Instructions to use completely-anonymous/msv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use completely-anonymous/msv with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("completely-anonymous/msv", 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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Download README.md from completely-anonymous/msv: direct link, hf CLI and curl.
- Browser
- Download file 296 Bytes
-
https://huggingface.co/completely-anonymous/msv/resolve/main/README.md
- Command line
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hf download hf://completely-anonymous/msv/README.md
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curl -L -o README.md https://huggingface.co/completely-anonymous/msv/resolve/main/README.md
296 Bytes
| license: apache-2.0 | |
| # Inference checkpoints | |
| ```bash | |
| hf download completely-anonymous/msv --local-dir checkpoints | |
| ``` | |
| - `Wan2.1-Fun-1.3B-Inp/` | |
| - `wav2vec2-base-960h/` | |
| - `extra/1_3B-single-v1.pth` | |
| - `extra/14B-multi-v1.pth` | |
| - `extra/config_af2v_1_3B.json` | |
| - `extra/config_af2v_14B.json` | |