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 codecandy/super-realism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codecandy/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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codecandy/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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 936a47c36fac30cf2824d31971313f8eed39c45a0656469088762e669ded051b
- Size of remote file:
- 6.05 MB
- SHA256:
- 3c2a94def708b0a2e85483dd8aee15fe642ea15f668eab04fb436993ed6a1e9d
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