Instructions to use phanthang/Doraemon_Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phanthang/Doraemon_Controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("phanthang/Doraemon_Controlnet", 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:
- 5a0ab3fa5f33f4e0e8d54960a7a4d5040f907b7b5e43cb01d2d70e7f38291d2e
- Size of remote file:
- 1 kB
- SHA256:
- 0525f79f91f0c8343c97023de54905e4c97dfd0399b7ee0f1920f229b1e554fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.