Instructions to use hf-internal-testing/tiny-sdxl-custom-components 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-components 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-components", 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:
- 18cf76b9806cadac985663398b5c70e6ccf495ddaab91af46fca2f48e1b034d1
- Size of remote file:
- 281 kB
- SHA256:
- b99248c7d146aac446d888daa22351a30ee7c60ca4b4a02f5dc04b9a1694d160
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