Instructions to use Aditya190803/xzp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aditya190803/xzp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Aditya190803/xzp", 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 Aditya190803/xzp: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Aditya190803/xzp/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Aditya190803/xzp/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Aditya190803/xzp/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 3f45d4cd0ad9358dd604c6f84d41a2ba5e37cc6cd51482a476d86b9d40a850e1
- Size of remote file:
- 246 MB
- SHA256:
- cf8167057a1afcd33db77449a6c13e875a52f6681b285649df888f709d4ce4c5
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