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
| # What is safetensors ? | |
| [safetensors](https://github.com/huggingface/safetensors) is a different format | |
| from the classic `.bin` which uses Pytorch which uses pickle. | |
| Pickle is notoriously unsafe which allow any malicious file to execute arbitrary code. | |
| The hub itself tries to prevent issues from it, but it's not a silver bullet. | |
| `safetensors` first and foremost goal is to make loading machine learning models *safe* | |
| in the sense that no takeover of your computer can be done. | |
| # Why use safetensors ? | |
| **Safety** can be one reason, if you're attempting to use a not well known model and | |
| you're not sure about the source of the file. | |
| And a secondary reason, is **the speed of loading**. Safetensors can load models much faster | |
| than regular pickle files. If you spend a lot of times switching models, this can be | |
| a huge timesave. | |