Instructions to use fusing/ddpm-celeba-hq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/ddpm-celeba-hq with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fusing/ddpm-celeba-hq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler_config.json from fusing/ddpm-celeba-hq: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/fusing/ddpm-celeba-hq/resolve/main/scheduler_config.json
- Command line
-
hf download hf://fusing/ddpm-celeba-hq/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/fusing/ddpm-celeba-hq/resolve/main/scheduler_config.json
173 Bytes
| { | |
| "_class_name": "GaussianDDPMScheduler", | |
| "beta_end": 0.02, | |
| "beta_schedule": "linear", | |
| "beta_start": 0.0001, | |
| "timesteps": 1000, | |
| "variance_type": "fixed_small" | |
| } | |