Instructions to use krnl/control_v11p_sd15_canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krnl/control_v11p_sd15_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("krnl/control_v11p_sd15_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
File size: 135 Bytes
5447ca9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:62364453cb4230f0e94669b4d36d723c292622268c3d5e30ed4aff128c7509f1
size 1445254969
|