Instructions to use HigherHu/SVOR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HigherHu/SVOR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HigherHu/SVOR", 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 remove_model_stage2.safetensors from HigherHu/SVOR: direct link, hf CLI and curl.
- Browser
- Download file 544 MB
-
https://huggingface.co/HigherHu/SVOR/resolve/main/remove_model_stage2.safetensors
- Command line
-
hf download hf://HigherHu/SVOR/remove_model_stage2.safetensors
-
curl -L -o remove_model_stage2.safetensors https://huggingface.co/HigherHu/SVOR/resolve/main/remove_model_stage2.safetensors
544 MB
- Xet hash:
- 94ab9425956dd537a358ad025ab0da083e3e0c22c2a0122ba601e5e17d8c5587
- Size of remote file:
- 544 MB
- SHA256:
- fd52a47c4c49f5f2d73e2b823c32ab245030060ead4c4ce3aa4d7198fc197b9d
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