Instructions to use xixircc/MetaRigCapture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xixircc/MetaRigCapture with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xixircc/MetaRigCapture", 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
- Xet hash:
- e3e229c325fa4eebc4788d4d5d5048a7a5b5b190cfafca7d14e89244ee1a2d36
- Size of remote file:
- 89.4 MB
- SHA256:
- 5bab9bfb3cb979f3098ac3b934b1641dbf87f835e0b03c2ca6d88dcf18c83d27
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