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 unet/diffusion_pytorch_model.bin from ZProphete/VR3B3: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/ZProphete/VR3B3/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ZProphete/VR3B3@refs/pr/2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ZProphete/VR3B3/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- d4591725e8d2f53f5c075e2e7715c5bf1945e7c709b2a847584bb4674a5924f9
- Size of remote file:
- 3.44 GB
- SHA256:
- ec7a3ff6b657c471ba6302db54989e9cbb7a058cb176136c5cc1ccbc7a0c7c99
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