +0000
Subject: [PATCH] Update README.md

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 README.md | 71 +++++++++++++++++++++++++++++++++++++++++++------------
 1 file changed, 56 insertions(+), 15 deletions(-)

diff --git a/README.md b/README.md
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-# What can you do with latent blending?
+# What is latent blending?
+
+Latent blending allows you to generate smooth video transitions between two prompts. It is based on (stable diffusion 2.0)[https://stability.ai/blog/stable-diffusion-v2-release] and remixes the latent reprensetation using spherical linear interpolations. This results in imperceptible transitions, where one image slowly turns into another one. 
+
+# Example 1: simple transition
+(mp4), code
+
+# Example 2: inpainting transition
+(mp4), code
+
+# Example 3: concatenated transition
+(mp4), code
+
+# Relevant parameters
+
+
+# Installation
+#### Packages
+```commandline
+ pip install -r requirements.txt
+```
+#### Models
+[Download the Stable Diffusion 2.0 Standard Model](https://huggingface.co/stabilityai/stable-diffusion-2)
+
+[Download the Stable Diffusion 2.0 Inpainting Model (optional)](https://huggingface.co/stabilityai/stable-diffusion-2-inpainting)
+
+#### xformers efficient attention [(copied from stability)](https://github.com/Stability-AI/stablediffusion)
+For more efficiency and speed on GPUs, 
+we highly recommended installing the [xformers](https://github.com/facebookresearch/xformers)
+library.
+
+Tested on A100 with CUDA 11.4.
+Installation needs a somewhat recent version of nvcc and gcc/g++, obtain those, e.g., via 
+```commandline
+export CUDA_HOME=/usr/local/cuda-11.4
+conda install -c nvidia/label/cuda-11.4.0 cuda-nvcc
+conda install -c conda-forge gcc
+conda install -c conda-forge gxx_linux-64=9.5.0
+```
+
+Then, run the following (compiling takes up to 30 min).
+
+```commandline
+cd ..
+git clone https://github.com/facebookresearch/xformers.git
+cd xformers
+git submodule update --init --recursive
+pip install -r requirements.txt
+pip install -e .
+cd ../stable-diffusion
+```
+Upon successful installation, the code will automatically default to [memory efficient attention](https://github.com/facebookresearch/xformers)
+for the self- and cross-attention layers in the U-Net and autoencoder.
 
 # How does it work
 ![](animation.gif)
 
-# Installation
-
-# Example 1, single transition
-(mp4), code
-
-# Example 2, inpainting transitino
-(mp4), code
-
-# Example 3, movie
-(mp4), code
-
-# Science
-
-
+what makes a transition a good transition?
+* absence of movement
+* every frame looks like a credible photo