Instructions to use ZProphete/VR3B3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZProphete/VR3B3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZProphete/VR3B3", 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 ZProphete/VR3B3: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ZProphete/VR3B3/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ZProphete/VR3B3@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ZProphete/VR3B3/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 002353df868df0608910ee84b7d625fe92296af07851520cf7d92d6d4952be75
- Size of remote file:
- 492 MB
- SHA256:
- 76fc1f60f586477c3bfc349e95916cde1b5252958cecc28795231d2e863d159e
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