Latent Consistency Model (LCM) LoRA: SDv1 5 Latent Consistency Model (LCM) LoRA was proposed in LCM LoRA: A universal Stable Diffusion Acceleration Module by Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al. It is a distilled consistency adapter for runwayml/stable diffusion v1 5 that allows to reduce the number of inference steps to only between 2 8 steps . Model Params / M lcm lora sdv1 5 67.5 lcm lora ssd 1b 105 lcm lora sdxl 197M Usage LCM LoRA is supported in 🤗 Hugging Face Diffusers library from version v0.23.0 onwards. To run the model, first install the latest version of the Diffusers library as well as peft , accelerate and transformers . audio dataset from the Hugging Face Hub: Note: For detailed usage examples we recommend you to check out our official LCM LoRA docs Text to Image The adapter can be loaded with SDv1 5 or deviratives. Here we use Lykon/dreamshaper 7 . Next, the scheduler needs to be changed to LCMScheduler and we can reduce the number of inference steps to just 2 to 8 steps. Please make sure to either disable guidance scale or use values between 1.0 and 2.0. Image to Image LCM LoRA can be applied to image to image tasks too. Let's look at how we can pe…
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