Instructions to use darkvibes/vibes-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darkvibes/vibes-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darkvibes/vibes-v2", 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 darkvibes/vibes-v2: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/darkvibes/vibes-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://darkvibes/vibes-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/darkvibes/vibes-v2/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 6fa65e653e4e3d10e57eda989682b4709ded09bca25845c5bc985ef4c23d37ab
- Size of remote file:
- 681 MB
- SHA256:
- a109e551428034ed55aad7288f2fe4f3b1bd1939aaabcaf5230b70a23564d6c2
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