Instructions to use Kirtika8/petdog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kirtika8/petdog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kirtika8/petdog", 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 Kirtika8/petdog: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Kirtika8/petdog/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Kirtika8/petdog/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Kirtika8/petdog/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f9595f325a157fe9c7316ab7310ccf7d79567362259fe5ece0f93308f378d8ee
- Size of remote file:
- 492 MB
- SHA256:
- 1363ad828a1d8adc92215dab3bf7ae6dc39e70872e3baa2ac64cd19a609318ae
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