Instructions to use Muhammadreza/ds-test-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/ds-test-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Muhammadreza/ds-test-1", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d77a45233726cfaf578f70c73e4591b51a2dc1fd57a8398a9a3e77ebed8cd223
- Size of remote file:
- 3.44 GB
- SHA256:
- e73d9b697ee22b25cbf1a2ecf04c46a17ea5072896478db02a7080cff8fea0e7
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