Instructions to use Nayefleb/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nayefleb/testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nayefleb/testing", 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:
- 7351c0dbe991237fab86d59648ade1fdfe73dd1d093667b7e7fc35ec58d0b851
- Size of remote file:
- 246 MB
- SHA256:
- f8e3fa93d5a345569b3fb947652053045b880cac1e3f07d19f5f3faac1208db8
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