Stable Diffusion 3 represents the latest evolution in text-to-image generation technology, offering unprecedented capabilities in creating photorealistic images from textual descriptions. This advanced latent diffusion model incorporates cutting-edge architectural improvements and training techniques, resulting in enhanced image quality and prompt comprehension. With its ability to generate highly detailed and contextually accurate visuals, Stable Diffusion 3 pushes the boundaries of AI-assisted creativity. The model maintains efficient processing through its latent space operations while delivering state-of-the-art results in image synthesis and generation.
| GPU | IXUCA SDK | Release |
|---|---|---|
| BI-V150 | 4.1.1 | 24.12 |
You just need to run the script, and it will automatically download the required data and weights. Or you can manually download the weights and data locally.
Download the stabilityai/stable-diffusion-3-medium-diffusers from huggingface page.
dataset: download the diffusers/dog-example from huggingface page.
pip3 install http://files.deepspark.org.cn:880/deepspark/add-ons/diffusers-0.29.0-py3-none-any.whl
pip3 install http://files.deepspark.org.cn:880/deepspark/add-ons/transformers-4.38.1-py3-none-any.whl
pip3 install -r ../diffusers/requirements.txt
pip3 install pillow --upgradeIf you have downloaded the weights and dataset, please export the environment variables like below.
export MODEL_PATH=/path/to/sd_weights
export DATASET_PATH=/path/to/data# Go to diffusers path
cd ${PROJ_ROOT}/toolbox/diffusers
# train
bash run_sd3_dreambooth.sh| Model | GPUs | ips_per_device | ips_per_gpu |
|---|---|---|---|
| SD3 | BI-V150 | 4.34 | 8.68 |