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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
  - flux-dev
  - Timelines
widget:
  - text: >-
      Mixing Past and Present, a human hand is holding a small, square,
      black-and-white photograph of a cityscape. The photograph is taken from a
      low angle, looking up at the viewer. The hand is positioned in front of a
      gray road with white lines painted on it. To the left of the photograph is
      a black metal fence, and to the right of the fence is a tall brick
      building with balconies and balconies. The building is a light brown
      color, and there are cars parked on the street. The sky is blue, dotted
      with white clouds, adding a pop of color to the scene.
    output:
      url: images/PP1.webp
  - text: >-
      Mixing Past and Present, a persons hand is holding a photograph of a train
      station. The photograph depicts a large group of men in suits and hats,
      standing in a line with their luggage. To the left of the photograph, a
      train is parked on the tracks, and to the right of the train is a platform
      with a sign that reads "London" in orange letters.
    output:
      url: images/PP2.webp
  - text: >-
      Mixing Past and Present,a persons hand is holding a small, square-shaped
      piece of paper in their left hand. The paper is held up in front of the
      camera, revealing a group of children sitting on a wooden floor. The
      children are dressed in dark gray shirts and dark gray pants. A man in a
      black suit is standing on the right side of the frame, adding a touch of
      balance to the scene. The room is filled with desks and chairs, and the
      walls are adorned with white boards and white chalkboards.
    output:
      url: images/PP3.webp
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Mixing Past and Present
license: creativeml-openrail-m

Past-Present-Deep-Mix-Flux-LoRA

Prompt
Mixing Past and Present, a human hand is holding a small, square, black-and-white photograph of a cityscape. The photograph is taken from a low angle, looking up at the viewer. The hand is positioned in front of a gray road with white lines painted on it. To the left of the photograph is a black metal fence, and to the right of the fence is a tall brick building with balconies and balconies. The building is a light brown color, and there are cars parked on the street. The sky is blue, dotted with white clouds, adding a pop of color to the scene.
Prompt
Mixing Past and Present, a persons hand is holding a photograph of a train station. The photograph depicts a large group of men in suits and hats, standing in a line with their luggage. To the left of the photograph, a train is parked on the tracks, and to the right of the train is a platform with a sign that reads "London" in orange letters.
Prompt
Mixing Past and Present,a persons hand is holding a small, square-shaped piece of paper in their left hand. The paper is held up in front of the camera, revealing a group of children sitting on a wooden floor. The children are dressed in dark gray shirts and dark gray pants. A man in a black suit is standing on the right side of the frame, adding a touch of balance to the scene. The room is filled with desks and chairs, and the walls are adorned with white boards and white chalkboards.

The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.

Model description

prithivMLmods/Past-Present-Deep-Mix-Flux-LoRA

Image Processing Parameters

Parameter Value Parameter Value
LR Scheduler constant Noise Offset 0.03
Optimizer AdamW Multires Noise Discount 0.1
Network Dim 64 Multires Noise Iterations 10
Network Alpha 32 Repeat & Steps 27 & 3K
Epoch 15 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 20+ [ Hi-RES ]

Concept Ideation From

Thanks to: https://x.com/an303042/status/1850935776244334989

Trigger words

You should use Mixing Past and Present to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.