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StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

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python -m pip install --pre -i https://pypi.nvidia.com tensorrt==9.0.1.post11.dev4 Looking in indexes: https://pypi.nvidia.com Collecting tensorrt==9.0.1.post11.dev4 Using cached tensorrt-9.0.1.post11.dev4-py2.py3-none-any.whl Collecting tensorrt-libs==9.0.1.post11.dev4 (from tensorrt==9.0.1.post11.dev4) Using cached https://pypi.nvidia.com/tensorrt-libs/tensorrt_libs-9.0.1.post11.dev4-py2.py3-none-manylinux_2_17_x86_64.whl (1060.6 MB) Collecting tensorrt-bindings==9.0.1.post11.dev4 (from tensorrt==9.0.1.post11.dev4)...

TypeError: streamdiffusion.acceleration.tensorrt.compile_unet() got multiple values for keyword argument 'opt_batch_size' ?

効果は非常によく似ています (https://github.com/shadowcz007/comfyui-mixlab-nodes) これは新しい加速モデルを最初から作成したのでしょうか? それともリアルタイム ペイント機能を分離して単独で使用しただけですか? 選択領域をドラッグして調整することはできませんか? 生成されるステップ数を調整することはできませんか?サンプラースケジューラーなどを変更しますか?まったく機能がないのですか?

Demo Notes * Frontend in Svelte * Backend: FastAPI / WebSocket / MJPEG stream * Wrapper is copied and modified here to accept a prompt for `img2img` and `engine_dir`, allowing...

fixes for show loader use abortcontroller array cancel pending fetch image

I am using the img2img example given in the readme. But it doesn't compile tensorrt successfully. I got such an error: ``` RuntimeError: Given groups=1, weight of size [64, 3,...

Thanks for the open source code, but I got the following error when using acceleration="tensorrt": [E] 3: [executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046] Error Code 3: API Usage Error (Parameter check failed at: runtime/api/executionContext.cpp::nvinfer1::rt::ExecutionContext::validateInputBindings::2046, condition:...

Just to be clear, this repo is for CUDA enabled devices only, correct? On initially testing, mps doesn't seem to work.

ERROR: Package 'streamdiffusion-0.1.0' requires a different Python: 3.8.10 not in '>=3.10.0'