Instructions to use KaeGeeRow/UrbanDailyLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KaeGeeRow/UrbanDailyLife with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/OpenFLUX.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("KaeGeeRow/UrbanDailyLife") prompt = "Imam Khomeini's face on a stone mosaic." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: Imam Khomeini's face on a stone mosaic.
output:
url: images/20241012_005057.jpg
base_model: ostris/OpenFLUX.1
instance_prompt: Urban Daily Life
license: apache-2.0
Urban Daily Life

- Prompt
- Imam Khomeini's face on a stone mosaic.
Model description
Urban Daily Life Photography Simulator :)
Trigger words
You should use Urban Daily Life to trigger the image generation.
Download model
Download them in the Files & versions tab.