Instructions to use hf-internal-testing/tiny-stable-diffusion-xl-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-stable-diffusion-xl-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-xl-pipe", 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
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| ```python | |
| from diffusers import DiffusionPipeline | |
| pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-xl-pipe") | |
| ``` | |
| The pipeline was created using this [Colab Notebook](https://colab.research.google.com/gist/sayakpaul/a7b986af7e9ea26562eed4ec1410d766/scratchpad.ipynb). |