metadata
tags:
- text-to-image
- lora
- diffusers
- template:sd-lora
- flux
- ' image-generation'
widget:
- text: >-
(ruins, broken, summer, dappled sunlight:1.2), sun, tree, forest, scenery,
rock, reflection, water, ancient, overgrown, mountains, sunset, clouds,
mountainous horizon, fantasy, medieval, 1other, looking away, cloak,
(pixel art, pixelated:1.2), (masterpiece, exceptional, best aesthetic,
best quality, masterpiece, extremely detailed:1.2), in the style of
umempart
output:
url: images/Flux_00189_.png
- text: >-
(ruins, broken, snow, dappled sunlight:1.2), sun, tree, forest, scenery,
rock, reflection, ancient, overgrown, mountains, sunset, clouds,
mountainous horizon, fantasy, medieval, 1other, looking away, (pixel art,
pixelated:1.2), (masterpiece, exceptional, best aesthetic, best quality,
masterpiece, extremely detailed:1.2), in the style of umempart
output:
url: images/c363192f-5fa0-4539-8295-b8d9e3e96747.jpeg
- text: >-
(blue theme, summer, dappled sunlight, 1other, looking away, cloak:1.2),
sun, tree, forest, scenery, rock, reflection, water, lake, island,
ancient, overgrown, mountains, sunset, clouds, mountainous horizon,
fantasy, medieval, (pixel art, pixelated:1.2), (masterpiece, exceptional,
best aesthetic, best quality, masterpiece, extremely detailed:1.2), in the
style of umempart
output:
url: images/89af1674-e4df-489a-8a5f-07626fc10b1e.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: umempart
license: mit
datasets:
- UmeAiRT/Ume-Modern_Pixel_Art
LoRA - Modern pixel art
Model description
Here's a new LoRA in a much more modern style.
Based on games I've personally really enjoyed from the modern 2d pixel art category.
This is the first time I've worked with such a large dataset (100), so I'm not sure my settings are optimal.
Don't hesitate to send me feedback or suggestions!
Trigger words
You should use umempart
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training parameter
epochs : 20
steps : 2000
lora_rank : 32
optimizer : prodigy
resolution : 1024