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 Untitled5_20250412093727.png from Torba2345/uv_art_generatior: direct link, hf CLI and curl.
- Browser
- Download file 2.98 MB
-
https://huggingface.co/Torba2345/uv_art_generatior/resolve/main/Untitled5_20250412093727.png
- Command line
-
hf download hf://Torba2345/uv_art_generatior/Untitled5_20250412093727.png
-
curl -L -o Untitled5_20250412093727.png https://huggingface.co/Torba2345/uv_art_generatior/resolve/main/Untitled5_20250412093727.png
2.98 MB

- Xet hash:
- 3adc8e2ea4b7d12e7da863ab5cc5a1f86a75cd715b98a0f8e075777ac7e88d35
- Size of remote file:
- 2.98 MB
- SHA256:
- b3d8e4b25f6c22ef96f8a2a2aea9d514637ab1896af48ba62d42e73f9b06d88d
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