extern/easydiffusion
1
0
Fork 1
mirror of https://github.com/easydiffusion/easydiffusion.git synced 2024-12-26 00:49:17 +01:00
Code Issues Packages Projects Releases Wiki Activity

Update readme to use docker-compose

Browse Source
This commit is contained in:
cmdr2 2022-08-24 20:49:50 +05:30
parent 22b6f5bbc4
commit a0032050a1
1 changed files with 4 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

9
README.md
View File

@ -10,19 +10,18 @@ All the processing will happen on your local computer, it does not transmit your
![Screenshot of tool](shot-v1.jpg?raw=true)
# System Requirements
1. Requires [Docker](https://docs.docker.com/engine/install/), [nvidia-container-toolkit](https://stackoverflow.com/a/58432877) and [Python](https://www.python.org/downloads/) (3.6 or higher).
1. Requires [Docker](https://docs.docker.com/engine/install/), [docker-compose v1.29](https://docs.docker.com/compose/install/) [nvidia-container-toolkit](https://stackoverflow.com/a/58432877) and [Python](https://www.python.org/downloads/) (3.6 or higher).
2. Linux or Windows 11 (with [WSL](https://docs.microsoft.com/en-us/windows/wsl/install)). Basically if your system can run [Stable Diffusion](https://replicate.com/stability-ai/stable-diffusion).
# Installation
1. Download [Quick UI](https://github.com/cmdr2/stable-diffusion-ui/archive/refs/heads/main.zip) (this project)
2. Unzip: `unzip main.zip`
3. Enter: `cd stable-diffusion-ui-main`
4. Install dependencies: `pip install fastapi uvicorn` (this is the framework and server used by this UI project)
5. Run: `./server.sh` (warning: this will take some time during the first run, since it'll download Stable Diffusion's [docker image](https://replicate.com/stability-ai/stable-diffusion), nearly 17 GiB)
6. Open http://localhost:8000 in your browser
4. Run: `docker-compose up` (warning: this will take some time during the first run, since it'll download Stable Diffusion's [docker image](https://replicate.com/stability-ai/stable-diffusion), nearly 17 GiB)
5. Open http://localhost:8000 in your browser
# Usage
1. Open http://localhost:8000 in your browser (after running `./server.sh` from step 5 previously)
1. Open http://localhost:8000 in your browser (after running `docker-compose up` from step 4 previously)
2. Enter a text prompt, like `a photograph of an astronaut riding a horse` in the textbox.
3. Press `Make Image`. This will take some time, depending on your system's processing power.
4. See the image generated using your prompt. If there's an error, the status message at the top will show 'error' in red.