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:
- 6e1b3c46055be150d28c1a1f94573b2d5e09f70c170f8805a7aee19b4aa139e2
- Size of remote file:
- 1.01 GB
- SHA256:
- e426277db86517335d4b0bc02b3d456bb812b2a8726ea010635686f77373be36
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