AlekseyCalvin/HSTcolorKlimbim_Rank256FluxLoRA_BySilverAgePoets

|_/'KLIMBIM-style HSToric COLOR (Rank 256 Variant)'_| (FLUX LoRA) by SilverAgePoets.com

-| - | - | - |- Lowish-Rank Adapter (LoRA) for an Artfully Colorized Look -| - | - | -

Prompt

HST style detailed kodachrome analog color photo of a young clownish poet wandering alone streets of Petrograd in 1917, full height, detailed, amateur photo, candid, textured moderately worn skin with pores, elaborately detailed crisp background, professional early-20th century color photography, textured surfaces, complex interplay of light and shadow

Trained on a few hundred quality images selected by us from among Klimbim's masterful hands-on colorizations of historical photographs.
Please check out Klimbim's amazing colorizations for yourself at the following online galleries:
KLIMBIM'S COLORIZED PHOTOGRAPHS GALLERY/ARCHIVE #1
KLIMBIM'S COLORIZED PHOTOGRAPHS GALLERY/ARCHIVE #2

I know it may be a cliche to say so... But Klimbim's work truly brings the past to life!

This is a Rank 256 adapter: Dim 256/Alpha 256 (pardon the file size). In other words, this adapter is capable of influencing up to approximately 1.4billion training-targeted parameters from among a typical FLUX-family model's 12 billion parameters base scope. Diffusion Transformer (DiT) LoRA only. No text-encoder training weights in this checkpoint.

Prefix Your Prompt With:

You should use HST style or/and HST style detailed kodachrome analog color photo, textured moderately worn skin with pores, elaborately detailed crisp background, professional early-20th century color photography, textured surfaces, complex interplay of light and shadow to trigger this adapter's influence on your generations via a FLUX-type base model.
(That is, with the base model + this adapter loaded, its effects would be more fully activated, harnessed, focused, or reinforced by prompts prefixed with the word-token 'HST' or prephrased with 'HST style autochrome analog photo' or suchlike.

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('AlekseyCalvin/HSTcolorKlimbim_Rank256FluxLoRA_BySilverAgePoets')
image = pipeline('your prompt').images[0]

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