Instructions to use xandergos/terrain-diffusion-90m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xandergos/terrain-diffusion-90m with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xandergos/terrain-diffusion-90m", 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
- Xet hash:
- 412267d8b457ad62134835c811fb83ca76ebfe5144c1e44eaccc07b47a4b3247
- Size of remote file:
- 112 MB
- SHA256:
- b6c7fa99f836ad75c514236c9529e18a68ea207ed59dd39fd1341fc9a8a03bcc
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