Instructions to use SidXXD/Romanticism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/Romanticism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/Romanticism", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a sks art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/Romanticism: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/Romanticism/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/Romanticism/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/Romanticism/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 0c22849291764657837a8a42b6f11d990b07d9616c1f3d8f68df0940e6189a45
- Size of remote file:
- 76.7 MB
- SHA256:
- 5b40db99bfb49abd42b42ee01b07266e7d9d08b03aa15cd5f4cee3864a773794
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