Instructions to use Sijvert/roofscape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sijvert/roofscape with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sijvert/roofscape", 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:
- 7e59fd2d622dd8ba43289ee06ec1faa403d0fb64cffdb79678e1bc32eddeb93f
- Size of remote file:
- 681 MB
- SHA256:
- 19db7093a77cb9185f965c60d422c97ec402c61d0f3aeecf78fa03cdefe65a7d
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