Instructions to use AnjanaB/mypet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AnjanaB/mypet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AnjanaB/mypet", 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 AnjanaB/mypet: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/AnjanaB/mypet/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://AnjanaB/mypet/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AnjanaB/mypet/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- a483fa34ae7cf56871b89096b94d51a586134803a07f9b99424e9a1ae0083220
- Size of remote file:
- 246 MB
- SHA256:
- 6fd8c615c57f0b7b463010155f596dd2e91bf369ec6093d257fd758b22f64f6e
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