Latent Consistency Model (LCM) LoRA: SDXL
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 stable-diffusion-xl-base-1.0 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:
pip install --upgrade pip
pip install --upgrade diffusers transformers accelerate peft
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 it's base model stabilityai/stable-diffusion-xl-base-1.0. 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.
Text-to-Image
The adapter can be loaded with it's base model stabilityai/stable-diffusion-xl-base-1.0. 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.### Text-to-Image
The adapter can be loaded with it's base model stabilityai/stable-diffusion-xl-base-1.0. 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.### Text-to-Image
The adapter can be loaded with it's base model stabilityai/stable-diffusion-xl-base-1.0. 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.
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