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Street-Bokeh-Flux-LoRA

Prompt
Street Bokeh, a young woman with long dark hair, wearing a black hooded jacket, stands in front of a backdrop of colorful lights. The backdrop is blurred, creating a stark contrast with the vibrant colors of the lights.
Prompt
Street Bokeh, A close-up shot of a mans face, the mans eyes are slightly open, and he is wearing a pair of dark sunglasses with tinted lenses. His hair is dark brown, and his eyebrows are a light brown. His mouth is slightly closed, as if he is looking to the left. The background is blurred, and there are a bunch of colorful lights in the background, adding a pop of color to the scene.
Prompt
Street Bokeh, Captured at eye-level, a close-up shot of a womans face, adorned with a pair of tinted sunglasses. The womans eyes are tinted a deep pink, and her hair is cascading over her shoulders. She is dressed in a leopard print jacket, a silver necklace, and earrings. The background is blurred, creating a vibrant and colorful backdrop.

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/Street-Bokeh-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 23 & 2550
Epoch 12 Save Every N Epochs 1
Labeling: florence2-en(natural language & English)

Total Images Used for Training : 13 [ Hi-RES ]

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/Street-Bokeh-Flux-LoRA"
trigger_word = "Street Bokeh"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://freeflo.ai/

Trigger words

You should use Street Bokeh to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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