Instructions to use KamCastle/copaxRealistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/copaxRealistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/copaxRealistic", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download copaxDiffusers/unet/diffusion_pytorch_model.bin from KamCastle/copaxRealistic: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/KamCastle/copaxRealistic/resolve/refs%2Fpr%2F2/copaxDiffusers/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://KamCastle/copaxRealistic@refs/pr/2/copaxDiffusers/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/KamCastle/copaxRealistic/resolve/refs%2Fpr%2F2/copaxDiffusers/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 9a60278ef50633ca08fe6bb4aff04cc42632849effdff5cb24ca46c97346fdb8
- Size of remote file:
- 3.44 GB
- SHA256:
- 6081e1061394c469ad487ec91303dfc7b8a434f00e7c15a167f99ec829ca4673
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