Instructions to use dlcvproj/sd-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dlcvproj/sd-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dlcvproj/sd-test", 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:
- 39e40d241fe9b948c22e328c97925df0a2c73bb0d1165dff9654dca12fd90407
- Size of remote file:
- 134 Bytes
- SHA256:
- 31e67a41d4d6fa524db441f32d2273cb73bd5c2d854f05895146bfb6b7841392
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