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 23648655.jpeg from thejagstudio/LordSwaminaryan: direct link, hf CLI and curl.
- Browser
- Download file 324 kB
-
https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648655.jpeg
- Command line
-
hf download hf://thejagstudio/LordSwaminaryan/23648655.jpeg
-
curl -L -o 23648655.jpeg https://huggingface.co/thejagstudio/LordSwaminaryan/resolve/main/23648655.jpeg
324 kB

- Xet hash:
- df5e6cba7de52df7d1d397ff1f8f4731b025bdbe07d5e2e956507b69e2002446
- Size of remote file:
- 324 kB
- SHA256:
- d74f3b310a8c3006abe25311438ec27eaa81f351505ca4eeea87f3d86259aec0
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