Instructions to use hf-internal-testing/tiny-sdxl-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sdxl-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-sdxl-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
- Xet hash:
- b640bd6adcb0d7e0940f365e1974d994c32bc889c64bf3c994540a5cf8e37409
- Size of remote file:
- 287 kB
- SHA256:
- e8c4ad9476b2eaf60e61e5e92fe3c8c264dc702d02907e395eddca0fe5600b6b
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