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
File size: 359 Bytes
f982501 ee62b9b 25d204e ee62b9b | 1 2 3 4 5 6 7 8 9 10 11 12 13 | ---
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). |