Instructions to use battleMaster/animal_pose_controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use battleMaster/animal_pose_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("battleMaster/animal_pose_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
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Check out the documentation for more information.
Animal Pose Generation Model
This model can be used to generate images of animals in specific poses. It functions similarly to other ControlNet variants.
Use it in conjunction with YouDream to generate pose-constrained 3D animals.
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