Instructions to use FrankCCCCC/ddpm-ema-10k_cfm-corr-980-ss0.005-ep100-ema-run1 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-980-ss0.005-ep100-ema-run1 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-980-ss0.005-ep100-ema-run1", 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 ckpt/optimizer.bin from FrankCCCCC/ddpm-ema-10k_cfm-corr-980-ss0.005-ep100-ema-run1: direct link, hf CLI and curl.
- Browser
- Download file 286 MB
-
https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-980-ss0.005-ep100-ema-run1/resolve/main/ckpt/optimizer.bin
- Command line
-
hf download hf://FrankCCCCC/ddpm-ema-10k_cfm-corr-980-ss0.005-ep100-ema-run1/ckpt/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-980-ss0.005-ep100-ema-run1/resolve/main/ckpt/optimizer.bin
286 MB
- Xet hash:
- 54c78a63484fd70da09e322c7ab511c2cca4f635ee709e59cc754fb974208f2f
- Size of remote file:
- 286 MB
- SHA256:
- bdd6403a865b23d25b673e89fe92b9b1beeacca6e30995a838344a1d4d656a81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.