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Updated: May 31, 2024
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5740 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
(18)
May 31, 2024
SD 1.5
2600 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
3140 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9
G_U_N
Joined Feb 14, 2023
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30 1 2 3 4 5 6 7 8 9
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Use DDIM or Euler instead of LCM for sampling!
The name of each LoRA weights indicates how many inference steps they should be applied.
The name of each LoRA weights indicates whether they are able to use normal CFGs or small CFGs.
NormalCFG means that model equipped with the LoRA can use CFG value 4-12 for generation.
SmallCFG means that the model equipped with the LoRA can use CFG value 1-2 for generation.
[[paper](https://arxiv.org/abs/2405.18407)]
[[code](https://github.com/G-U-N/Phased-Consistency-Model)]
[[huggingface](https://huggingface.co/wangfuyun)]