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 Settings
- Draw Things
- DiffusionBee
Realism_LoRA_xl_base_1

- 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
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Keltezaa/Realism_LoRA
Base model
stabilityai/stable-diffusion-xl-base-1.0