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README.md
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<p align="center">
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📃 <a href="https://arxiv.org/html/2406.05768v5" target="_blank">Paper</a> •
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🤗 <a href="https://huggingface.co/OPPOer/TLCM" target="_blank">Checkpoints</a>
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</p>
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<!-- **TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps** -->
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TLCM demonstrates a high level of flexibility by enabling adjustment of sampling steps within the range of 2 to 8 while still producing competitive outputs compared
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to full-step approaches.
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This is for SDXL-base LoRA.
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<p align="center">
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📃 <a href="https://arxiv.org/html/2406.05768v5" target="_blank">Paper</a> •
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</p>
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<!-- **TLCM: Training-efficient Latent Consistency Model for Image Generation with 2-8 Steps** -->
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TLCM demonstrates a high level of flexibility by enabling adjustment of sampling steps within the range of 2 to 8 while still producing competitive outputs compared
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to full-step approaches.
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## This is for SDXL-base LoRA.
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