Instructions to use Guizmus/SDArt_Complete_Edition768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SDArt_Complete_Edition768 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_Edition768", 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
- Xet hash:
- 20a36f9f1fd5d1052e44104dd2e821b0dcfabbcf4390671e7622411681245ee1
- Size of remote file:
- 1.36 GB
- SHA256:
- ca9d778b0283a1fabc6354d242d68e46e57de08fe4005d25c91fbc501dbd8468
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