Implementation of Text-To-Image generation using Stable Diffusion on Intel CPU or GPU.
- Linux, Windows, MacOS
- Python <= 3.9.0
- CPU or GPU compatible with OpenVINO.
- Set up and update PIP to the highest version
- Install OpenVINO™ Development Tools 2022.3.0 release with PyPI
- Download requirements
python -m pip install --upgrade pip
pip install openvino-dev[onnx,pytorch]==2022.3.0
pip install -r requirements.txtusage: demo.py [-h] [--model MODEL] [--device DEVICE] [--seed SEED] [--beta-start BETA_START] [--beta-end BETA_END] [--beta-schedule BETA_SCHEDULE]
[--num-inference-steps NUM_INFERENCE_STEPS] [--guidance-scale GUIDANCE_SCALE] [--eta ETA] [--tokenizer TOKENIZER] [--prompt PROMPT] [--params-from PARAMS_FROM]
[--init-image INIT_IMAGE] [--strength STRENGTH] [--mask MASK] [--output OUTPUT]
optional arguments:
-h, --help show this help message and exit
--model MODEL model name
--device DEVICE inference device [CPU, GPU]
--seed SEED random seed for generating consistent images per prompt
--beta-start BETA_START
LMSDiscreteScheduler::beta_start
--beta-end BETA_END LMSDiscreteScheduler::beta_end
--beta-schedule BETA_SCHEDULE
LMSDiscreteScheduler::beta_schedule
--num-inference-steps NUM_INFERENCE_STEPS
num inference steps
--guidance-scale GUIDANCE_SCALE
guidance scale
--eta ETA eta
--tokenizer TOKENIZER
tokenizer
--prompt PROMPT prompt
--params-from PARAMS_FROM
Extract parameters from a previously generated image.
--init-image INIT_IMAGE
path to initial image
--strength STRENGTH how strong the initial image should be noised [0.0, 1.0]
--mask MASK mask of the region to inpaint on the initial image
--output OUTPUT output image namepython demo.py --prompt "Street-art painting of Emilia Clarke in style of Banksy, photorealism"python demo.py --prompt "Photo of Emilia Clarke with a bright red hair" --init-image ./data/input.png --strength 0.5python demo.py --prompt "Photo of Emilia Clarke with a bright red hair" --init-image ./data/input.png --mask ./data/mask.png --strength 0.5| CPU | Time per iter | Total time |
|---|---|---|
| AMD Ryzen 7 4800H | 4.8 s/it | 2.58 min |
| AMD Ryzen Threadripper 1900X | 5.34 s/it | 2.58 min |
| Intel(R) Core(TM) i7-4790K @ 4.00GHz | 10.1 s/it | 5.39 min |
| Intel(R) Core(TM) i5-8279U | 7.4 s/it | 3.59 min |
| Intel(R) Core(TM) i5-8569U @ 2.8GHz (MBP13-2019) | 6.17 s/it | 3.23 min |
| Intel(R) Core(TM) i7-1165G7 @ 2.80GHz | 7.4 s/it | 3.59 min |
| Intel(R) Core(TM) i7-11800H @ 2.30GHz (16 threads) | 2.9 s/it | 1.54 min |
| Intel(R) Core(TM) i7-1280P @ 1.80GHz (6P/8E) | 5.45 s/it | 2.55 min |
| Intel(R) Xeon(R) Gold 6154 CPU @ 3.00GHz | 1 s/it | 33 s |
| Intel Arc A770M | 6.64 it/s | 7.53 s |
- Original implementation of Stable Diffusion: https://github.com/CompVis/stable-diffusion
- diffusers library: https://github.com/huggingface/diffusers
The authors are not responsible for the content generated using this project. Please, don't use this project to produce illegal, harmful, offensive etc. content.