Instructions to use haowu11/Kolors-Controlnet-Pose-Tryon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haowu11/Kolors-Controlnet-Pose-Tryon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haowu11/Kolors-Controlnet-Pose-Tryon", 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
Commit History
-
Delete kolors
Verified signature21f6cc6 -
Delete kolors/models/123.txt
Verified signature5f507f2 -
Upload controlnet.py
Verified signatureb90cf88 -
Create models/123.txt
Verified signature6fee6b6 -
Create kolors/piplines/123.txt
Verified signature9e2255b
-
Create README.md
Verified signature60423c6
-
Upload 2 files
Verified signature5525a07 -
initial commit
Verified signature494adc8