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 ckpt/scheduler.bin from FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/resolve/main/ckpt/scheduler.bin
- Command line
-
hf download hf://FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/ckpt/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-5-ss0.0-ep100-ema-run0/resolve/main/ckpt/scheduler.bin
1.47 kB
- Xet hash:
- af76bcf4f37cf2f084321969afb517cbbc5ad24e58772995f22d9d80b26b82ff
- Size of remote file:
- 1.47 kB
- SHA256:
- 61075d077748e9637aab9b774944a7d50da6dc5d37153967dc1718a620cd1aa6
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