---
tags:
- image-to-image
- lora
- diffusers
- template:sd-lora
- ai-toolkit
- colorization
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: >-
   colorize
license: unlicense
widget:
  - text: Colorize this photo (optional)
    output:
      url: outputs/01.png
  - src: inputs/01.jpg
    prompt: Colorize this photo (optional)
    output:
      url: outputs/01.png
  - text: Colorize this photo (optional)
    output:
      url: outputs/02.png
  - src: inputs/02.jpg
    prompt: Colorize this photo (optional)
    output:
      url: outputs/02.png
  - text: Colorize this photo (optional)
    output:
      url: outputs/03.png
  - src: inputs/03.jpg
    prompt: Colorize this photo (optional)
    output:
      url: outputs/03.png
---
# COLORIZE TRUER (Variant 6) 
**Higher Rank (64) Training**
## Low(ish) Rank Adapter (LoRA) for Flux Kontext
## Towards Consistent + Promptless Kontext Photo Colorization
## |||| By SilverAgePoets.com ||||

<Gallery />

Our aim with this checkpoint, & other Colorize Truer/+ LoRAs, is to help restore Kontext Dev towards the far more impressive photo colorization capabilities of Kontext Pro/Max, whilst further reinforcing task-specific reliability & realism at the standards of professional manual colorization. <br>
This adapter was trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) over roughly 600 grayscale/colorized pairings of real archival photos. <br>

The colorized (output) portion of the custom dataset we consolidated to train these "Colorize Truer" LoRAs consists of: <br>
Open use manual/professional colorizations of historical photos (roughly half of the data). <br>
Colorized outputs from Flux Kontext Max & Pro (the rest of the data). <br>

The source photos were sourced from public domain, and represent a broad scope of geographical, cultural, aesthetic, historical (from late 1830s thru today), & other paradigms/contexts. <br>

## Trigger words
No trigger words neccessary. <br>
With that said, with some inputs, it may be neccessary to specify `colorize` or `colorize and upscale this photo. Leave all else the same.` as the instruction prompt. <br>
One may also prompt in suggestions/corrections/directions, as far as specific choices of color. <br>
To "modernize" outputs, one may try: `Colorize and upscale the photo. Restore crisp detailing. Rich tonality. Make indistinguishable from top quality UHD 50MP+ or 12k+ pro 2025 DSLR camera colorized_02.CR2 photo. restore blurred details. Retain facial features with great fidelity source. Add fine detailing only where missing. Render real life like tones. Leave unchanged all else about photo.`, etc...  <br>

## Further usage tips:
For many inputs, a somewhat lower LoRA scale measure (0.7 or 0.8) seems to work best. Other inputs, however, seem to benefit from scales at around 1.2/1.3. <br>
Make sure to match-up input/output dimensions, primarily to ensure fidelity of details/identity. <br>
With starkly differing dimensions, the model might also get confused in regards to its instruction. <br>