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
Configuration
Schedulers from [~schedulers.scheduling_utils.SchedulerMixin] and models from [ModelMixin] inherit from [ConfigMixin] which stores all the parameters that are passed to their respective __init__ methods in a JSON-configuration file.
To use private or gated models, log-in with huggingface-cli login.
ConfigMixin
[[autodoc]] ConfigMixin - load_config - from_config - save_config - to_json_file - to_json_string