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@ -34,9 +34,11 @@ source text-to-image generator. It provides a streamlined process with various n
options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on
GPU cards with as little as 4 GB or RAM.
_Note: This fork is rapidly evolving. Please use the
[Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
requests. Be sure to use the provided templates. They will help aid diagnose issues faster._
!!! note
This fork is rapidly evolving. Please use the
[Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
## Installation
@ -64,18 +66,18 @@ You wil need one of the following:
- At least 6 GB of free disk space for the machine learning model, Python, and all its dependencies.
### Note
!!! note
If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
full-precision mode as shown below.
If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
full-precision mode as shown below.
Similarly, specify full-precision mode on Apple M1 hardware.
Similarly, specify full-precision mode on Apple M1 hardware.
To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
```bash
(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
```
```bash
(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
```
## Features