ColorizeTruer_Merge5wRef_KontexFlux_LoRA_bySAP

COLORIZE TRUER (Variant 5)

Experimental Version w/Color Reference Augmentation

Low Rank Adapter (LoRA) for Flux Kontext

Towards Consistent + Promptless Kontext Photo Colorization

|||| By SilverAgePoets.com ||||

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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 checkpoint was merged from several of our trained variants + an additional colorization LoRA that takes reference inputs (via typical control input channels). Alas, this color reference feature is not yet likely to function reliably/predictably. <br> The merge was done using the sd-scripts Flux LoRA merge script. <br> The constituent models were trained with AI Toolkit by Ostris over 500 grayscale/color pairings of real photos. <br>

The colorized (output) portion of our dataset consists of: <br> Open use manual/professional colorizations of historic 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:

Make sure to match-up input/output dimensions, primarily to ensure fidelity of details/identity. With starkly differing dimensions, the model might also get confused in regards to its instruction.