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update readme
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@@ -27,10 +27,12 @@ Bo Dai
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## Setup for Inference
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### Prepare Environment
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Our approach takes around 60 GB GPU memory to inference. NVIDIA A100 is recommanded.
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~~Our approach takes around 60 GB GPU memory to inference. NVIDIA A100 is recommanded.~~
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***We updated our inference code with xformers and a sequential decoding trick. Now AnimateDiff takes only ~12GB VRAM to inference, and can be run on a single RTX3090 !!***
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```
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git clone https://github.com/guoyww/animatediff.git
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git clone https://github.com/guoyww/AnimateDiff.git
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cd AnimateDiff
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conda env create -f environment.yaml
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@@ -107,7 +109,7 @@ Here we demonstrate several best results we found in our experiments or generate
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<td><img src="__assets__/animations/model_07/04.gif"></td>
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</tr>
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</table>
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<p style="margin-left: 2em; margin-top: -1em">Model:<a href="https://civitai.com/models/107295?modelVersionId=115371">holding_sign</a> (samples are contributed by CivitAI artists)</p>
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<p style="margin-left: 2em; margin-top: -1em">Model:<a href="https://civitai.com/models/107295?modelVersionId=115371">holding_sign</a>, etc. (samples are contributed by CivitAI artists)</p>
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<table class="center">
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<tr>
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