Instructions to use valhalla/t2i-canny-euler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use valhalla/t2i-canny-euler with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("valhalla/t2i-canny-euler", 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:
- e3a82f3eafb248aff790919b156a6127c9d7ad338f0a831ebfb1c2fd123dd870
- Size of remote file:
- 310 MB
- SHA256:
- 27f4b53f8d9c10ffcb93215df408a2774e9998aaf7f5fd6c2fcb5bbe9d487299
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