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:
- 2a0c2e0a2d07e76aed041aa87ea6fe31abe2dc713bd51d50efc7d83a73e4b493
- Size of remote file:
- 9.91 MB
- SHA256:
- e7c11828fca3f11348a691241d6e0f3a3c4b2b715ef04e356685816881020619
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