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model checkpoint #31
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Thanks for your interest in our work. While these checkpoints are cleaned before I leave Tencent. The training process of InstructPix2Pix and MagicBrush with our data is simple. We adopt the code from here with InstructPix2Pix and MagicBrush initialization with our datasets. You could simply reproduce it if you are interested. |
请问,在其他数据集上微调也是邮件链接中的代码吗
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| From | ***@***.***> |
| Date | 09/28/2024 13:28 |
| To | ***@***.***> |
| Cc | ***@***.***>***@***.***> |
| Subject | Re: [TencentARC/SmartEdit] model checkpoint (Issue #31) |
Thanks for your interest in our work. While these checkpoints are cleaned before I leave Tencent. The training process of InstructPix2Pix and MagicBrush with our data is simple. We adopt the code from here[https://github.com/huggingface/diffusers/blob/main/examples/instruct_pix2pix/train_instruct_pix2pix.py] with our datasets. You could simply reproduce it if you are interested.
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We use the same training scripts like we train SmartEdit (deepspeed + huggingface trainer), while we adopt the data and model parts from the above link. All experiments are conducted like this. |
Could you please provide the models that fine-tuned these methods (InstructPix2Pix, MagicBrush,) with the same dataset as SmartEdit?
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