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

- Xet hash:
- 88ccda0b309e6fa17be70d4b39910295ddf100cc3024c6f8eee0a837933bf431
- Size of remote file:
- 426 kB
- SHA256:
- afd4151dc2f0d52d35d72f9365c1ec4ca8daa969561042dd622532986cbbdfcd
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