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 23648660.jpeg from thejagstudio/LordSwaminaryan: direct link, hf CLI and curl.
- Browser
- Download file 437 kB
-
https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648660.jpeg
- Command line
-
hf download hf://thejagstudio/LordSwaminaryan/23648660.jpeg
-
curl -L -o 23648660.jpeg https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648660.jpeg
437 kB

- Xet hash:
- 4c6c3a4aa0a5282ea48530593767cfcbf9fe5d73049a9ac61bc44ca3b6193f2d
- Size of remote file:
- 437 kB
- SHA256:
- 516161b112ea56af0f24c49c1c728c6e7107806795268e02e5719a3547cbb303
·
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