Instructions to use AMRUTHA12092002/my-pet-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AMRUTHA12092002/my-pet-cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AMRUTHA12092002/my-pet-cat", 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 AMRUTHA12092002/my-pet-cat: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/AMRUTHA12092002/my-pet-cat/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AMRUTHA12092002/my-pet-cat/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AMRUTHA12092002/my-pet-cat/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 4f85f352e6792b63ea78fe2d0692738f690df3f537c446069984b1979dbb9bef
- Size of remote file:
- 246 MB
- SHA256:
- e5d16e8c08001b1af321620db0f1ec9c8e80fcaa794d69e2d1fe4e0c5a6b5040
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