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‎README.md‎

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@@ -199,13 +199,13 @@ models we currently offer, along with their foundational information.
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<td style="text-align: center;">Single GPU Memory Usage<br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16: from 10GB*</b><br><b>diffusers INT8(torchao): from 7GB*</b></td>
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<td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB minimum* </b><br><b>diffusers INT8 (torchao): 3.6GB minimum*</b></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB minimum* </b><br><b>diffusers INT8 (torchao): 4.4GB minimum* </b></td>
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<td style="text-align: center;">Multi-GPU Memory Usage</td>
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<td colspan="2" style="text-align: center;"><b>Not Supported</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
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<td style="text-align: center;"><b>FP16: 10GB* using diffusers</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 15GB* using diffusers</b><br></td>
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<td style="text-align: center;">Download Link (Diffusers)</td>
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<td colspan="2" style="text-align: center;"> Coming Soon </td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>

‎README_ja.md‎

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<td style="text-align: center;">単一GPUメモリ消費量<br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16：10GBから*</b><br><b>diffusers INT8(torchao)：7GBから*</b></td>
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<td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB以上* </b><br><b>diffusers INT8(torchao): 3.6GB以上*</b></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB以上* </b><br><b>diffusers INT8(torchao): 4.4GB以上* </b></td>
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<td style="text-align: center;">複数GPU推論メモリ消費量</td>
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<td colspan="2" style="text-align: center;"><b>非対応</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
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<td style="text-align: center;"><b>FP16: 10GB* diffusers使用</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 15GB* diffusers使用</b><br></td>
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<td style="text-align: center;">ダウンロードリンク (Diffusers)</td>
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<td colspan="2" style="text-align: center;"> 近日公開 </td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>

‎README_zh.md‎

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<td style="text-align: center;">单GPU显存消耗<br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 66GB <br></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 76GB <br><b>diffusers BF16 : 10GB起* </b><br><b>diffusers INT8(torchao): 7G起* </b></td>
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<td style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> FP16: 18GB <br><b>diffusers FP16: 4GB起* </b><br><b>diffusers INT8(torchao): 3.6G起*</b></td>
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<td colspan="2" style="text-align: center;"><a href="https://github.com/THUDM/SwissArmyTransformer">SAT</a> BF16: 26GB <br><b>diffusers BF16 : 5GB起* </b><br><b>diffusers INT8(torchao): 4.4G起* </b></td>
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<td style="text-align: center;">多GPU推理显存消耗</td>
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<td colspan="2" style="text-align: center;"><b>不支持</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 24GB* using diffusers</b><br></td>
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<td style="text-align: center;"><b>FP16: 10GB* using diffusers</b><br></td>
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<td colspan="2" style="text-align: center;"><b>BF16: 15GB* using diffusers</b><br></td>
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<td style="text-align: center;">下载链接 (Diffusers)</td>
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<td colspan="2" style="text-align: center;"> 即将推出 </td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX1.5-5B-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX1.5-5B-I2V">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-2b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-2b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-2b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b">🟣 WiseModel</a></td>
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<td style="text-align: center;"><a href="https://huggingface.co/THUDM/CogVideoX-5b-I2V">🤗 HuggingFace</a><br><a href="https://modelscope.cn/models/ZhipuAI/CogVideoX-5b-I2V">🤖 ModelScope</a><br><a href="https://wisemodel.cn/models/ZhipuAI/CogVideoX-5b-I2V">🟣 WiseModel</a></td>

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