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:
- 67eea56471a024e0226e7aa5f89edf5bec1aec50cb1dd097005a3aaaf9db7819
- Size of remote file:
- 7.92 MB
- SHA256:
- fed31ac1c90efa34dc35ea81f5b15c1f04f52cba3cb0a965d6473dd81afeddfd
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