Instructions to use Guizmus/SDArt_Complete_Edition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SDArt_Complete_Edition 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_Complete_Edition", 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 text_encoder/pytorch_model.bin from Guizmus/SDArt_Complete_Edition: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Guizmus/SDArt_Complete_Edition/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Guizmus/SDArt_Complete_Edition/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Guizmus/SDArt_Complete_Edition/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- bac1798d36c3dfc01de10630f343b083c6d80da3a2e4b0f3db13a6da79d4440c
- Size of remote file:
- 492 MB
- SHA256:
- 9b83eed93679401912ff800a0a386eb48a0ee41d00d844db09cb6b926eab47b1
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