Instructions to use nitishshukla/pretrained-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitishshukla/pretrained-weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitishshukla/pretrained-weights", 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
Rename generator_250_0.75_0.08928571428571429_0.41964285714285715.pth to dcGAN-AMSL-RF.pth
Browse files
generator_250_0.75_0.08928571428571429_0.41964285714285715.pth → dcGAN-AMSL-RF.pth
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