Instructions to use SuhZhang/CorrAdapter-Model-on-MVAdapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SuhZhang/CorrAdapter-Model-on-MVAdapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SuhZhang/CorrAdapter-Model-on-MVAdapter", 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
Download .gitattributes from SuhZhang/CorrAdapter-Model-on-MVAdapter: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
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https://huggingface.co/SuhZhang/CorrAdapter-Model-on-MVAdapter/resolve/main/.gitattributes
- Command line
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hf download hf://SuhZhang/CorrAdapter-Model-on-MVAdapter/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/SuhZhang/CorrAdapter-Model-on-MVAdapter/resolve/main/.gitattributes
135 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.ckpt filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |