metadata
license: apache-2.0
language:
- en
base_model:
- black-forest-labs/FLUX.1-dev
tags:
- lora
- flux
- diffusers
- image-generation
pipeline_tag: text-to-image
library_name: diffusers
instance_prompt: >-
MGT style tourist magnet collaging landmarks and symbols of , clipart, vector
art cartoon, cityscape collage
widget:
- text: >-
MGT style tourist magnet collaging landmarks and symbols of San Francisco
from the bay direction, bridgeless, unbridged, clipart, vector art
cartoon, cityscape collage, with overall composition which is bright,
colorful, crisp, balanced, and lively, showcasing the city's various
attractions and symbols, professional quality commercial art, such as PIER
39, SF zoo, Salesforce tower, chinatown, City Lights bookstore, SF zoo,
Coit tower, and more. Stylized cartoony titular text: "SAN FRANCISCO" top
and center
output:
url: images/example_sfvi44ont.png
MGT Style City Fridge Magnet Flux LoRA
||||||| By SilverAgePoets.com |||||||
For generating landscape/horizontal-aspect ratio images collaging the iconic landmarks of a specified cities, and reminiscent of tourist-oriented commercial art found on fridge magnets at souvenir shops.
- Prompt
- MGT style tourist magnet collaging landmarks and symbols of San Francisco from the bay direction, bridgeless, unbridged, clipart, vector art cartoon, cityscape collage, with overall composition which is bright, colorful, crisp, balanced, and lively, showcasing the city's various attractions and symbols, professional quality commercial art, such as PIER 39, SF zoo, Salesforce tower, chinatown, City Lights bookstore, SF zoo, Coit tower, and more. Stylized cartoony titular text: "SAN FRANCISCO" top and center
Trigger words
You should use MGT style tourist magnet collaging landmarks and symbols of + ____ (insert city after), + (optionally) clipart, vector art cartoon, cityscape collage, with overall composition which is bright, colorful, crisp, balanced, and lively, showcasing the city's various attractions and symbols, professional quality commercial art.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/Olga_Rozanova_Style_LoRA_Var2_BySilverAgePoets')
image = pipeline('your prompt').images[0]