Instructions to use Yntec/Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Backups with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Backups", 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 nitrosocke/redshift-diffusion/unet/diffusion_pytorch_model.bin from Yntec/Backups: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/Backups/resolve/main/nitrosocke/redshift-diffusion/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/Backups/nitrosocke/redshift-diffusion/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/Backups/resolve/main/nitrosocke/redshift-diffusion/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ed763891825f33ddbfbc48c8c4eb5b3a93039181e4098706918813a449f8bea5
- Size of remote file:
- 3.44 GB
- SHA256:
- 1b0e9509ac65690fd5a4dfc573f852bfb37bc33962e2e42f51c0b43077e3c9b7
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