Text-to-Image
Diffusers
Safetensors
lora
template:diffusion-lora
Super-Realism
Flux.1-Dev
Dynamic-Realism
Realistic
Photorealism
Hi-Res
UltraRealism
Diffusion
Face
Realism-Engine
RAW
4K
Instructions to use Polycruz9/super-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Polycruz9/super-realism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Polycruz9/super-realism") prompt = "Super Realism, Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Gated model You can list files but not access them
Preview of files found in this repository