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--- |
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title: StreamDiffusion Realtime Txt2img |
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emoji: 👁 |
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colorFrom: red |
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colorTo: yellow |
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sdk: docker |
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app_port: 9090 |
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pinned: false |
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--- |
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# Txt2Img Example |
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<p align="center"> |
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<img src="./assets/example.gif" width=80%> |
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</p> |
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This example provides a simple implementation of the use of StreamDiffusion to generate images from text. |
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## Usage |
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```bash |
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chmod +x ./start.sh && ./start.sh |
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``` |
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or |
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```bash |
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cd server |
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python3 main.py & |
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cd ../view |
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npm start |
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``` |
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## Docker |
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Build |
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`GITHUB_TOKEN` is temp until project is public |
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```bash |
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docker build --secret id=GITHUB_TOKEN,src=./github_token.txt -t realtime-txt2img . |
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``` |
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Run |
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```bash |
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docker run -ti -p 9090:9090 -e HF_HOME=/data -v ~/.cache/huggingface:/data --gpus all realtime-txt2img |
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``` |
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`-e HF_HOME=/data -v ~/.cache/huggingface:/data` is used to mount your local huggingface cache to the container, so that you don't need to download the model again. |
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