Instructions to use thejagstudio/LordSwaminaryan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thejagstudio/LordSwaminaryan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thejagstudio/LordSwaminaryan") prompt = "Lord Swaminarayan as a mid-aged man in a white turban with a blue and silver necklace, wearing royal attire, biopic, Ashoka Tano inspired by Ram Chandra Shukla, three-quarter view photo, majestic androgynous prince, Jonathan Wayshak, traditional makeup, cinematic lighting, regal clothes, fanart, profile pic, Ayan Nag, edited." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download 23648646.jpeg from thejagstudio/LordSwaminaryan: direct link, hf CLI and curl.
- Browser
- Download file 425 kB
-
https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648646.jpeg
- Command line
-
hf download hf://thejagstudio/LordSwaminaryan/23648646.jpeg
-
curl -L -o 23648646.jpeg https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648646.jpeg
425 kB

- Xet hash:
- 8dd5af79c1aa8c4b7c77fcd914edb55007e6c87a788c5b9f6b26c8fbf61de9c6
- Size of remote file:
- 425 kB
- SHA256:
- 7bea5255ea376603eabe18bbdf368e8e45f08ae8cc23cd21c568e79574431e39
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.