![]() Move the downloaded weight file sd-v1-4.ckpt into this new folder we just created, then rename the weight file to model.ckpt. This folder did not exist when we first downloaded the code. Then create a new folder, name it stable-diffusion-v1. Go to this folder first: \stable-diffusion-main\models\ldm We will need to move it to a specific location. One Last Step – Model Weightsīy now, the model weight we downloaded at the beginning is probably finished. including Lumen, only the latest major release receives bug fixes. This is the reason we don’t want to use pip to set the environment – because we’ll have to jump through a few hoops. We may choose to rename function arguments when necessary in order to improve the. CUDA is not a Python library and not on the Pypi index. ![]() The above command will also install CUDA, which is a software developed by Nvidia that allows other software to directly control the graphic card for parallel computation. In the Anaconda Promot, type the following, which will first create a conda environment (download and install all required dependencies), and then activate it. feel free to open up the file (in text editor) and see what dependencies are needed for running Stable Diffusion. This is similar to the “requirements.txt” for pip. This folder contains an “environment.yaml” file, which is like a configuration file for building the Python (conda) environments. If your Anaconda doesn’t launch properly after the installation, refer to this guide to fix the problem: How to Fix Anaconda Doesn’t Launch Issue.Īfter installing Anaconda, open the Anaconda Prompt, and navigate to the folder that contains the source code. Go to the Anaconda official website, and download and install Anaconda. However, using the Anaconda Distribution will make it so much easier, so I highly recommend getting Anaconda first, then setting up the environment. Maybe you are very used to using pip for installation, I get it (I’m the same). Now we have the source code, let’s get Python. The name of the job is the key in the map, and the value is a map. Thanks, Basu!įrom the optimized version, we only need files from the folder “optimizedSD”, what I did was copy this folder and put it inside the official version. version: 2.1 orbs: hello: circleci/hello-build0.0.5 workflows: Hello Workflow. Someone named Basu created an “optimized” version that will allow running the software on a 4GB VRAM graphic card. The official version requires a high-end graphic card with at least 10GB VRAM to generate a 512 x 512 image at default settings. While this is downloading, let’s set up other things.ĭownload The Stable Diffusion Source Code Optimized Version You’ll need to register an account at Hugging Face and log in to gain access. The latest model weights is version 1-4, and can be found here: The model weights are several gigabytes so let’s start with downloading them first. If renaming a collection between different databases, renameCollection locking behavior depends on the MongoDB version: For MongoDB 4.2.2 and later, renameCollection obtains an exclusive (W) lock on the target database, an intent shared (r) lock on the source database, and a shared (S) lock on the source collection.
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