Instructions to use NickKolok/Realistic_Vision_V60_B1-conv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickKolok/Realistic_Vision_V60_B1-conv with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NickKolok/Realistic_Vision_V60_B1-conv", 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 text_encoder/pytorch_model.bin from NickKolok/Realistic_Vision_V60_B1-conv: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/NickKolok/Realistic_Vision_V60_B1-conv/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://NickKolok/Realistic_Vision_V60_B1-conv/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NickKolok/Realistic_Vision_V60_B1-conv/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f77ba19cc70ea615a1907c58c8e16e570f79e4af0713832e8216b735ced202df
- Size of remote file:
- 492 MB
- SHA256:
- a911e1c702d332eff08b085dc51b5c40c92242b3c0232367261a5034f5e86951
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