Instructions to use kog50000/zzov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kog50000/zzov with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kog50000/zzov", 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 kog50000/zzov: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/kog50000/zzov/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kog50000/zzov/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kog50000/zzov/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- ef24496cf7635786b25d7985ef62b704e6427301db0bdd044221958b13cdef70
- Size of remote file:
- 246 MB
- SHA256:
- 82f6975cd41011d4cc17dee76b627539b10e6ff58a44a05f351947dd36b3aa93
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