Instructions to use Claquasse/Anima-Control-Pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Claquasse/Anima-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("Claquasse/Anima-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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 3f057a22121337610484b99729fef7deee262a325d4ff60726417babe433afdb
- Size of remote file:
- 5.89 MB
- SHA256:
- fb79ff8d1578e0e3e47efb3918831dbdb94602e01322aa7c06afed3b30a89395
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