45 lines
No EOL
2.7 KiB
Markdown
45 lines
No EOL
2.7 KiB
Markdown
# Stable Diffusion
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In this directory, you will find examples on how to run StableDiffusion models on CPU.
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### 1. Installation
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#### 1.1. Install IPEX-LLM
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Follow the instructions in [IPEX-LLM CPU installation guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Overview/install_cpu.html) to install ipex-llm. We recommend to use miniconda to manage your python environment.
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#### 1.2 Install dependencies for Stable Diffusion
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Assume you have created a conda environment named diffusion with ipex-llm installed. Run below commands to install dependencies for running Stable Diffusion.
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```bash
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conda activate diffusion
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pip install diffusers["torch"] transformers
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pip install -U PEFT transformers
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pip install setuptools==69.5.1
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```
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### 2. Examples
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#### 2.1 StableDiffusion XL Example
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The example shows how to run StableDiffusion XL example on Intel CPU.
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```bash
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python ./sdxl.py
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```
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Arguments info:
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- `--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'`.
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- `--prompt PROMPT`: argument defining the prompt to be infered. It is default to be `'An astronaut in the forest, detailed, 8k'`.
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- `--save-path`: argument defining the path to save the generated figure. It is default to be `sdxl-cpu.png`.
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- `--num-steps`: argument defining the number of inference steps. It is default to be `20`.
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The sample output image looks like below.
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#### 4.2 LCM-LoRA Example
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The example shows how to performing inference with LCM-LoRA on Intel CPU.
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```bash
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python ./lora-lcm.py
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```
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Arguments info:
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- `--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'`.
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- `--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'`.
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- `--prompt PROMPT`: argument defining the prompt to be infered. It is default to be `'A lovely dog on the table, detailed, 8k'`.
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- `--save-path`: argument defining the path to save the generated figure. It is default to be `lcm-lora-sdxl-cpu.png`.
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- `--num-steps`: argument defining the number of inference steps. It is default to be `4`. |