Instructions to use ainz/hineseLandscapeArt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainz/hineseLandscapeArt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ainz/hineseLandscapeArt", 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
- Xet hash:
- 1c33020ce089ad170125f1316a507cac23b141422a32dfaec7b8ca1d8c382157
- Size of remote file:
- 492 MB
- SHA256:
- 949314e51f4d72ee138ee46b1f8249ee7900e7b97b60a210d2ef65002cceda2c
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