Instructions to use Guizmus/SDArt_ChaosAndOrder768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SDArt_ChaosAndOrder768 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_ChaosAndOrder768", 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_ChaosAndOrder768: direct link, hf CLI and curl.
- Browser
- Download file 3.86 MB
-
https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768/resolve/main/dataset.zip
- Command line
-
hf download hf://Guizmus/SDArt_ChaosAndOrder768/dataset.zip
-
curl -L -o dataset.zip https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768/resolve/main/dataset.zip
3.86 MB
- Xet hash:
- 602c5c3a60d1e81001d929d2401c918d628c4cf53c8417fc2ff96454f96e2e34
- Size of remote file:
- 3.86 MB
- SHA256:
- 39f38e3cfd479ae19fb533792bd58b147207e80de0c2d4d561fd51b9ba437a15
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