Instructions to use ujouy/FluxRealismLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ujouy/FluxRealismLoRA 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("ujouy/FluxRealismLoRA") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Please note this is just a copy to port to huggingface, all rights reserved to the original creator.
Flux.1 D

- Prompt
- -

- Prompt
- -
Model description
Created by Xlabs AI originally posted to Hugging face
Trigger words
You should use real to trigger the image generation.
You should use realistic to trigger the image generation.
You should use ultra realistic to trigger the image generation.
You should use ultra-realistic to trigger the image generation.
You should use photorealistic to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for ujouy/FluxRealismLoRA
Base model
black-forest-labs/FLUX.1-dev