Update the readme of the diffusers sdxl&sd. #655
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Fzilan
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Sep 10, 2024
| @@ -15,6 +15,9 @@ Before running the scripts, make sure to install the library's training dependen | |||
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| **Important** | |||
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| The training script is compute-intensive and only runs on an Ascend 910*. Please run the scripts with CANN version ([CANN 7.3.0.1.231](https://www.hiascend.com/developer/download/community/result?module=cann&cann=8.0.RC2.beta1)) and MindSpore version ([MS2.3.0](https://www.mindspore.cn/versions#2.3.0)); You can use | |||
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CANN 7.3.0.1.231 (link: cann=8.0.RC2.beta1)
| |--------|------|------------------------|--------------|-----------|---------------|---------------------|------------------| | ||
| | lora | 1 | 1*1 | 512x512 | FP16 | 1~5 mins | 200 | 5.00 | | ||
| | lora | 8 | 1*8 | 512x512 | FP16 | 1~5 mins | 231 | 34.63 | | ||
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| ### Inference | ||
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| Once you have trained a model using above command, the inference can be done simply using the `StableDiffusionPipeline` after loading the trained LoRA weights. You |
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这里介绍训出来的lora权重是 sd-onepiece-model-lora，下面的推理命令没有延续训出来的onepiece，而是直接跳到从hub下Pokemon，performance 紧接着展示了one piece的训练效果；建议调整
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Fzilan
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Sep 10, 2024
| @@ -83,13 +134,6 @@ In a nutshell, LoRA allows adapting pretrained models by adding pairs of rank-de | |||
| With LoRA, it's possible to fine-tune Stable Diffusion on a custom image-caption pair dataset | |||
| on consumer GPUs like Tesla T4, Tesla V100. | |||
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What does this PR do?
Update the readme of sdxl and sd in diffusers and supplement the experimental data.
Fixes # (issue)
Adds # (feature)
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