Instructions to use smjain/khujli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smjain/khujli with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smjain/khujli", dtype=torch.bfloat16, device_map="cuda") prompt = "khujli" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from smjain/khujli: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/smjain/khujli/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://smjain/khujli/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smjain/khujli/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 7b44fe71f8b3d2dadd4b1e3495c1e6cde22c26c7fad36059a13d475cf20c4444
- Size of remote file:
- 492 MB
- SHA256:
- 56279da3cea43ba5c90cff06acef0802508df67374b3a8903811cee74fcf1ba4
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