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Starting
on
A100
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README.md
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@@ -21,6 +21,7 @@ You need CUDA and Python 3.10, Mac with an M1/M2/M3 chip or Intel Arc GPU
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`TIMEOUT`: limit user session timeout
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`SAFETY_CHECKER`: disabled if you want NSFW filter off
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`MAX_QUEUE_SIZE`: limit number of users on current app instance
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### image to image
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uvicorn "app-img2img:app" --host 0.0.0.0 --port 7860 --reload
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```
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### text to image
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```bash
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`TIMEOUT`: limit user session timeout
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`SAFETY_CHECKER`: disabled if you want NSFW filter off
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`MAX_QUEUE_SIZE`: limit number of users on current app instance
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`TORCH_COMPILE`: enable if you want to use torch compile for faster inference
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### image to image
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uvicorn "app-img2img:app" --host 0.0.0.0 --port 7860 --reload
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```
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### image to image ControlNet Canny
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Based pipeline from [taabata](https://github.com/taabata/LCM_Inpaint_Outpaint_Comfy)
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```bash
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python -m venv venv
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source venv/bin/activate
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pip3 install -r requirements.txt
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uvicorn "app-controlnet:app" --host 0.0.0.0 --port 7860 --reload
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```
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### text to image
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```bash
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