Instructions to use Noob-Master60nine/Anima-Control-Pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Noob-Master60nine/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("Noob-Master60nine/Anima-Control-Pose", torch_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:
- fd1db9e194a50cf3b9ae046badad807077dea22db8f1a7c7a6aa48084a1169d2
- Size of remote file:
- 28.1 kB
- SHA256:
- bcd28519425a96b85ab5a52bf99014519812c81fca6c863fc72d7391c5dabcb1
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