WizWhite/Wizards_vintage_romance_novel-FLUX
Wizard's Vintage Romance Novel
<Gallery />
(CivitAI)
Model description
<h3 id="the-wizard's-vintage-romance-novel-bxf7xparw">The Wizard's Vintage Romance Novel</h3><p>The original is now available for FLUX.</p><p><strong>Best use for FLUX:</strong><br />• This LoRA is case-sensitive to a certain degree<br />• Prompt format 1: A Harlequin romance book cover with the title "YYY"<br />• Prompt format 2: Photo of a Harlequin romance book cover with the title "YYY"<br />• Use 2:3 Ratio for a single book, use landscape if you want more (adjust prompt)<br />• Feel free to ask questions in the comments<br />• Post in the gallery</p><p><strong>Most of my examples use these settings: </strong><br />Hyper 8-step LoRA, 10-12 steps DDIM Trailing (SGM Uniform), CFG: 3.5</p><p><strong><span style="color:rgb(250, 82, 82)">Be sure to check out my other 'Text'-based LoRAs: </span></strong><br /><a target="_blank" rel="ugc" href="https://civitai.com/user/WizardWhitebeard/models">https://civitai.com/user/WizardWhitebeard/models</a><strong><span style="color:rgb(250, 82, 82)"><br /></span></strong></p>
Trigger words
You should use Harlequin Romance Book Cover to trigger the image generation.
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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('WizWhite/wizard-s-vintage-romance-novel', weight_name='Wiz-Vintage_Romance-FLUX.safetensors')
image = pipeline('Photo of a harlequin romance book cover with the title "The Wizard's Vintage Romance". The book is on a bedside table. It features a pulp art illustration of Wizard Whitebeard with a long white beard. Promotional sticker on the bottom say "THE ORIGINAL - now for FLUX"
').images[0]For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers