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 OpenVINOTM Development Tools 202230 release with PyPI
- Download requirements
python -m pip install --upgrade pip pip install openvino-dev[onnx,pytorch]==202230 pip install -r requirements.txt
usage: 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 name
python 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.