Instructions to use uyoung-jeong/sd3.5-handpose-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uyoung-jeong/sd3.5-handpose-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("uyoung-jeong/sd3.5-handpose-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
SD 3.5 Hand Pose ControlNet
GitHub link: https://github.com/uyoung-jeong/sd3.5_handpose_controlnet
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stabilityai/stable-diffusion-3.5-large