Instructions to use SG161222/Realistic_Vision_V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/Realistic_Vision_V2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V2.0", 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
Download unet/diffusion_pytorch_model.bin from SG161222/Realistic_Vision_V2.0: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/SG161222/Realistic_Vision_V2.0/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SG161222/Realistic_Vision_V2.0/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SG161222/Realistic_Vision_V2.0/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 3417d39f724af46f8cc099741f4423b63e69c01bce3e137b5493a89acdaa2de7
- Size of remote file:
- 3.44 GB
- SHA256:
- 2a8bb56a8392e633984f33059f99e160b394f7966e03cf37efdf5f0210a2fb89
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