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# ControlNet | ||
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This example demonstrates how to use the `sd-api-server` to generate images using the stable diffusion model with the openpose control model. | ||
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## Setup | ||
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- Install WasmEdge v0.14.1 | ||
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```bash | ||
curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install_v2.sh | bash -s -- -v 0.14.1 | ||
``` | ||
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If the installation is successful, WasmEdge will be installed in `$HOME/.wasmedge`. | ||
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- Deploy `wasmedge_stablediffusion` plugin | ||
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> [!NOTE] | ||
> For the purpose of demonstration, we will use the stable diffusion plugin for Mac Apple Silicon. You can find the plugin for other platforms [Releases/0.14.1](https://github.com/WasmEdge/WasmEdge/releases/tag/0.14.1) | ||
```bash | ||
# Download stable diffusion plugin for Mac Apple Silicon | ||
curl -LO https://github.com/WasmEdge/WasmEdge/releases/download/0.14.1/WasmEdge-plugin-wasmedge_stablediffusion-metal-0.14.1-darwin_arm64.tar.gz | ||
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# Unzip the plugin to $HOME/.wasmedge/plugin | ||
tar -xzf WasmEdge-plugin-wasmedge_stablediffusion-metal-0.14.1-darwin_arm64.tar.gz -C $HOME/.wasmedge/plugin | ||
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rm $HOME/.wasmedge/plugin/libwasmedgePluginWasiNN.dylib | ||
``` | ||
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## Run sd-api-server | ||
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- Download stable-diffusion model | ||
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```bash | ||
curl -LO https://huggingface.co/second-state/stable-diffusion-v-1-4-GGUF/resolve/main/stable-diffusion-v1-4-Q4_0.gguf | ||
``` | ||
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- Download openpose control model | ||
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```bash | ||
curl -LO https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_openpose-fp16.safetensors | ||
``` | ||
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- Run sd-api-server | ||
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```bash | ||
wasmedge --dir .:. \ | ||
sd-api-server.wasm \ | ||
--model-name sd-v1.4 \ | ||
--model stable-diffusion-v1-4-Q8_0.gguf \ | ||
--control-net control_openpose-fp16.safetensors \ | ||
--task text2image | ||
``` | ||
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## Usage | ||
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- Download the control image | ||
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```bash | ||
curl -LO https://huggingface.co/webui/ControlNet-modules-safetensors/resolve/main/control_2.png | ||
``` | ||
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- Send a POST request to the server to generate an image | ||
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```bash | ||
curl --location 'http://localhost:10086/v1/images/generations' \ | ||
--form 'control_image=@"control_2.png"' \ | ||
--form 'prompt="1girl, high quality, masterpiece, anime style, white dress, sun hat"' \ | ||
--form 'cfg_scale="7"' \ | ||
--form 'sample_method="euler_a"' \ | ||
--form 'steps="20"' \ | ||
--form 'seed="-1"' | ||
``` | ||
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If the request is handled successfully, the server will respond with a JSON object containing the URL of the generated image. | ||
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```json | ||
{ | ||
"created": 1728910462, | ||
"data": [ | ||
{ | ||
"url": "/archives/file_cb247eeb-2507-4a95-9a78-2f4c02a6300e/output.png", | ||
"prompt": "1girl, high quality, masterpiece, anime style, white dress, sun hat" | ||
} | ||
] | ||
} | ||
``` | ||
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The generated image looks like this: | ||
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<div align=center> | ||
<img src="../image/girl_controlnet.png" alt="1girl, high quality, masterpiece, anime style, white dress, sun hat" width="60%" /> | ||
</div> |
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