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:
- f97ce8c5454f6714e6239b707f0c971ebb8f23701aaf1a13a71fd555b0420be5
- Size of remote file:
- 306 kB
- SHA256:
- 21086f503ac508b05ea74abf51b676c1b99c6f9c23c28f7aecc71cdd138dc385
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