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", torch_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:
- 476ed8f0adf5f8b3bbfe5b7d87df1180cb89719535aa14bbacc6771cdd89a787
- Size of remote file:
- 134 Bytes
- SHA256:
- 86ac78903c812d408c5dbec55776b6b68992c8d71848f438e7dc022b1f845bda
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