Instructions to use jefsnacker/lunar-surface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jefsnacker/lunar-surface with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jefsnacker/lunar-surface", 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 concept_images/moon_10.jpg from jefsnacker/lunar-surface: direct link, hf CLI and curl.
- Browser
- Download file 74.7 kB
-
https://huggingface.co/jefsnacker/lunar-surface/resolve/main/concept_images/moon_10.jpg
- Command line
-
hf download hf://jefsnacker/lunar-surface/concept_images/moon_10.jpg
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curl -L -o moon_10.jpg https://huggingface.co/jefsnacker/lunar-surface/resolve/main/concept_images/moon_10.jpg
74.7 kB
