PaddleMIX ppdiffusers Stable Diffusion 3 inference optimize #681
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ppdiffusers/deploy/sd3/README.md
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| 高性能推理指令： | ||
| ```shell | ||
| #step1: 生成FP32的TRT模型 |
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生成FP32的paddle模型，同时根据Paddle模型生成FP16的TensorRT engine。
| @@ -99,6 +109,29 @@ def __init__( | |||
| for i in range(self.config.num_layers) | |||
| ] | |||
| ) | |||
| if self.inference_optimize: | |||
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这里加一句 del self.transformer_blocks
| ) | ||
| return encoder_hidden_states, hidden_states | ||
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| @paddle.incubate.jit.inference( |
| @@ -88,6 +89,7 @@ def __init__( | |||
| use_quant_conv: bool = True, | |||
| use_post_quant_conv: bool = True, | |||
| ): | |||
| os.environ["USE_PPXFORMERS"] = "False" | |||
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这里解释下为什么我们需要将其设置为False吧
| ) | ||
| ) | ||
| state_dict[f"simplified_sd3.eqkv.{i}.bias"] = paddle.assign( |
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paddle.assign(没必要存在，删了吧
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| # 安装develop版本的paddle | ||
| python -m pip install --pre paddlepaddle-gpu -i https://www.paddlepaddle.org.cn/packages/nightly/cu123/ | ||
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这里加一句，请使用2024年9月6日之后的PaddleNLP，因为在该天，我们修复了一个针对PaddleNLP的bug。
https://github.com/PaddlePaddle/PaddleNLP/pull/9016/files
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| @classmethod | ||
| def custom_modify_weight(cls, state_dict): |
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这里需要加上，如果不是self.inference_optimize，那么需要直接return
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