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metadata
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
  - B&W
  - Bold
  - Shadows
  - Color
widget:
  - text: >-
      Bold Shadows, Captured in a black and white monochromatic shot, a woman
      stands in front of a backdrop of leaves and shadows. She is wearing a
      black bra, her hair cascades over her shoulders. Her eyes are squinted and
      her lips are pursed. Her hair is long and cascades in a ponytail, adding a
      touch of movement to her face. The wall behind her is made up of white
      tiles, creating a stark contrast to the womans body.
    output:
      url: images/BS1.png
  - text: >-
      Bold Shadows, Captured in a black and white monochromatic shot, a woman
      stands in a short black dress, her long, wavy hair cascades over her
      shoulders. The womans left leg is bent at the knee, while her right leg is
      straight at the elbow. She is leaning against a wall, her left arm is
      resting on the wall, adding a touch of balance to the scene. The sun is
      shining down, creating a shadow on the right side of the image. To the
      left of the woman, there are tall buildings, their windows reflecting off
      of them.
    output:
      url: images/BS2.png
  - text: >-
      Bold Shadows, A black and white photograph of Candlelight, in the style of
      street photography, with light projections casting bold shadows. The
      contrast between her dark attire and the stark background creates a
      striking visual impact. Her pose is dynamic yet confident, embodying
      strength amid simplicity, buildings, wide angle 
    output:
      url: images/BS3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Bold Shadows
license: creativeml-openrail-m

Bold-Shadows-Flux-LoRA

Prompt
Bold Shadows, Captured in a black and white monochromatic shot, a woman stands in front of a backdrop of leaves and shadows. She is wearing a black bra, her hair cascades over her shoulders. Her eyes are squinted and her lips are pursed. Her hair is long and cascades in a ponytail, adding a touch of movement to her face. The wall behind her is made up of white tiles, creating a stark contrast to the womans body.
Prompt
Bold Shadows, Captured in a black and white monochromatic shot, a woman stands in a short black dress, her long, wavy hair cascades over her shoulders. The womans left leg is bent at the knee, while her right leg is straight at the elbow. She is leaning against a wall, her left arm is resting on the wall, adding a touch of balance to the scene. The sun is shining down, creating a shadow on the right side of the image. To the left of the woman, there are tall buildings, their windows reflecting off of them.
Prompt
Bold Shadows, A black and white photograph of Candlelight, in the style of street photography, with light projections casting bold shadows. The contrast between her dark attire and the stark background creates a striking visual impact. Her pose is dynamic yet confident, embodying strength amid simplicity, buildings, wide angle

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/Bold-Shadows-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 22 & 2440
Epoch 10 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 14 

Best Dimensions

  • 1024 x 1024 (Default)

Setting Up

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Bold-Shadows-Flux-LoRA"
trigger_word = "Bold Shadows"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use Bold Shadows to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.