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happylittlecat2333 avatar happylittlecat2333 commented on June 1, 2024 1

They have similar performance since I trained them with same datasets.

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happylittlecat2333 avatar happylittlecat2333 commented on June 1, 2024

Thanks for your attention! Because my auffusion_pipeline try to explore different combination of text encoder, therefore I try to hack the default StableDiffusionPipeline and add these variables. On the other hand, I trained another model and it can use the default StableDiffusionPipeline in notebook, you can try to use this model in Diffusers==0.25.1 and it might work.

PS: the attention-based method in notebook depend on Diffusers=0.18, therefore method except attention-based might work fine in your case.

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IFICL avatar IFICL commented on June 1, 2024

Thanks for your reply. This is helpful. I wonder what the performance gap between Auffusion-Full-no-adapter and Auffusion-Full.

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