Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

rename environment.yaml to take advantage of Anaconda default behavior #827

Browse Source 
-Rename environment files to use default .yml extension
-Change to InvokeAI git repo and folder names

Author: @Christopher-Hayes
This commit is contained in:
Lincoln Stein
2022-09-27 03:16:27 -04:00
parent b512d198f0 b1a3fd945d
commit bc9f892cab
10 changed files with 205 additions and 83 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/installation/INSTALL_LINUX.md
View File

@ -44,7 +44,7 @@ This will create InvokeAI folder where you will follow the rest of the steps.
```
(base) ~/InvokeAI$ conda env create -f environment.yaml
(base) ~/InvokeAI$ conda env create
(base) ~/InvokeAI$ conda activate ldm
(ldm) ~/InvokeAI$
```

60
docs/installation/INSTALL_MAC.md
View File

@ -147,18 +147,15 @@ python scripts/orig_scripts/txt2img.py \
--plms
```
1. half-precision requires autocast which is unfortunatelly incompatible
## Notes
!!! note
1. half-precision requires autocast which is unfortunately incompatible with the
implementation of pytorch on the M1 architecture. On Macs, --full-precision will
default to True.
`#!bash export PIP_EXISTS_ACTION=w` is a precaution to fix a problem where
```bash
conda env create \
-f environment-mac.yaml
```
did never finish in some situations. So it isn't required but wont hurt.
2. `export PIP_EXISTS_ACTION=w` in the commands above, is a precaution to fix `conda env
create -f environment-mac.yml` never finishing in some situations. So
it isn't required but wont hurt.
---
@ -199,30 +196,23 @@ conda install \
-n ldm
```
If it takes forever to run
If it takes forever to run `conda env create -f environment-mac.yml` you could try to run:
```bash
conda env create \
-f environment-mac.yaml
```
you could try to run:
```bash
git clean -f
conda clean \
--yes \
--all
```
```bash
git clean -f
conda clean \
--yes \
--all
```
Or you could try to completley reset Anaconda:
```bash
conda update \
--force-reinstall \
-y \
-n base \
-c defaults conda
```bash
conda update \
--force-reinstall \
-y \
-n base \
-c defaults conda
```
---
@ -247,11 +237,9 @@ There are several causes of these errors:
```bash
conda deactivate
conda env remove -n ldm
PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
conda env create \
-f environment-mac.yaml
conda env create -f environment-mac.yml
```
4. If you have activated the ldm virtual environment and tried rebuilding it,
maybe the problem could be that I have something installed that you don't and
you'll just need to manually install it. Make sure you activate the virtual
@ -396,9 +384,7 @@ python scripts/preload_models.py
```
This fork already includes a fix for this in
[environment-mac.yaml](https://github.com/invoke-ai/InvokeAI/blob/main/environment-mac.yaml).
---
[environment-mac.yaml](https://github.com/invoke-ai/InvokeAI/blob/main/environment-mac.yml).
### "Could not build wheels for tokenizers"

60
docs/installation/INSTALL_WINDOWS.md
View File

@ -46,23 +46,26 @@ in the wiki
This will create stable-diffusion folder where you will follow the rest of
the steps.
5. Enter the newly-created stable-diffusion folder. From this step forward make
sure that you are working in the stable-diffusion directory!
5. Enter the newly-created InvokeAI folder. From this step forward make sure that you are working in the InvokeAI directory!
```batch
cd stable-diffusion
cd InvokeAI
```
6. Run the following two commands:
```batch
conda env create -f environment.yaml
conda activate ldm
conda env create (step 6a)
conda activate ldm (step 6b)
```
This will install all python requirements and activate the "ldm" environment
which sets PATH and other environment variables properly.
Note that the long form of the first command is `conda env create -f environment.yml`. If the
environment file isn't specified, conda will default to `environment.yml`. You will need
to provide the `-f` option if you wish to load a different environment file at any point.
7. Run the command:
```batch
@ -77,29 +80,23 @@ in the wiki
8. Now you need to install the weights for the big stable diffusion model.
- For running with the released weights, you will first need to set up an
acount with [Hugging Face](https://huggingface.co).
- Use your credentials to log in, and then point your browser at
[https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original).
- You may be asked to sign a license agreement at this point.
- Click on "Files and versions" near the top of the page, and then click on
the file named `sd-v1-4.ckpt`. You'll be taken to a page that prompts you
to click the "download" link. Now save the file somewhere safe on your
local machine.
- The weight file is >4 GB in size, so downloading may take a while.
- For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co).
- Use your credentials to log in, and then point your browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
- You may be asked to sign a license agreement at this point.
- Click on "Files and versions" near the top of the page, and then click on the file named `sd-v1-4.ckpt`. You'll be taken to a page that
prompts you to click the "download" link. Now save the file somewhere safe on your local machine.
- The weight file is >4 GB in size, so
downloading may take a while.
Now run the following commands from **within the stable-diffusion directory**
to copy the weights file to the right place:
Now run the following commands from **within the InvokeAI directory** to copy the weights file to the right place:
```batch
mkdir -p models\ldm\stable-diffusion-v1
copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
```
```batch
mkdir -p models\ldm\stable-diffusion-v1
copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
```
Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever
you stashed this file. If you prefer not to copy or move the .ckpt file, you
may instead create a shortcut to it from within
`models\ldm\stable-diffusion-v1\`.
Please replace `C:\path\to\sd-v1.4.ckpt` with the correct path to wherever you stashed this file. If you prefer not to copy or move the .ckpt file,
you may instead create a shortcut to it from within `models\ldm\stable-diffusion-v1\`.
9. Start generating images!
@ -111,10 +108,7 @@ in the wiki
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 InvokeAI directory (step 5, `cd \path\to\InvokeAI`), run `conda activate ldm` (step 6b), and then launch the dream script (step 9).
**Note:** Tildebyte has written an alternative
["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
@ -130,9 +124,9 @@ This distribution is changing rapidly. If you used the `git clone` method
latest and greatest version, launch the Anaconda window, enter
`stable-diffusion`, and type:
```batch
git pull
conda env update -f environment.yaml
```
```batch
git pull
conda env update
```
This will bring your local copy into sync with the remote one.