SebastianBodza/flux_lora_retro_linedrawing_style_v1

Prompt

Retro TOK illustration style of a lone hiker standing triumphantly on the summit of a snow-capped mountain. The hiker, wearing a red jacket and backpack, is silhouetted against a clear blue sky. The word "ASCEND" is painted in bold, blue letters at the base of the mountain, adding a powerful message to the image. The overall impression is one of determination, achievement, and the beauty of nature. Dramatic high quality

Prompt

Retro TOK illustration style of a vivid aurora borealis lighting up a landscape with norwegian houses

Prompt

Retro TOK illustration style of a cyclist riding through a scenic mountain trail

Prompt

Retro TOK illustration style of a person giving a ted talk on a TED stage with the TED logo, "the speaker"

Prompt

Retro TOK illustration style of a quaint, old-fashioned bookstore, with the words "Tales of Wonder" etched in gold lettering above the storefront

Prompt

Retro TOK illustration style of a painting of a barista creating an intricate latte art design, with the "Coffee Creations" logo skillfully formed within the latte foam, grey linedrawing background

Prompt

Retro TOK illustration style of a painting of a barista creating an intricate latte art design, with the "Coffee Creations" logo skillfully formed within the latte foam

Template:

Retro TOK illustration style of 

If you want to enforce the grey linedrawing of the background a bit more, include the words grey linedrawing background

Flux_Lora_Retro_Linedrawing_Style_V1

Dataset based on manually processed images from: Dictionnaire universel d'histoire naturelle https://www.biodiversitylibrary.org/page/19537981

This only used the images from the book above. There are more different volumes with different subjects.

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use TOK to trigger the image generation.

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('SebastianBodza/flux_lora_retro_linedrawing_style_v1', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers