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---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
instance_prompt: Retro TOK illustration style of
widget:
- text: >-
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
output:
url: images/ascend.webp
- text: >-
Retro TOK illustration style of a vivid aurora borealis lighting up a landscape with norwegian houses
output:
url: images/aurora.webp
- text: >-
Retro TOK illustration style of a cyclist riding through a scenic mountain trail
output:
url: images/bike.webp
- text: >-
Retro TOK illustration style of a person giving a ted talk on a TED stage with the TED logo, "the speaker"
output:
url: images/ted.webp
- text: >-
Retro TOK illustration style of a quaint, old-fashioned bookstore, with the words "Tales of Wonder" etched in gold lettering above the storefront
output:
url: images/bookstore.webp
- text: >-
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
output:
url: images/coffee.webp
- text: >-
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
output:
url: images/coffee2.webp
---
<Gallery />
# 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](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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