Text-to-Image
Diffusers
lora
template:diffusion-lora
stable-diffusion-3.5-large-turbo
hyper-realistic
realism
epic-realism
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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 690f2b8c0032109004fa84ffabeef0eb4e161197c926df3d97f0e19d914faeb3
- Size of remote file:
- 56 kB
- SHA256:
- bdc3d621ceb3f5ffc7c6ac9cc22eff872fffc696036526d7bde804436f56b798
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.