support sd3.5 for controlnet example#9860
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@sayakpaul Hi, in this PR, I add sd3.5 to the controlnet example, with only a few lines added! |
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@DavyMorgan can you fix the test? |
Yeah, I have updated the test. |
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@DavyMorgan |
Sure, I can fix that. |
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@yiyixuxu @sayakpaul Could you please run the test workflows again? |
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@sayakpaul I updated the codes. This time it should be ok. :) |
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Thanks for the changes!
Could you provide some example results as well?
Additionally, I hosted the tiny pipe to our testing org:
https://huggingface.co/hf-internal-testing/tiny-sd35-pipe
Could you please change the path accordingly in test_controlnet.py?
I will let @yiyixuxu review the other changes introduced.
| else: | ||
| logger.info("Initializing controlnet weights from transformer") | ||
| controlnet = SD3ControlNetModel.from_transformer(transformer) | ||
| controlnet = SD3ControlNetModel.from_transformer(transformer, num_extra_conditioning_channels=0) |
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Should this be hard-coded like this? Can we use a CLI arg?
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Thanks, I have added a CLI arg.
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@sayakpaul I have updated the codes to use hf-internal-testing/tiny-sd35-pipe. Meanwhile, the example results can be found at the end of examples/controlnet/README_sd3.md. |
| # controlnet residual | ||
| if block_controlnet_hidden_states is not None and block.context_pre_only is False: | ||
| interval_control = len(self.transformer_blocks) // len(block_controlnet_hidden_states) | ||
| interval_control = int(math.ceil(len(self.transformer_blocks) / len(block_controlnet_hidden_states))) |
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sorry I missed this change - any reason we make this change here?
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related ( a little bit overlap with) #9758 |
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@yiyixuxu @sayakpaul Can you run the tests again to check whether it works well with the current HEAD? |
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@DavyMorgan sorry for the late reply. Could you consider the changes introduced in #9758 and repurpose this PR accordingly? |
| pooled_projection_dim: int = 2048, | ||
| out_channels: int = 16, | ||
| pos_embed_max_size: int = 96, | ||
| dual_attention_layers: Tuple[ |
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we already have this change
can you rebase?
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@yiyixuxu @sayakpaul Hi, I have fixed the codes to pass the quality test. Please run the tests again! |
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Sorry for missing the typo😂Now fixed. @yiyixuxu @sayakpaul |
* support sd3.5 in controlnet --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>
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