Instructions to use haytin69/jungkook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haytin69/jungkook 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/jungkook", 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/jungkook: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/haytin69/jungkook/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://haytin69/jungkook/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/haytin69/jungkook/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- a8df680a836855c96865f63b5c27bd1bfb59a107c6d3be48bef2a9566457017a
- Size of remote file:
- 246 MB
- SHA256:
- 765d3eb079a97fece1102f27a7563ee6c5658e69f508a47c278954e3c3d65441
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