Instructions to use cumprod/control_pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cumprod/control_pose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cumprod/control_pose", 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
- Draw Things
- DiffusionBee
Create README.md
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A tall guy with blue eyes and straight white hair, sits leaning against the wall sensually, a black blindfold tied over his eyes, one of his hands lifts one side of the blindfold and reveals a magnificent blue eye that looks at the viewer with an arrogant and self-confident smile.
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