Instructions to use prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-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-3.5-large-turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/SD3.5-Large-Turbo-HyperRealistic-LoRA") prompt = "Hyper Realistic, dark haired woman is standing in front of orange light, in glossy transparent plastic futuristic raincoat, short hair, volumetric lighting, cinematic angle, glamour vibrant." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
What are the settings?
What setting do you recommend for this LoRa?
Steps
CFG
Lora Strength
Size (WxH)
Four steps are sufficient, with anything from 8 to 12 yielding the best results.
Recommended settings:
- Value: 1.5
- Range: 0.9–1.0, with 0.95 recommended
- Dimensions: 1024 x 1024 (best), 768 x 1024
Sometimes it has artifacts; I’m working on the next version to improve this.
So, I had already looked up; Consider the prompt -
-Hyper Realistic, dark haired woman is standing in front of orange light, in glossy transparent plastic futuristic raincoat, short hair, volumetric lighting, cinematic angle, glamour vibrant.
4 Step
8 Step
12 Step
A margin of 8 to 12 yields better outcomes.
- Tested on various cases 8S looks better, alt 4S is enough for init
Thank You for the response.
what's your recommended value for Shift?
Better adjustments falls between : 0.7 - 0.9. So try this, If you get better in any other randint() kindly mention .


