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@ -365,7 +365,7 @@ Credit goes to @rinongal and the repository located at
https://github.com/rinongal/textual_inversion Please see the https://github.com/rinongal/textual_inversion Please see the
repository and associated paper for details and limitations. repository and associated paper for details and limitations.
## Changes # Changes
- v1.13 (in process) - v1.13 (in process)
@ -466,11 +466,11 @@ repository and associated paper for details and limitations.
- use half precision arithmetic by default, resulting in faster execution and lower memory requirements - use half precision arithmetic by default, resulting in faster execution and lower memory requirements
Pass argument --full_precision to dream.py to get slower but more accurate image generation Pass argument --full_precision to dream.py to get slower but more accurate image generation
## Installation # Installation
There are separate installation walkthroughs for [Linux/Mac](#linuxmac) and [Windows](#windows). There are separate installation walkthroughs for [Linux/Mac](#linuxmac) and [Windows](#windows).
### Linux/Mac ## Linux/Mac
1. You will need to install the following prerequisites if they are not already available. Use your 1. You will need to install the following prerequisites if they are not already available. Use your
operating system's preferred installer operating system's preferred installer
@ -556,7 +556,7 @@ link from the stable-diffusion model.ckpt file, to the true location of the sd-v
9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the "stable-diffusion" 9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the "stable-diffusion"
directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple ModuleNotFound errors. directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple ModuleNotFound errors.
#### Updating to newer versions of the script ### Updating to newer versions of the script
This distribution is changing rapidly. If you used the "git clone" method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter "stable-diffusion", and type: This distribution is changing rapidly. If you used the "git clone" method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter "stable-diffusion", and type:
@ -566,7 +566,7 @@ This distribution is changing rapidly. If you used the "git clone" method (step
This will bring your local copy into sync with the remote one. This will bring your local copy into sync with the remote one.
### Windows ## Windows
1. Install Anaconda3 (miniconda3 version) from here: https://docs.anaconda.com/anaconda/install/windows/ 1. Install Anaconda3 (miniconda3 version) from here: https://docs.anaconda.com/anaconda/install/windows/
@ -647,9 +647,12 @@ python scripts\dream.py
10. Subsequently, to relaunch the script, first activate the Anaconda command window (step 3), enter the stable-diffusion directory (step 5, "cd \path\to\stable-diffusion"), run "conda activate ldm" (step 6b), and then launch the dream script (step 9). 10. Subsequently, to relaunch the script, first activate the Anaconda command window (step 3), enter the stable-diffusion directory (step 5, "cd \path\to\stable-diffusion"), run "conda activate ldm" (step 6b), and then launch the dream script (step 9).
#### Updating to newer versions of the script ### Updating to newer versions of the script
This distribution is changing rapidly. If you used the "git clone" method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter "stable-diffusion", and type: This distribution is changing rapidly. If you used the "git clone"
method (step 5) to download the stable-diffusion directory, then to
update to the latest and greatest version, launch the Anaconda window,
enter "stable-diffusion", and type:
``` ```
git pull git pull
@ -701,21 +704,21 @@ Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_libe
100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s] 100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s]
...success ...success
``` ```
## Troubleshooting # Troubleshooting
Here are a few common installation problems and their solutions. Often Here are a few common installation problems and their solutions. Often
these are caused by incomplete installations or crashes during the these are caused by incomplete installations or crashes during the
install process. install process.
* PROBLEM: During "conda env create -f environment.yaml", conda * PROBLEM: During "conda env create -f environment.yaml", conda
hangs indefinitely. hangs indefinitely.
* SOLUTION: Enter the stable-diffusion directory and completely * SOLUTION: Enter the stable-diffusion directory and completely
remove the "src" directory and all its contents. The safest way remove the "src" directory and all its contents. The safest way
to do this is to enter the stable-diffusion directory and to do this is to enter the stable-diffusion directory and
give the command "git clean -f". If this still doesn't fix give the command "git clean -f". If this still doesn't fix
the problem, try "conda clean -all" and then restart at the the problem, try "conda clean -all" and then restart at the
"conda env create" step. "conda env create" step.
--- ---
@ -770,7 +773,7 @@ of branch>
You will need to go through the install procedure again, but it should You will need to go through the install procedure again, but it should
be fast because all the dependencies are already loaded. be fast because all the dependencies are already loaded.
## Support # Support
For support, For support,
please use this repository's GitHub Issues tracking service. Feel free please use this repository's GitHub Issues tracking service. Feel free