Instructions to use Keltezaa/Realism_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Realism_LoRA 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("Keltezaa/Realism_LoRA") prompt = "Closeup photo of a Blue eye. ultra realistic, high quality, supreme focus, dynamic light, SLR, Trending, Unreal Engine, photo realistic, High Quality, Detailed Iris, Detailed retina, Detailed skin" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by Keltezaa - opened
Generated example for model Keltezaa/Realism_LoRA.
Prompt: Closeup photo of a Blue eye. ultra realistic, high quality, supreme focus, dynamic light, SLR, Trending, Unreal Engine, photo realistic, High Quality, Detailed Iris, Detailed retina, Detailed skin
Keltezaa changed pull request status to merged