Instructions to use patrickvonplaten/test_sd_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/test_sd_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("patrickvonplaten/test_sd_1", 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 scenery.png from patrickvonplaten/test_sd_1: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/patrickvonplaten/test_sd_1/resolve/refs%2Fpr%2F13/scenery.png
- Command line
-
hf download hf://patrickvonplaten/test_sd_1@refs/pr/13/scenery.png
-
curl -L -o scenery.png https://huggingface.co/patrickvonplaten/test_sd_1/resolve/refs%2Fpr%2F13/scenery.png
1.16 MB

- Xet hash:
- 849760224c077cec5c9dc56c70734137388f371285cc146a6348f9372fdfb427
- Size of remote file:
- 1.16 MB
- SHA256:
- f316b848ba93cfbbf980ddee8a72ad6ca1ab463638cd5a72ef8d213685991f09
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