Latent Consistency Models Official Repository of the paper: Latent Consistency Models . Project Page: https://latent consistency models.github.io Try our Hugging Face demos: Model Descriptions: Distilled from Dreamshaper v7 fine tune of Stable Diffusion v1 5 with only 4,000 training iterations (~32 A100 GPU Hours). Generation Results: By distilling classifier free guidance into the model's input, LCM can generate high quality images in very short inference time. We compare the inference time at the setting of 768 x 768 resolution, CFG scale w=8, batchsize=4, using a A800 GPU. Usage You can try out Latency Consistency Models directly on: To run the model yourself, you can leverage the 🧨 Diffusers library: 1. Install the library: 2. Run the model: For more information, please have a look at the official docs: 👉 https://huggingface.co/docs/diffusers/api/pipelines/latent consistency models latent consistency models Usage (Deprecated) 1. Install the library: 2. Run the model: BibTeX
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