Instructions to use FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download result.json from FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0: direct link, hf CLI and curl.
- Browser
- Download file 200 Bytes
-
https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/resolve/main/result.json
- Command line
-
hf download hf://FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/result.json
-
curl -L -o result.json https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/resolve/main/result.json
200 Bytes
| { | |
| "corr_M-fid_EP-50_PS-DM_DDPM_PSS-1000_CS-FM_EulDis_CSS-100_SZ-10000_F-png": 8.065274327350437, | |
| "corr_M-fid_EP-80_PS-DM_DDPM_PSS-1000_CS-FM_EulDis_CSS-100_SZ-10000_F-png": 9.688985051722511 | |
| } |