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Rinon Gal

@RinonGal

calendar_today17-12-2020 22:36:16

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Announcing our new work: lcm-lookahead.github.io 🥳

We improve IP-Adapter by training with a new identity-lookahead loss and synthetic, consistent data.

The key idea is to propagate image-space losses (ID, CLIP) through LCM-LoRA instead of single-step DDPM approximations.
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Announcing our new work: lcm-lookahead.github.io 🥳 We improve IP-Adapter by training with a new identity-lookahead loss and synthetic, consistent data. The key idea is to propagate image-space losses (ID, CLIP) through LCM-LoRA instead of single-step DDPM approximations. 1/5
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