Instructions to use na1taneja2821/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use na1taneja2821/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("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("na1taneja2821/diffusers") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| # Files for typos | |
| # Instruction: https://github.com/marketplace/actions/typos-action#getting-started | |
| [default.extend-identifiers] | |
| [default.extend-words] | |
| NIN="NIN" # NIN is used in scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py | |
| nd="np" # nd may be np (numpy) | |
| parms="parms" # parms is used in scripts/convert_original_stable_diffusion_to_diffusers.py | |
| [files] | |
| extend-exclude = ["_typos.toml"] | |