Instructions to use RzZ/sd-v1-4-adapter-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RzZ/sd-v1-4-adapter-canny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RzZ/sd-v1-4-adapter-canny", 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:
- ef6491e74ba2bae3717060356891061b2347b606c056fb365b96df00b44db95f
- Size of remote file:
- 308 MB
- SHA256:
- 3fb35d666889f622f7c499c5c11a8e94dabd9231029a13a5efd736364e76a987
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