Instructions to use hf-internal-testing/tiny-sdxl-custom-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sdxl-custom-all 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-sdxl-custom-all", 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 Settings
- Draw Things
- DiffusionBee
Commit History
-
fix import wr.t. PR #6630
Verified signature1fe845b
-
Update unet/my_unet_model.py (#1)
- Update unet/my_unet_model.py (8ec3bf760930746b3df00aa78bd33dcb6ebff992)29f2cbe
-
Update model_index.json
9389b73 -
Update README.md
7cc75c3 -
Duplicate from hf-internal-testing/tiny-sdxl-custom-components
03c0c42