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
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