Instructions to use haytin69/skshanda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haytin69/skshanda with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haytin69/skshanda", 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 haytin69/skshanda: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/haytin69/skshanda/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://haytin69/skshanda/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/haytin69/skshanda/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- a562e55378ce7c120bf69599e55212f138fa9a07ffefc7cc656f9bc8e83ec33b
- Size of remote file:
- 246 MB
- SHA256:
- 7b1182f5f75cee90cdd8731ea2d8c600e550034b50dde78aae929c99aec609ec
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