Instructions to use Kha37lid/phokhali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kha37lid/phokhali with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kha37lid/phokhali", 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 vae/diffusion_pytorch_model.bin from Kha37lid/phokhali: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Kha37lid/phokhali/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Kha37lid/phokhali/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Kha37lid/phokhali/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 70b1ad04f3fad5387517816b588e77f1ae0f980318edbf2c2a63f00304292026
- Size of remote file:
- 335 MB
- SHA256:
- f002acd53fafe69357763e016fb14476ba423b5901d032d13310596c3fa99087
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