Instructions to use iamkprasad/srj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkprasad/srj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamkprasad/srj") prompt = "SRJ in black clothes , charismatic face, lights of circus in background, bokeh <lora:srj (8):0.9> RAW photo, 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, symmetry pose" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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