Instructions to use FrankCCCCC/ddpm-ema-10k_cfm-corr-500-ss0.005-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-500-ss0.005-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-500-ss0.005-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 ckpt/optimizer.bin from FrankCCCCC/ddpm-ema-10k_cfm-corr-500-ss0.005-ep100-ema-run0: direct link, hf CLI and curl.
- Browser
- Download file 286 MB
-
https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-500-ss0.005-ep100-ema-run0/resolve/main/ckpt/optimizer.bin
- Command line
-
hf download hf://FrankCCCCC/ddpm-ema-10k_cfm-corr-500-ss0.005-ep100-ema-run0/ckpt/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-500-ss0.005-ep100-ema-run0/resolve/main/ckpt/optimizer.bin
286 MB
- Xet hash:
- 7914b3fa14e415fb96081de61b16d72066652ec5558a40b786850d5199117083
- Size of remote file:
- 286 MB
- SHA256:
- 48fc5ac08e81acf2482c5a93bd0a3eea7f30fd735515eecb58d4b2d5af6961a1
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