Instructions to use zbmacro/Realistic-Vision-V6.0-B1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zbmacro/Realistic-Vision-V6.0-B1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zbmacro/Realistic-Vision-V6.0-B1", 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 zbmacro/Realistic-Vision-V6.0-B1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/zbmacro/Realistic-Vision-V6.0-B1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://zbmacro/Realistic-Vision-V6.0-B1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zbmacro/Realistic-Vision-V6.0-B1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- a7096ff59e97a8661dc8040f201a3ae2542ff2ec07ba5a9cac068782cd4a42aa
- Size of remote file:
- 492 MB
- SHA256:
- 798b3edb15af52b6f6a79196944374ef688d2036557b9cc262330439e8f460a7
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