Skip to content

Latest commit

 

History

History
45 lines (37 loc) · 2.66 KB

README.md

File metadata and controls

45 lines (37 loc) · 2.66 KB
Raw

Stable Diffusion

In this directory, you will find examples on how to run StableDiffusion models on CPU.

1. Installation

1.1. Install IPEX-LLM

Follow the instructions in IPEX-LLM CPU installation guide to install ipex-llm. We recommend to use miniconda to manage your python environment.

1.2 Install dependencies for Stable Diffusion

Assume you have created a conda environment named diffusion with ipex-llm installed. Run below commands to install dependencies for running Stable Diffusion.

conda activate diffusion
pip install diffusers["torch"] transformers
pip install -U PEFT transformers
pip install setuptools==69.5.1

2. Examples

2.1 StableDiffusion XL Example

The example shows how to run StableDiffusion XL example on Intel CPU.

python ./sdxl.py

Arguments info:

  • --repo-id-or-model-path REPO_ID_OR_MODEL_PATH: argument defining the huggingface repo id for the stable diffusion xl model (e.g. stabilityai/stable-diffusion-xl-base-1.0) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'stabilityai/stable-diffusion-xl-base-1.0'.
  • --prompt PROMPT: argument defining the prompt to be infered. It is default to be 'An astronaut in the forest, detailed, 8k'.
  • --save-path: argument defining the path to save the generated figure. It is default to be sdxl-cpu.png.
  • --num-steps: argument defining the number of inference steps. It is default to be 20.

The sample output image looks like below. image

4.2 LCM-LoRA Example

The example shows how to performing inference with LCM-LoRA on Intel CPU.

python ./lora-lcm.py

Arguments info:

  • --repo-id-or-model-path REPO_ID_OR_MODEL_PATH: argument defining the huggingface repo id for the stable diffusion xl model (e.g. stabilityai/stable-diffusion-xl-base-1.0) to be downloaded, or the path to the huggingface checkpoint folder. It is default to be 'stabilityai/stable-diffusion-xl-base-1.0'.
  • --lora-weights-path: argument defining the huggingface repo id for the LCM-LoRA model (e.g. latent-consistency/lcm-lora-sdxl) to be downloaded, or the path to huggingface checkpoint folder. It is default to be 'latent-consistency/lcm-lora-sdxl'.
  • --prompt PROMPT: argument defining the prompt to be infered. It is default to be 'A lovely dog on the table, detailed, 8k'.
  • --save-path: argument defining the path to save the generated figure. It is default to be lcm-lora-sdxl-cpu.png.
  • --num-steps: argument defining the number of inference steps. It is default to be 4.