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
| [tool.black] | |
| line-length = 119 | |
| target-version = ['py37'] | |
| [tool.ruff] | |
| # Never enforce `E501` (line length violations). | |
| ignore = ["C901", "E501", "E741", "W605"] | |
| select = ["C", "E", "F", "I", "W"] | |
| line-length = 119 | |
| # Ignore import violations in all `__init__.py` files. | |
| [tool.ruff.per-file-ignores] | |
| "__init__.py" = ["E402", "F401", "F403", "F811"] | |
| "src/diffusers/utils/dummy_*.py" = ["F401"] | |
| [tool.ruff.isort] | |
| lines-after-imports = 2 | |
| known-first-party = ["diffusers"] | |