Instructions to use Torba2345/uv_art_generatior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Torba2345/uv_art_generatior with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Torba2345/uv_art_generatior", 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 imageew23e2e2.png from Torba2345/uv_art_generatior: direct link, hf CLI and curl.
- Browser
- Download file 487 kB
-
https://huggingface.co/Torba2345/uv_art_generatior/resolve/main/imageew23e2e2.png
- Command line
-
hf download hf://Torba2345/uv_art_generatior/imageew23e2e2.png
-
curl -L -o imageew23e2e2.png https://huggingface.co/Torba2345/uv_art_generatior/resolve/main/imageew23e2e2.png
487 kB

- Xet hash:
- 546b24cae91c179c4e8515296a917bae57f67ea1d4f836decbc42969e953da12
- Size of remote file:
- 487 kB
- SHA256:
- 3c07d0e1c53c89c1802a957a024f6d97dafe83735a7727fb1f1a3a7a95fead4f
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