Instructions to use Guizmus/SDArt_Encapsulated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SDArt_Encapsulated with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Guizmus/SDArt_Encapsulated", 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 dataset.zip from Guizmus/SDArt_Encapsulated: direct link, hf CLI and curl.
- Browser
- Download file 11.9 MB
-
https://huggingface.co/Guizmus/SDArt_Encapsulated/resolve/main/dataset.zip
- Command line
-
hf download hf://Guizmus/SDArt_Encapsulated/dataset.zip
-
curl -L -o dataset.zip https://huggingface.co/Guizmus/SDArt_Encapsulated/resolve/main/dataset.zip
11.9 MB
- Xet hash:
- c2d482b5972e4d84c3afa1642939f37724de826c053ec92f07efd5f0855d2558
- Size of remote file:
- 11.9 MB
- SHA256:
- 4de8460d821853ba3c8832b6efcf4c51fa0af688be68bc6cb29064017ac5a984
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