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GitHub / dhanushreddy291 / sdxl-turbo-cog
SDXL-Turbo is a real-time synthesis model, derived from SDXL 1.0, and utilizes a training method called Adversarial Diffusion Distillation (ADD). It achieves high image quality within one to four sampling steps
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dhanushreddy291%2Fsdxl-turbo-cog
Stars: 7
Forks: 3
Open Issues: 0
License: mit
Language: Python
Repo Size: 332 KB
Dependencies:
42
Created: 6 months ago
Updated: about 2 months ago
Last pushed: 6 months ago
Last synced: 28 days ago
Topics: replicate, sdxl, sdxlturbo, stable-diffusion
Files
Dependencies
- Jinja2 ==3.1.2
- MarkupSafe ==2.1.3
- Pillow ==10.1.0
- PyYAML ==6.0.1
- accelerate ==0.25.0
- certifi ==2023.11.17
- charset-normalizer ==3.3.2
- diffusers ==0.24.0
- filelock ==3.13.1
- fsspec ==2023.10.0
- huggingface-hub ==0.19.4
- idna ==3.6
- importlib-metadata ==6.9.0
- mpmath ==1.3.0
- networkx ==3.2.1
- numpy ==1.26.2
- nvidia-cublas-cu12 ==12.1.3.1
- nvidia-cuda-cupti-cu12 ==12.1.105
- nvidia-cuda-nvrtc-cu12 ==12.1.105
- nvidia-cuda-runtime-cu12 ==12.1.105
- nvidia-cudnn-cu12 ==8.9.2.26
- nvidia-cufft-cu12 ==11.0.2.54
- nvidia-curand-cu12 ==10.3.2.106
- nvidia-cusolver-cu12 ==11.4.5.107
- nvidia-cusparse-cu12 ==12.1.0.106
- nvidia-nccl-cu12 ==2.18.1
- nvidia-nvjitlink-cu12 ==12.3.101
- nvidia-nvtx-cu12 ==12.1.105
- packaging ==23.2
- psutil ==5.9.6
- regex ==2023.10.3
- requests ==2.31.0
- safetensors ==0.4.1
- sympy ==1.12
- tokenizers ==0.15.0
- torch ==2.1.1
- tqdm ==4.66.1
- transformers ==4.35.2
- triton ==2.1.0
- typing_extensions ==4.8.0
- urllib3 ==2.1.0
- zipp ==3.17.0