license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- photorealistic
- realism
- style
- artistic
- realistic
- sdxl vae
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
- text: ' '
output:
url: 23204880.jpeg
- text: ' '
output:
url: 23204838.jpeg
- text: ' '
output:
url: 23204848.jpeg
- text: ' '
output:
url: 23204861.jpeg
Life FX
Model description
Life FX is a LoRA model trained on a diverse set of images emphasizing vivid colors, strong compositions, and a touch of the surreal. It excels at generating images with the following qualities:
Bold Color Palettes: Expect vibrant, often unexpected, color combinations. Think deep blues against bright oranges, coral pinks with water lilies, or the stark contrast of a black and white winter scene.
Emphasis on Texture: "Life FX" is particularly adept at rendering textures, whether it's the smooth leather of a vintage car, the rough surface of weathered rock, or the delicate veins of a flower petal.
Playful Surrealism: While grounded in realism, the model isn't afraid to introduce subtle surreal elements, like a glowing portal in a rock formation or a belt playfully restraining a croissant. This adds a layer of whimsy and the unexpected to its creations.
Strong Compositions: Expect well-defined subjects, balanced arrangements, and a clear focal point in each generated image. "Life FX" understands how to direct the viewer's eye within the frame.
Eclectic Subject Matter: The model is capable of tackling a range of subjects, from natural landscapes and floral close-ups to architectural details and everyday objects.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Tech-Meld/life-fx', weight_name='Life_FX-16.safetensors')
image = pipeline('Your custom prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers