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 Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from hf-internal-testing/tiny-sdxl-custom-all: direct link, hf CLI and curl.
- Browser
- Download file 8.08 MB
-
https://huggingface.co/hf-internal-testing/tiny-sdxl-custom-all/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-sdxl-custom-all/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-sdxl-custom-all/resolve/main/unet/diffusion_pytorch_model.bin
8.08 MB
- Xet hash:
- 51c3f2460cf670807a6a33a936c060bddfd4b4d7f07d5a8a4b9907ea872b0a06
- Size of remote file:
- 8.08 MB
- SHA256:
- 4d6093265f73fe68d5f3f5ed18228bfa91fa23b11baaf9f7f9663b25cc605d26
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