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
- Draw Things
- DiffusionBee
- Xet hash:
- 573acab704f3558625a1f68fac6f2a332d40a62bedeccd6d3187d186c4354f91
- Size of remote file:
- 431 kB
- SHA256:
- 00e31e9d12a7527fcdd90c94333c4ddf50cecc6efc4cbea8691f1c21d6c45663
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