Instructions to use jellyw/landscape-rendering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jellyw/landscape-rendering with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jellyw/landscape-rendering", 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:
- 282ce10d85c291061aebac1515e2f7b344a1a6fd185f395734da71512f7a2e7e
- Size of remote file:
- 3.44 GB
- SHA256:
- 7cf3dd826033bc6a38a245ee849303462e856b51d3e427ef9620541e46d92405
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