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@ -158,21 +158,20 @@ machines that are not internet connected. See [Workaround for machines with limi
7. Now you need to install the weights for the stable diffusion model. 7. Now you need to install the weights for the stable diffusion model.
For running with the released weights, you will first need to set up an acount with Hugging Face (https://huggingface.co). 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 browser at https://huggingface.co/CompVis/stable-diffusion-v-1-4-original. 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. 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 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. to a page that prompts you to click the "download" link. Save the file somewhere safe on your local machine.
Now run the following commands from within the stable-diffusion directory to point it to the weights file. Now run the following commands from within the stable-diffusion directory. This will create a symbolic
link from the stable-diffusion model.ckpt file, to the true location of the sd-v1-4.ckpt file.
``` ```
(ldm) ~/stable-diffusion$ mkdir -p models/ldm/stable-diffusion-v1 (ldm) ~/stable-diffusion$ mkdir -p models/ldm/stable-diffusion-v1
(ldm) ~/stable-diffusion$ ln -sf /path/to/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt (ldm) ~/stable-diffusion$ ln -sf /path/to/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
``` ```
The weight file is >4 GB in size, so downloading may take a while.
8. Start generating images! 8. Start generating images!
``` ```
# for the pre-release weights use the -l or --liaon400m switch # for the pre-release weights use the -l or --liaon400m switch
@ -238,7 +237,7 @@ downloaded just-in-time)
For running with the released weights, you will first need to set up For running with the released weights, you will first need to set up
an acount with Hugging Face (https://huggingface.co). Use your an acount with Hugging Face (https://huggingface.co). Use your
credentials to log in, and then point browser at credentials to log in, and then point your browser at
https://huggingface.co/CompVis/stable-diffusion-v-1-4-original. You https://huggingface.co/CompVis/stable-diffusion-v-1-4-original. You
may be asked to sign a license agreement at this point. may be asked to sign a license agreement at this point.
@ -249,15 +248,16 @@ safe on your local machine. The weight file is >4 GB in size, so
downloading may take a while. downloading may take a while.
Now run the following commands from **within the stable-diffusion Now run the following commands from **within the stable-diffusion
directory** to point it to the weights file: directory** to copy the weights file to the right place:
``` ```
mkdir -p models/ldm/stable-diffusion-v1 mkdir -p models/ldm/stable-diffusion-v1
copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt 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
Instead of copying the file, you may instead create a shortcut within the you stashed this file. If you prefer not to copy or move the .ckpt file,
models\ldm\stable-diffusion-v1\ directory that points to it. you may instead create a shortcut to it from within
"models\ldm\stable-diffusion-v1\".
10. Start generating images! 10. Start generating images!
``` ```