Instructions to use Linus4Lyf/papercraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linus4Lyf/papercraft with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Linus4Lyf/papercraft", 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 unet/diffusion_pytorch_model.bin from Linus4Lyf/papercraft: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Linus4Lyf/papercraft/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Linus4Lyf/papercraft/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Linus4Lyf/papercraft/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- c33349299e3a9d53e0bbf2de55debf57d1ea17ba1741e8a4c6839a29524aa8dc
- Size of remote file:
- 3.44 GB
- SHA256:
- b090e94c2141432167c9c2dcfa15672c3c59f4a32a148b6601243c0e741f14e7
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