Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Aminrabi/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aminrabi/diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aminrabi/diffusers", 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
| # Utilities | |
| Utility and helper functions for working with 🤗 Diffusers. | |
| ## randn_tensor | |
| [[autodoc]] diffusers.utils.randn_tensor | |
| ## numpy_to_pil | |
| [[autodoc]] utils.pil_utils.numpy_to_pil | |
| ## pt_to_pil | |
| [[autodoc]] utils.pil_utils.pt_to_pil | |
| ## load_image | |
| [[autodoc]] utils.testing_utils.load_image | |
| ## export_to_video | |
| [[autodoc]] utils.testing_utils.export_to_video |