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 token_identifier.txt from jefsnacker/lunar-surface: direct link, hf CLI and curl.
- Browser
- Download file 19 Bytes
-
https://huggingface.co/jefsnacker/lunar-surface/resolve/main/token_identifier.txt
- Command line
-
hf download hf://jefsnacker/lunar-surface/token_identifier.txt
-
curl -L -o token_identifier.txt https://huggingface.co/jefsnacker/lunar-surface/resolve/main/token_identifier.txt
19 Bytes
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