Instructions to use williamberman/stable-diffusion-v1-5-controlnet-canny-full-no-ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use williamberman/stable-diffusion-v1-5-controlnet-canny-full-no-ema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("williamberman/stable-diffusion-v1-5-controlnet-canny-full-no-ema", 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:
- 76c1f420659fd54e99b13816cc78ce2645ee1836d8ff5dbe225cc8c52cb0b708
- Size of remote file:
- 3.44 GB
- SHA256:
- 38a39a909fa8a46ae21d1925e0f46230258562eb710fbac623e4d5436ab91472
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.